[
    {
        "id": "authors:ptmsd-9g284",
        "collection": "authors",
        "collection_id": "ptmsd-9g284",
        "cite_using_url": "https://authors.library.caltech.edu/records/ptmsd-9g284",
        "type": "article",
        "title": "The lives of cells, recorded",
        "author": [
            {
                "family_name": "Askary",
                "given_name": "Amjad",
                "orcid": "0000-0002-2913-8498"
            },
            {
                "family_name": "Chen",
                "given_name": "Wei",
                "orcid": "0000-0002-5255-4166"
            },
            {
                "family_name": "Choi",
                "given_name": "Junhong",
                "orcid": "0000-0001-9291-5977"
            },
            {
                "family_name": "Du",
                "given_name": "Lucia Y.",
                "orcid": "0000-0003-0151-3783"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Gagnon",
                "given_name": "James A.",
                "orcid": "0000-0003-3978-6058"
            },
            {
                "family_name": "Schier",
                "given_name": "Alexander F.",
                "orcid": "0000-0001-7645-5325"
            },
            {
                "family_name": "Seidel",
                "given_name": "Sophie",
                "orcid": "0000-0002-4484-9888"
            },
            {
                "family_name": "Shendure",
                "given_name": "Jay",
                "orcid": "0000-0002-1516-1865"
            },
            {
                "family_name": "Stadler",
                "given_name": "Tanja",
                "orcid": "0000-0001-6431-535X"
            },
            {
                "family_name": "Tran",
                "given_name": "Martin",
                "orcid": "0000-0001-9882-7230",
                "clpid": "Tran-Martin"
            }
        ],
        "abstract": "A paradigm for biology is emerging in which cells can be genetically programmed to write their histories into their own genomes. These records can subsequently be read, and the cellular histories reconstructed, which for each cell could include a record of its lineage relationships, extrinsic influences, internal states and physical locations, over time. DNA recording has the potential to transform the way that we study developmental and disease processes. Recent advances in genome engineering are driving the development of systems for DNA recording, and meanwhile single-cell and spatial omics technologies increasingly enable the recovery of the recorded information. Combined with advances in computational and phylogenetic inference algorithms, the DNA recording paradigm is beginning to bear fruit. In this Perspective, we explore the rationale and technical basis of DNA recording, what aspects of cellular biology might be recorded and how, and the types of discovery that we anticipate this paradigm will enable.",
        "doi": "10.1038/s41576-024-00788-w",
        "issn": "1471-0056",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Reviews Genetics",
        "publication_date": "2025-03",
        "volume": "26",
        "pages": "203\u2013222"
    },
    {
        "id": "authors:bry5v-p1a17",
        "collection": "authors",
        "collection_id": "bry5v-p1a17",
        "cite_using_url": "https://authors.library.caltech.edu/records/bry5v-p1a17",
        "type": "article",
        "title": "Diversity in Notch ligand-receptor signaling interactions",
        "author": [
            {
                "family_name": "Kuintzle",
                "given_name": "Rachael",
                "orcid": "0000-0002-1035-4983",
                "clpid": "Kuintzle-Rachael-Christine"
            },
            {
                "family_name": "Santat",
                "given_name": "Leah A",
                "orcid": "0000-0003-0511-9740",
                "clpid": "Santat-Leah-A"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The Notch signaling pathway uses families of ligands and receptors to transmit signals to nearby cells. These components are expressed in diverse combinations in different cell types, interact in a many-to-many fashion, both within the same cell (in cis) and between cells (in trans), and their interactions are modulated by Fringe glycosyltransferases. A fundamental question is how the strength of Notch signaling depends on which pathway components are expressed, at what levels, and in which cells. Here, we used a quantitative, bottom-up, cell-based approach to systematically characterize trans-activation, cis-inhibition, and cis-activation signaling efficiencies across a range of ligand and Fringe expression levels in Chinese hamster and mouse cell lines. Each ligand (Dll1, Dll4, Jag1, and Jag2) and receptor variant (Notch1 and Notch2) analyzed here exhibited a unique profile of interactions, Fringe dependence, and signaling outcomes. All four ligands were able to bind receptors in cis and in trans, and all ligands trans-activated both receptors, although Jag1-Notch1 signaling was substantially weaker than other ligand-receptor combinations. Cis-interactions were predominantly inhibitory, with the exception of the Dll1- and Dll4-Notch2 pairs, which exhibited cis-activation stronger than trans-activation. Lfng strengthened Delta-mediated trans-activation and weakened Jagged-mediated trans-activation for both receptors. Finally, cis-ligands showed diverse cis-inhibition strengths, which depended on the identity of the trans-ligand as well as the receptor. The map of receptor-ligand-Fringe interaction outcomes revealed here should help guide rational perturbation and control of the Notch pathway.",
        "doi": "10.7554/elife.91422",
        "issn": "2050-084X",
        "publisher": "eLife Sciences Publications, Ltd",
        "publication": "eLife",
        "publication_date": "2025-01-03",
        "volume": "12"
    },
    {
        "id": "authors:wgy1x-2tf47",
        "collection": "authors",
        "collection_id": "wgy1x-2tf47",
        "cite_using_url": "https://authors.library.caltech.edu/records/wgy1x-2tf47",
        "type": "article",
        "title": "Temporal BMP4 effects on mouse embryonic and extraembryonic development",
        "author": [
            {
                "family_name": "Hadas",
                "given_name": "Ron"
            },
            {
                "family_name": "Rubinstein",
                "given_name": "Hernan"
            },
            {
                "family_name": "Mittnenzweig",
                "given_name": "Markus"
            },
            {
                "family_name": "Mayshar",
                "given_name": "Yoav"
            },
            {
                "family_name": "Ben-Yair",
                "given_name": "Raz"
            },
            {
                "family_name": "Cheng",
                "given_name": "Saifeng"
            },
            {
                "family_name": "Aguilera-Castrejon",
                "given_name": "Alejandro",
                "orcid": "0000-0002-1339-7778"
            },
            {
                "family_name": "Reines",
                "given_name": "Netta"
            },
            {
                "family_name": "Orenbuch",
                "given_name": "Ayelet-Hashahar"
            },
            {
                "family_name": "Lifshitz",
                "given_name": "Aviezer",
                "orcid": "0000-0002-8458-9507"
            },
            {
                "family_name": "Chen",
                "given_name": "Dong-Yuan",
                "orcid": "0000-0003-2179-2847",
                "clpid": "Chen-Dong-Yuan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Zernicka-Goetz",
                "given_name": "Magdalena",
                "orcid": "0000-0002-7004-2471",
                "clpid": "Zernicka-Goetz-M"
            },
            {
                "family_name": "Hanna",
                "given_name": "Jacob H.",
                "orcid": "0000-0003-2042-9974"
            },
            {
                "family_name": "Tanay",
                "given_name": "Amos",
                "orcid": "0000-0001-9419-3824"
            },
            {
                "family_name": "Stelzer",
                "given_name": "Yonatan",
                "orcid": "0000-0001-9207-1479"
            }
        ],
        "abstract": "<p>The developing placenta, which in mice originates through the extraembryonic ectoderm (ExE), is essential for mammalian embryonic development. Yet unbiased characterization of the differentiation dynamics of the ExE and its interactions with the embryo proper remains incomplete. Here we develop a temporal single-cell model of mouse gastrulation that maps continuous and parallel differentiation in embryonic and extraembryonic lineages. This is matched with a three-way perturbation approach to target signalling from the embryo proper, the ExE alone, or both. We show that ExE specification involves early spatial and transcriptional bifurcation of uncommitted ectoplacental cone cells and chorion progenitors. Early BMP4 signalling from chorion progenitors is required for proper differentiation of uncommitted ectoplacental cone cells and later for their specification towards trophoblast giant cells. We also find biphasic regulation by BMP4 in the embryo. The early ExE-originating BMP4 signal is necessary for proper mesoendoderm bifurcation and for allantois and primordial germ cell specification. However, commencing at embryonic day 7.5, embryo-derived BMP4 restricts the primordial germ cell pool size by favouring differentiation of their extraembryonic mesoderm precursors towards an allantois fate. ExE and embryonic tissues are therefore entangled in time, space and signalling axes, highlighting the importance of their integrated understanding and modelling in vivo and in vitro.</p>",
        "doi": "10.1038/s41586-024-07937-5",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2024-10-17",
        "volume": "634",
        "pages": "652\u2013661"
    },
    {
        "id": "authors:1zb8r-5xa88",
        "collection": "authors",
        "collection_id": "1zb8r-5xa88",
        "cite_using_url": "https://authors.library.caltech.edu/records/1zb8r-5xa88",
        "type": "article",
        "title": "Synthetic protein circuits for programmable control of mammalian cell death",
        "author": [
            {
                "family_name": "Xia",
                "given_name": "Shiyu",
                "orcid": "0000-0001-9024-0689",
                "clpid": "Xia-Shiyu"
            },
            {
                "family_name": "Lu",
                "given_name": "Andrew C.",
                "clpid": "Lu-Andrew-C"
            },
            {
                "family_name": "Tobin",
                "given_name": "Victoria",
                "orcid": "0000-0002-2195-639X",
                "clpid": "Tobin-Victoria"
            },
            {
                "family_name": "Luo",
                "given_name": "Kaiwen",
                "orcid": "0000-0002-1597-1219",
                "clpid": "Luo-Kaiwen"
            },
            {
                "family_name": "Moeller",
                "given_name": "Lukas",
                "orcid": "0000-0002-4375-8837",
                "clpid": "Moeller-Lukas"
            },
            {
                "family_name": "Shon",
                "given_name": "D. Judy",
                "orcid": "0000-0001-8379-6195",
                "clpid": "Shon-D-Judy"
            },
            {
                "family_name": "Du",
                "given_name": "Rongrong",
                "orcid": "0009-0003-4942-3020",
                "clpid": "Du-Rongrong"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "orcid": "0009-0008-2626-1803",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Sui",
                "given_name": "Margaret",
                "orcid": "0009-0004-4129-0902",
                "clpid": "Sui-Margaret"
            },
            {
                "family_name": "Horns",
                "given_name": "Felix",
                "orcid": "0000-0001-5872-5061",
                "clpid": "Horns-Felix"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "<div class=\"abstract author\">\n<div>\n<p>Natural cell death pathways such as apoptosis and pyroptosis play dual roles: they eliminate harmful cells and modulate the immune system by dampening or stimulating inflammation. Synthetic protein circuits capable of triggering specific death programs in target cells could similarly remove harmful cells while appropriately modulating immune responses. However, cells actively influence their death modes in response to natural signals, making it challenging to control death modes. Here, we introduce naturally inspired &ldquo;synpoptosis&rdquo; circuits that proteolytically regulate engineered executioner proteins and mammalian cell death. These circuits direct cell death modes, respond to combinations of protease inputs, and selectively eliminate target cells. Furthermore, synpoptosis circuits can be transmitted intercellularly, offering a foundation for engineering synthetic killer cells that induce desired death programs in target cells without self-destruction. Together, these results lay the groundwork for programmable control of mammalian cell death.</p>\n</div>\n</div>\n<div class=\"abstract graphical\"></div>",
        "doi": "10.1016/j.cell.2024.03.031",
        "pmcid": "PMC11127782",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2024-05-23",
        "series_number": "11",
        "volume": "187",
        "issue": "11",
        "pages": "2785-2800.e16"
    },
    {
        "id": "authors:zz876-8vm73",
        "collection": "authors",
        "collection_id": "zz876-8vm73",
        "cite_using_url": "https://authors.library.caltech.edu/records/zz876-8vm73",
        "type": "article",
        "title": "Lineage motifs as developmental modules for control of cell type proportions",
        "author": [
            {
                "family_name": "Tran",
                "given_name": "Martin",
                "orcid": "0000-0001-9882-7230",
                "clpid": "Tran-Martin"
            },
            {
                "family_name": "Askary",
                "given_name": "Amjad",
                "orcid": "0000-0002-2913-8498",
                "clpid": "Askary-Amjad"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "<div class=\"abstract author\">\n<div>\n<p>In multicellular organisms, cell types must be produced and maintained in appropriate proportions. One way this is achieved is through committed progenitor cells or extrinsic interactions that produce specific patterns of descendant cell types on lineage trees. However, cell fate commitment is probabilistic in most contexts, making it difficult to infer these dynamics and understand how they establish overall cell type proportions. Here, we introduce Lineage Motif Analysis (LMA), a method that recursively identifies statistically overrepresented patterns of cell fates on lineage trees as potential signatures of committed progenitor states or extrinsic interactions. Applying LMA to published datasets reveals spatial and temporal organization of cell fate commitment in zebrafish and rat retina and early mouse embryonic development. Comparative analysis of vertebrate species suggests that lineage motifs facilitate adaptive evolutionary variation of retinal cell type proportions. LMA thus provides insight into complex developmental processes by decomposing them into simpler underlying modules.</p>\n</div>\n</div>\n<div class=\"abstract graphical\"></div>",
        "pmcid": "PMC10910499",
        "issn": "1534-5807",
        "publisher": "Cell Press",
        "publication": "Developmental Cell",
        "publication_date": "2024-03-25",
        "series_number": "6",
        "volume": "59",
        "issue": "6",
        "pages": "812-826.e3"
    },
    {
        "id": "authors:y9p3r-dma37",
        "collection": "authors",
        "collection_id": "y9p3r-dma37",
        "cite_using_url": "https://authors.library.caltech.edu/records/y9p3r-dma37",
        "type": "article",
        "title": "Combinatorial expression motifs in signaling pathways",
        "author": [
            {
                "family_name": "Granados",
                "given_name": "Alejandro A.",
                "orcid": "0000-0002-6275-9800",
                "clpid": "Granados-Alejandro-A"
            },
            {
                "family_name": "Kanrar",
                "given_name": "Nivedita",
                "orcid": "0000-0003-0047-951X",
                "clpid": "Kanrar-Nivedita"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "<div>\n<p class=\"p p-first-last\">In animal cells, molecular pathways often comprise families of variant components, such as ligands or receptors. These pathway components are differentially expressed by different cell types, potentially tailoring pathway function to cell context. However, it has remained unclear how pathway expression profiles are distributed across cell types and whether similar profiles can occur in dissimilar cell types. Here, using single-cell gene expression datasets, we identified pathway expression motifs, defined as recurrent expression profiles that are broadly distributed across diverse cell types. Motifs appeared in core pathways, including TGF-&beta;, Notch, Wnt, and the SRSF splice factors, and involved combinatorial co-expression of multiple components. Motif usage was weakly correlated between pathways in adult cell types and during dynamic developmental transitions. Together, these results suggest a mosaic view of cell type organization, in which different cell types operate many of the same pathways in distinct modes.</p>\n</div>",
        "doi": "10.1016/j.xgen.2023.100463",
        "pmcid": "PMC10794782",
        "issn": "2666-979X",
        "publisher": "Cell Press",
        "publication": "Cell Genomics",
        "publication_date": "2024-01-10",
        "series_number": "1",
        "volume": "4",
        "issue": "1",
        "pages": "100463"
    },
    {
        "id": "authors:42eqy-fkv91",
        "collection": "authors",
        "collection_id": "42eqy-fkv91",
        "cite_using_url": "https://authors.library.caltech.edu/records/42eqy-fkv91",
        "type": "article",
        "title": "Tuning Methylation-Dependent Silencing Dynamics by Synthetic Modulation of CpG Density",
        "author": [
            {
                "family_name": "Ma",
                "given_name": "Yitong",
                "orcid": "0000-0003-4446-7326",
                "clpid": "Ma-Yitong"
            },
            {
                "family_name": "Budde",
                "given_name": "Mark W.",
                "orcid": "0000-0002-4359-1424",
                "clpid": "Budde-Mark-W"
            },
            {
                "family_name": "Zhu",
                "given_name": "Junqin",
                "orcid": "0000-0002-8159-6402",
                "clpid": "Zhu-Junqin"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "<p>Methylation of cytosines in CG dinucleotides (CpGs) within promoters has been shown to lead to gene silencing in mammals in natural contexts. Recently, engineered recruitment of methyltransferases (DNMTs) at specific loci was shown to be sufficient to silence synthetic and endogenous gene expression through this mechanism. A critical parameter for DNA methylation-based silencing is the distribution of CpGs within the target promoter. However, how the number or density of CpGs in the target promoter affects the dynamics of silencing by DNMT recruitment has remained unclear. Here, we constructed a library of promoters with systematically varying CpG content, and analyzed the rate of silencing in response to recruitment of DNMT. We observed a tight correlation between silencing rate and CpG content. Further, methylation-specific analysis revealed a constant accumulation rate of methylation at the promoter after DNMT recruitment. We identified a single CpG site between TATA box and transcription start site (TSS) that accounted for a substantial part of the difference in silencing rates between promoters with differing CpG content, indicating that certain residues play disproportionate roles in controlling silencing. Together, these results provide a library of promoters for synthetic epigenetic and gene regulation applications, as well as insights into the regulatory link between CpG content and silencing rate.</p>",
        "doi": "10.1021/acssynbio.3c00078",
        "pmcid": "PMC10510725",
        "issn": "2161-5063",
        "publisher": "American Chemical Society",
        "publication": "ACS Synthetic Biology",
        "publication_date": "2023-09-15",
        "series_number": "9",
        "volume": "12",
        "issue": "9",
        "pages": "2536-2545"
    },
    {
        "id": "authors:5wh3x-cj477",
        "collection": "authors",
        "collection_id": "5wh3x-cj477",
        "cite_using_url": "https://authors.library.caltech.edu/records/5wh3x-cj477",
        "type": "article",
        "title": "Engineering RNA export for measurement and manipulation of living cells",
        "author": [
            {
                "family_name": "Horns",
                "given_name": "Felix",
                "orcid": "0000-0001-5872-5061",
                "clpid": "Horns-Felix"
            },
            {
                "family_name": "Martinez",
                "given_name": "Joe A.",
                "clpid": "Martniez-Joe-A"
            },
            {
                "family_name": "Fan",
                "given_name": "Chengcheng",
                "orcid": "0000-0003-4213-5758",
                "clpid": "Fan-Chengcheng"
            },
            {
                "family_name": "Haque",
                "given_name": "Mehernaz",
                "clpid": "Haque-Mehernaz"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Tobin",
                "given_name": "Victoria",
                "orcid": "0000-0002-2195-639X",
                "clpid": "Tobin-Victoria-R"
            },
            {
                "family_name": "Santat",
                "given_name": "Leah",
                "orcid": "0000-0003-0511-9740",
                "clpid": "Santat-Leah"
            },
            {
                "family_name": "Maggiolo",
                "given_name": "Ailiena O.",
                "orcid": "0000-0003-1707-5060",
                "clpid": "Maggiolo-Ailiena-O"
            },
            {
                "family_name": "Bjorkman",
                "given_name": "Pamela J.",
                "orcid": "0000-0002-2277-3990",
                "clpid": "Bjorkman-P-J"
            },
            {
                "family_name": "Lois",
                "given_name": "Carlos",
                "orcid": "0000-0002-7305-2317",
                "clpid": "Lois-Carlos"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "<p>A system for programmable export of RNA molecules from living cells would enable both non-destructive monitoring of cell dynamics and engineering of cells capable of delivering executable RNA programs to other cells. We developed genetically encoded cellular RNA exporters, inspired by viruses, that efficiently and selectively package and secrete target RNA molecules from mammalian cells within protective nanoparticles. Exporting and sequencing RNA barcodes enabled non-destructive monitoring of cell population dynamics with clonal resolution. Further, by incorporating fusogens into the nanoparticles, we demonstrated delivery, expression, and functional activity of exported mRNA in recipient cells. We term these systems COURIER (Controlled Output and Uptake of RNA for Interrogation, Expression, and Regulation). COURIER enables measurement of cell dynamics and establishes a foundation for hybrid cell and gene therapies based on cell-to-cell delivery of RNA.</p>",
        "doi": "10.1016/j.cell.2023.06.013",
        "pmcid": "PMC10528933",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2023-08-17",
        "series_number": "17",
        "volume": "186",
        "issue": "17",
        "pages": "3642-3658.e32"
    },
    {
        "id": "authors:hj8zd-08q75",
        "collection": "authors",
        "collection_id": "hj8zd-08q75",
        "cite_using_url": "https://authors.library.caltech.edu/records/hj8zd-08q75",
        "type": "article",
        "title": "Reconstitution of morphogen shuttling circuits",
        "author": [
            {
                "family_name": "Zhu",
                "given_name": "Ronghui",
                "orcid": "0000-0001-8171-482X",
                "clpid": "Zhu-Ronghui"
            },
            {
                "family_name": "Santat",
                "given_name": "Leah A.",
                "orcid": "0000-0003-0511-9740",
                "clpid": "Santat-Leah-A"
            },
            {
                "family_name": "Markson",
                "given_name": "Joseph S.",
                "orcid": "0000-0002-3167-3887",
                "clpid": "Markson-Joseph-S"
            },
            {
                "family_name": "Nandagopal",
                "given_name": "Nagarajan",
                "orcid": "0000-0002-0469-6549",
                "clpid": "Nandagopal-Nagarajan"
            },
            {
                "family_name": "Gregrowicz",
                "given_name": "Jan",
                "clpid": "Gregrowicz-Jan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Developing tissues form spatial patterns by establishing concentration gradients of diffusible signaling proteins called morphogens. The bone morphogenetic protein (BMP) morphogen pathway uses a family of extracellular modulators to reshape signaling gradients by actively \"shuttling\" ligands to different locations. It has remained unclear what circuits are sufficient to enable shuttling, what other patterns they can generate, and whether shuttling is evolutionarily conserved. Here, using a synthetic, bottom-up approach, we compared the spatiotemporal dynamics of different extracellular circuits. Three proteins\u2014Chordin, Twsg, and the BMP-1 protease\u2014successfully displaced gradients by shuttling ligands away from the site of production. A mathematical model explained the different spatial dynamics of this and other circuits. Last, combining mammalian and\n            Drosophila\n            components in the same system suggests that shuttling is a conserved capability. Together, these results reveal principles through which extracellular circuits control the spatiotemporal dynamics of morphogen signaling.",
        "doi": "10.1126/sciadv.adf9336",
        "pmcid": "PMC10337948",
        "issn": "2375-2548",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science Advances",
        "publication_date": "2023-07-14",
        "series_number": "28",
        "volume": "9",
        "issue": "28",
        "pages": "eadf9336"
    },
    {
        "id": "authors:chs4b-tpy53",
        "collection": "authors",
        "collection_id": "chs4b-tpy53",
        "cite_using_url": "https://authors.library.caltech.edu/records/chs4b-tpy53",
        "type": "article",
        "title": "The computational capabilities of many-to-many protein interaction networks",
        "author": [
            {
                "family_name": "Klumpe",
                "given_name": "Heidi E.",
                "orcid": "0000-0001-8938-2006",
                "clpid": "Klumpe-Heidi-E"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "orcid": "0000-0002-3716-7520",
                "clpid": "Garcia-Ojalvo-Jordi"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            }
        ],
        "abstract": "<div class=\"tsec sec\">\n<div>\n<p class=\"p p-first-last\">Many biological circuits comprise sets of protein variants that interact with one another in a many-to-many, or promiscuous, fashion. These architectures can provide powerful computational capabilities that are especially critical in multicellular organisms. Understanding the principles of biochemical computations in these circuits could allow more precise cellular control of cellular behaviors. However, these systems are inherently difficult to analyze, due to their large number of interacting molecular components, partial redundancies, and cell context dependence. Here, we discuss recent experimental and theoretical advances that are beginning to reveal how promiscuous circuits compute, what roles those computations play in natural biological contexts, and how promiscuous architectures can be applied for the design of synthetic multicellular behaviors.</p>\n</div>\n</div>\n<div class=\"tsec sec\"></div>",
        "doi": "10.1016/j.cels.2023.05.001",
        "pmcid": "PMC10318606",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2023-06",
        "series_number": "6",
        "volume": "14",
        "issue": "6",
        "pages": "430-446"
    },
    {
        "id": "authors:1nbj8-kzc90",
        "collection": "authors",
        "collection_id": "1nbj8-kzc90",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20230613-730735700.10",
        "type": "article",
        "title": "Alternative splicing of GSDMB modulates killer lymphocyte-triggered pyroptosis",
        "author": [
            {
                "family_name": "Kong",
                "given_name": "Qing",
                "orcid": "0000-0002-3902-243X",
                "clpid": "Kong-Qing"
            },
            {
                "family_name": "Xia",
                "given_name": "Shiyu",
                "orcid": "0000-0001-9024-0689",
                "clpid": "Xia-Shiyu"
            },
            {
                "family_name": "Pan",
                "given_name": "Xingxin",
                "orcid": "0000-0002-4429-4878",
                "clpid": "Pan-Xingxin"
            },
            {
                "family_name": "Ye",
                "given_name": "Kaixiong",
                "orcid": "0000-0003-4658-7292",
                "clpid": "Ye-Kaixiong"
            },
            {
                "family_name": "Li",
                "given_name": "Zhouyihan",
                "orcid": "0000-0002-9307-0096",
                "clpid": "Li-Zhouyihan"
            },
            {
                "family_name": "Li",
                "given_name": "Haoyan",
                "orcid": "0000-0002-6786-0705",
                "clpid": "Li-Haoyan"
            },
            {
                "family_name": "Tang",
                "given_name": "Xiaoqiang",
                "orcid": "0000-0002-3434-267X",
                "clpid": "Tang-Xiaoqiang"
            },
            {
                "family_name": "Sahni",
                "given_name": "Nidhi",
                "orcid": "0000-0002-9155-5882",
                "clpid": "Sahni-Nidhi"
            },
            {
                "family_name": "Yi",
                "given_name": "S. Stephen",
                "orcid": "0000-0003-0047-8103",
                "clpid": "Yi-S-Stephen"
            },
            {
                "family_name": "Liu",
                "given_name": "Xing",
                "orcid": "0000-0002-6277-3856",
                "clpid": "Liu-Xing"
            },
            {
                "family_name": "Wu",
                "given_name": "Hao",
                "orcid": "0000-0002-7281-8579",
                "clpid": "Wu-Hao"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Lieberman",
                "given_name": "Judy",
                "orcid": "0000-0002-6200-4715",
                "clpid": "Lieberman-Judy"
            },
            {
                "family_name": "Zhang",
                "given_name": "Zhibin",
                "orcid": "0000-0003-1349-2713",
                "clpid": "Zhang-Zhibin"
            }
        ],
        "abstract": "Granzyme A from killer lymphocytes cleaves gasdermin B (GSDMB) and triggers pyroptosis in targeted human tumor cells, eliciting antitumor immunity. However, GSDMB has a controversial role in pyroptosis and has been linked to both anti- and protumor functions. Here, we found that GSDMB splicing variants are functionally distinct. Cleaved N-terminal (NT) fragments of GSDMB isoforms 3 and 4 caused pyroptosis, but isoforms 1, 2, and 5 did not. The nonfunctional isoforms have a deleted or modified exon 6 and therefore lack a stable belt motif. The belt likely contributes to the insertion of oligomeric GSDMB-NTs into the membrane. Consistently, noncytotoxic GSDMB-NTs blocked pyroptosis caused by cytotoxic GSDMB-NTs in a dominant-negative manner. Upon natural killer (NK) cell attack, GSDMB3-expressing cells died by pyroptosis, whereas GSDMB4-expressing cells died by mixed pyroptosis and apoptosis, and GSDMB1/2-expressing cells died only by apoptosis. GSDMB4 partially resisted NK cell-triggered cleavage, suggesting that only GSDMB3 is fully functional. GSDMB1-3 were the most abundant isoforms in the tested tumor cell lines and were similarly induced by interferon-\u03b3 and the chemotherapy drug methotrexate. Expression of cytotoxic GSDMB3/4 isoforms, but not GSDMB1/2 isoforms that are frequently up-regulated in tumors, was associated with better outcomes in bladder and cervical cancers, suggesting that GSDMB3/4-mediated pyroptosis was protective in those tumors. Our study indicates that tumors may block and evade killer cell-triggered pyroptosis by generating noncytotoxic GSDMB isoforms. Therefore, therapeutics that favor the production of cytotoxic GSDMB isoforms by alternative splicing may improve antitumor immunity.",
        "doi": "10.1126/sciimmunol.adg3196",
        "pmcid": "PMC10338320",
        "issn": "2470-9468",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science Immunology",
        "publication_date": "2023-04-28",
        "series_number": "82",
        "volume": "8",
        "issue": "82",
        "pages": "Art. No. eadg3196"
    },
    {
        "id": "authors:cfa4m-40a78",
        "collection": "authors",
        "collection_id": "cfa4m-40a78",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20230203-893712500.43",
        "type": "article",
        "title": "The sound of silence: Transgene silencing in mammalian cell engineering",
        "author": [
            {
                "family_name": "Cabrera",
                "given_name": "Alan",
                "orcid": "0000-0002-2546-0260",
                "clpid": "Cabrera-Alan"
            },
            {
                "family_name": "Edelstein",
                "given_name": "Hailey I.",
                "orcid": "0000-0002-8077-5492"
            },
            {
                "family_name": "Glykofrydis",
                "given_name": "Fokion",
                "orcid": "0000-0002-0865-4573"
            },
            {
                "family_name": "Love",
                "given_name": "Kasey S.",
                "orcid": "0000-0001-7544-0340"
            },
            {
                "family_name": "Palacios",
                "given_name": "Sebastian"
            },
            {
                "family_name": "Tycko",
                "given_name": "Josh",
                "orcid": "0000-0002-4108-0575"
            },
            {
                "family_name": "Zhang",
                "given_name": "Meng",
                "orcid": "0000-0002-4076-6276"
            },
            {
                "family_name": "Lensch",
                "given_name": "Sarah",
                "orcid": "0000-0003-1450-3242"
            },
            {
                "family_name": "Shields",
                "given_name": "Cara E.",
                "orcid": "0000-0002-3791-8259"
            },
            {
                "family_name": "Livingston",
                "given_name": "Mark"
            },
            {
                "family_name": "Weiss",
                "given_name": "Ron"
            },
            {
                "family_name": "Zhao",
                "given_name": "Huimin"
            },
            {
                "family_name": "Haynes",
                "given_name": "Karmella A.",
                "orcid": "0000-0002-5975-577X"
            },
            {
                "family_name": "Morsut",
                "given_name": "Leonardo",
                "orcid": "0000-0001-7049-3478"
            },
            {
                "family_name": "Chen",
                "given_name": "Yvonne Y.",
                "orcid": "0000-0002-5583-119X"
            },
            {
                "family_name": "Khalil",
                "given_name": "Ahmad S.",
                "orcid": "0000-0002-8214-0546"
            },
            {
                "family_name": "Wong",
                "given_name": "Wilson W.",
                "orcid": "0000-0001-8394-889X"
            },
            {
                "family_name": "Collins",
                "given_name": "James J."
            },
            {
                "family_name": "Rosser",
                "given_name": "Susan J.",
                "orcid": "0000-0002-2560-6485",
                "clpid": "Rosser-Susan-J"
            },
            {
                "family_name": "Polizzi",
                "given_name": "Karen",
                "orcid": "0000-0001-5435-2667",
                "clpid": "Polizzi-Karen"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Fussenegger",
                "given_name": "Martin",
                "orcid": "0000-0001-8545-667X",
                "clpid": "Fussenegger-Martin"
            },
            {
                "family_name": "Hilton",
                "given_name": "Isaac B.",
                "orcid": "0000-0002-3064-8532",
                "clpid": "Hilton-Isaac-B"
            },
            {
                "family_name": "Leonard",
                "given_name": "Joshua N.",
                "orcid": "0000-0003-4359-6126",
                "clpid": "Leonard-Joshua-N"
            },
            {
                "family_name": "Bintu",
                "given_name": "Lacramioara",
                "orcid": "0000-0001-5443-6633",
                "clpid": "Bintu-Lacramioara"
            },
            {
                "family_name": "Galloway",
                "given_name": "Kate E.",
                "orcid": "0000-0001-7416-3193",
                "clpid": "Galloway-Kate-E"
            },
            {
                "family_name": "Deans",
                "given_name": "Tara L.",
                "orcid": "0000-0002-2361-2195",
                "clpid": "Deans-Tara-L"
            }
        ],
        "abstract": "To elucidate principles operating in native biological systems and to develop novel biotechnologies, synthetic biology aims to build and integrate synthetic gene circuits within native transcriptional networks. The utility of synthetic gene circuits for cell engineering relies on the ability to control the expression of all constituent transgene components. Transgene silencing, defined as the loss of expression over time, persists as an obstacle for engineering primary cells and stem cells with transgenic cargos. In this review, we highlight the challenge that transgene silencing poses to the robust engineering of mammalian cells, outline potential molecular mechanisms of silencing, and present approaches for preventing transgene silencing. We conclude with a perspective identifying future research directions for improving the performance of synthetic gene circuits.",
        "doi": "10.1016/j.cels.2022.11.005",
        "pmcid": "PMC9880859",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2022-12-21",
        "series_number": "12",
        "volume": "13",
        "issue": "12",
        "pages": "950-973"
    },
    {
        "id": "authors:0hqa5-02a70",
        "collection": "authors",
        "collection_id": "0hqa5-02a70",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20230221-18374200.6",
        "type": "article",
        "title": "Periodic spatial patterning with a single morphogen",
        "author": [
            {
                "family_name": "Wang",
                "given_name": "Sheng",
                "clpid": "Wang-Sheng"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "orcid": "0000-0002-3716-7520",
                "clpid": "Garcia-Ojalvo-Jordi"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "During multicellular development, periodic spatial patterning systems generate repetitive structures, such as digits, vertebrae, and teeth. Turing patterning provides a foundational paradigm for understanding such systems. The simplest Turing systems are believed to require at least two morphogens to generate periodic patterns. Here, using mathematical modeling, we show that a simpler circuit, including only a single diffusible morphogen, is sufficient to generate long-range, spatially periodic patterns that propagate outward from transient initiating perturbations and remain stable after the perturbation is removed. Furthermore, an additional bistable intracellular feedback or operation on a growing cell lattice can make patterning robust to noise. Together, these results show that a single morphogen can be sufficient for robust spatial pattern formation and should provide a foundation for engineering pattern formation in the emerging field of synthetic developmental biology.",
        "doi": "10.1016/j.cels.2022.11.001",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2022-12",
        "series_number": "12",
        "volume": "13",
        "issue": "12",
        "pages": "1033-1047.e7"
    },
    {
        "id": "authors:ny5rx-x3886",
        "collection": "authors",
        "collection_id": "ny5rx-x3886",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20221010-454096500.25",
        "type": "article",
        "title": "Embryo\u00a0model completes gastrulation to neurulation and organogenesis",
        "author": [
            {
                "family_name": "Amadei",
                "given_name": "Gianluca",
                "orcid": "0000-0001-5405-968X",
                "clpid": "Amadei-Gianluca"
            },
            {
                "family_name": "Handford",
                "given_name": "Charlotte E.",
                "orcid": "0000-0002-5245-8027",
                "clpid": "Handford-Charlotte-E"
            },
            {
                "family_name": "Qiu",
                "given_name": "Chengxiang",
                "orcid": "0000-0002-6346-8669",
                "clpid": "Qiu-Chengxiang"
            },
            {
                "family_name": "De Jonghe",
                "given_name": "Joachim",
                "orcid": "0000-0003-0584-8265",
                "clpid": "De-Jonghe-Joachim"
            },
            {
                "family_name": "Greenfeld",
                "given_name": "Hannah",
                "clpid": "Greenfeld-Hannah"
            },
            {
                "family_name": "Tran",
                "given_name": "Martin",
                "clpid": "Tran-Martin"
            },
            {
                "family_name": "Martin",
                "given_name": "Beth K.",
                "orcid": "0000-0002-9661-014X",
                "clpid": "Martin-Beth-K"
            },
            {
                "family_name": "Chen",
                "given_name": "Dong-Yuan",
                "orcid": "0000-0003-2179-2847",
                "clpid": "Chen-Dong-Yuan"
            },
            {
                "family_name": "Aguilera-Castrejon",
                "given_name": "Alejandro",
                "orcid": "0000-0002-1339-7778",
                "clpid": "Aguilera-Castrejon-Alejandro"
            },
            {
                "family_name": "Hanna",
                "given_name": "Jacob H.",
                "orcid": "0000-0003-2042-9974",
                "clpid": "Hanna-Jacob-H"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Hollfelder",
                "given_name": "Florian",
                "orcid": "0000-0002-1367-6312",
                "clpid": "Hollfelder-Florian"
            },
            {
                "family_name": "Shendure",
                "given_name": "Jay",
                "orcid": "0000-0002-1516-1865",
                "clpid": "Shendure-Jay"
            },
            {
                "family_name": "Glover",
                "given_name": "David M.",
                "orcid": "0000-0003-0956-0103",
                "clpid": "Glover-D-M"
            },
            {
                "family_name": "Zernicka-Goetz",
                "given_name": "Magdalena",
                "orcid": "0000-0002-7004-2471",
                "clpid": "Zernicka-Goetz-M"
            }
        ],
        "abstract": "Embryonic stem (ES) cells can undergo many aspects of mammalian embryogenesis in vitro, but their developmental potential is substantially extended by interactions with extraembryonic stem cells, including trophoblast stem (TS) cells, extraembryonic endoderm stem (XEN) cells and inducible XEN (iXEN) cells. Here we assembled stem cell-derived embryos in vitro from mouse ES cells, TS cells and iXEN cells and showed that they recapitulate the development of whole natural mouse embryo in utero up to day 8.5 post-fertilization. Our embryo model displays headfolds with defined forebrain and midbrain regions and develops a beating heart-like structure, a trunk comprising a neural tube and somites, a tail bud containing neuromesodermal progenitors, a gut tube, and primordial germ cells. This complete embryo model develops within an extraembryonic yolk sac that initiates blood island development. Notably, we demonstrate that the neurulating embryo model assembled from Pax6-knockout ES cells aggregated with wild-type TS cells and iXEN cells recapitulates the ventral domain expansion of the neural tube that occurs in natural, ubiquitous Pax6-knockout embryos. Thus, these complete embryoids are a powerful in vitro model for dissecting the roles of diverse cell lineages and genes in development. Our results demonstrate the self-organization ability of ES cells and two types of extraembryonic stem cells to reconstitute mammalian development through and beyond gastrulation to neurulation and early organogenesis.",
        "doi": "10.1038/s41586-022-05246-3",
        "pmcid": "PMC9534772",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2022-10-06",
        "series_number": "7930",
        "volume": "610",
        "issue": "7930",
        "pages": "143-153"
    },
    {
        "id": "authors:9nx6n-5ne43",
        "collection": "authors",
        "collection_id": "9nx6n-5ne43",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200727-084029052",
        "type": "article",
        "title": "Dynamics and functional roles of splicing factor autoregulation",
        "author": [
            {
                "family_name": "Ding",
                "given_name": "Fangyuan",
                "orcid": "0000-0003-0118-5441",
                "clpid": "Ding-Fangyuan"
            },
            {
                "family_name": "Su",
                "given_name": "Christina J.",
                "orcid": "0000-0002-9223-9777",
                "clpid": "Su-Christina-J"
            },
            {
                "family_name": "Edmonds",
                "given_name": "KeHuan Kuo",
                "clpid": "Edmonds-KeHuan-Kuo"
            },
            {
                "family_name": "Liang",
                "given_name": "Guohao",
                "clpid": "Liang-Guohao"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Non-core spliceosome components are essential, conserved regulators of alternative splicing. They provide concentration-dependent control of diverse pre-mRNAs. Many splicing factors direct unproductive splicing of their own pre-mRNAs through negative autoregulation. However, the impact of such feedback loops on splicing dynamics at the single-cell level remains unclear. Here, we developed a system to quantitatively analyze negative autoregulatory splicing dynamics by splicing factor SRSF1 in response to perturbations in single HEK293 cells. We show that negative autoregulatory splicing provides critical functions for gene regulation, establishing a ceiling of SRSF1 protein concentration, reducing cell-cell heterogeneity in SRSF1 levels, and buffering variation in transcription. Most important, it adapts SRSF1 splicing activity to variations in demand from other pre-mRNA substrates. A minimal mathematical model of autoregulatory splicing explains these experimentally observed features and provides values for effective biochemical parameters. These results reveal the unique functional roles that splicing negative autoregulation plays in homeostatically regulating transcriptional programs.",
        "doi": "10.1016/j.celrep.2022.110985",
        "pmcid": "PMC9262138",
        "issn": "2211-1247",
        "publisher": "Cell Press",
        "publication": "Cell Reports",
        "publication_date": "2022-06-21",
        "series_number": "12",
        "volume": "39",
        "issue": "12",
        "pages": "Art. No. 110985"
    },
    {
        "id": "authors:4a7y9-nzb92",
        "collection": "authors",
        "collection_id": "4a7y9-nzb92",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20201210-134335099",
        "type": "article",
        "title": "Ligand-receptor promiscuity enables cellular addressing",
        "author": [
            {
                "family_name": "Su",
                "given_name": "Christina J.",
                "orcid": "0000-0002-9223-9777",
                "clpid": "Su-Christina-J"
            },
            {
                "family_name": "Murugan",
                "given_name": "Arvind",
                "orcid": "0000-0001-5464-917X",
                "clpid": "Murugan-Arvind"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Yeluri",
                "given_name": "Akshay",
                "orcid": "0000-0001-8654-1673",
                "clpid": "Yeluri-Akshay"
            },
            {
                "family_name": "Bois",
                "given_name": "Justin S.",
                "orcid": "0000-0001-7137-8746",
                "clpid": "Bois-J-S"
            },
            {
                "family_name": "Klumpe",
                "given_name": "Heidi",
                "orcid": "0000-0001-8938-2006",
                "clpid": "Klumpe-Heidi-E"
            },
            {
                "family_name": "Langley",
                "given_name": "Matthew A.",
                "orcid": "0000-0003-2890-5584",
                "clpid": "Langley-Matthew-A"
            },
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In multicellular organisms, secreted ligands selectively activate, or \"address,\" specific target cell populations to control cell fate decision-making and other processes. Key cell-cell communication pathways use multiple promiscuously interacting ligands and receptors, provoking the question of how addressing specificity can emerge from molecular promiscuity. To investigate this issue, we developed a general mathematical modeling framework based on the bone morphogenetic protein (BMP) pathway architecture. We find that promiscuously interacting ligand-receptor systems allow a small number of ligands, acting in combinations, to address a larger number of individual cell types, defined by their receptor expression profiles. Promiscuous systems outperform seemingly more specific one-to-one signaling architectures in addressing capability. Combinatorial addressing extends to groups of cell types, is robust to receptor expression noise, grows more powerful with increases in the number of receptor variants, and is maximized by specific biochemical parameter relationships. Together, these results identify design principles governing cellular addressing by ligand combinations.",
        "doi": "10.1016/j.cels.2022.03.001",
        "pmcid": "PMC10897978",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2022-05-18",
        "series_number": "5",
        "volume": "13",
        "issue": "5",
        "pages": "408-425"
    },
    {
        "id": "authors:4jqdv-nrv37",
        "collection": "authors",
        "collection_id": "4jqdv-nrv37",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20201210-094756085",
        "type": "article",
        "title": "The context-dependent, combinatorial logic of BMP signaling",
        "author": [
            {
                "family_name": "Klumpe",
                "given_name": "Heidi E.",
                "orcid": "0000-0001-8938-2006",
                "clpid": "Klumpe-Heidi-E"
            },
            {
                "family_name": "Langley",
                "given_name": "Matthew A.",
                "orcid": "0000-0003-2890-5584",
                "clpid": "Langley-Matthew-A"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Su",
                "given_name": "Christina J.",
                "orcid": "0000-0002-9223-9777",
                "clpid": "Su-Christina-J"
            },
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Cell-cell communication systems typically comprise families of ligand and receptor variants that function together in combinations. Pathway activation depends on the complex way in which ligands are presented extracellularly and receptors are expressed by the signal-receiving cell. To understand the combinatorial logic of such a system, we systematically measured pairwise bone morphogenetic protein (BMP) ligand interactions in cells with varying receptor expression. Ligands could be classified into equivalence groups based on their profile of positive and negative synergies with other ligands. These groups varied with receptor expression, explaining how ligands can functionally replace each other in one context but not another. Context-dependent combinatorial interactions could be explained by a biochemical model based on the competitive formation of alternative signaling complexes with distinct activities. Together, these results provide insights into the roles of BMP combinations in developmental and therapeutic contexts and establish a framework for analyzing other combinatorial, context-dependent signaling systems.",
        "doi": "10.1016/j.cels.2022.03.002",
        "pmcid": "PMC9127470",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2022-05-18",
        "series_number": "5",
        "volume": "13",
        "issue": "5",
        "pages": "388-407"
    },
    {
        "id": "authors:yc4sr-fb679",
        "collection": "authors",
        "collection_id": "yc4sr-fb679",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200909-145940519",
        "type": "article",
        "title": "Synthetic mammalian signaling circuits for robust cell population control",
        "author": [
            {
                "family_name": "Ma",
                "given_name": "Yitong",
                "orcid": "0000-0003-4446-7326",
                "clpid": "Ma-Yitong"
            },
            {
                "family_name": "Budde",
                "given_name": "Mark W.",
                "orcid": "0000-0002-4359-1424",
                "clpid": "Budde-Mark-W"
            },
            {
                "family_name": "Mayalu",
                "given_name": "Micha\u00eblle N.",
                "orcid": "0000-0002-9678-0157",
                "clpid": "Mayalu-Micha\u00eblle-N"
            },
            {
                "family_name": "Zhu",
                "given_name": "Junqin",
                "orcid": "0000-0002-8159-6402",
                "clpid": "Zhu-Junqin"
            },
            {
                "family_name": "Lu",
                "given_name": "Andrew C.",
                "orcid": "0000-0002-7594-6445",
                "clpid": "Lu-Andrew-C"
            },
            {
                "family_name": "Murray",
                "given_name": "Richard M.",
                "orcid": "0000-0002-5785-7481",
                "clpid": "Murray-R-M"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In multicellular organisms, cells actively sense and control their own population density. Synthetic mammalian quorum-sensing circuits could provide insight into principles of population control and extend cell therapies. However, a key challenge is reducing their inherent sensitivity to \"cheater\" mutations that evade control. Here, we repurposed the plant hormone auxin to enable orthogonal mammalian cell-cell communication and quorum sensing. We designed a paradoxical population control circuit, termed \"Paradaux,\" in which auxin stimulates and inhibits net cell growth at different concentrations. This circuit limited population size over extended timescales of up to 42 days of continuous culture. By contrast, when operating in a non-paradoxical regime, population control became more susceptible to mutational escape. These results establish auxin as a versatile \"private\" communication system and demonstrate that paradoxical circuit architectures can provide robust population control.",
        "doi": "10.1016/j.cell.2022.01.026",
        "pmcid": "PMC8995209",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2022-03-17",
        "series_number": "6",
        "volume": "185",
        "issue": "6",
        "pages": "967-979"
    },
    {
        "id": "authors:7d2gz-agv16",
        "collection": "authors",
        "collection_id": "7d2gz-agv16",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20211026-141150169",
        "type": "article",
        "title": "Protease-controlled secretion and display of intercellular signals",
        "author": [
            {
                "family_name": "Vlahos",
                "given_name": "Alexander E.",
                "orcid": "0000-0002-2154-8791",
                "clpid": "Vlahos-Alexander-E"
            },
            {
                "family_name": "Kang",
                "given_name": "Jeewoo",
                "orcid": "0000-0002-1439-2602",
                "clpid": "Kang-Jeewoo"
            },
            {
                "family_name": "Aldrete",
                "given_name": "Carlos A.",
                "orcid": "0000-0003-3795-4572",
                "clpid": "Aldrete-Carlos-A"
            },
            {
                "family_name": "Zhu",
                "given_name": "Ronghui",
                "orcid": "0000-0001-8171-482X",
                "clpid": "Zhu-Ronghui"
            },
            {
                "family_name": "Chong",
                "given_name": "Lucy S.",
                "orcid": "0000-0002-5858-9984",
                "clpid": "Chong-Lucy-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Gao",
                "given_name": "Xiaojing J.",
                "orcid": "0000-0002-3094-1456",
                "clpid": "Gao-Xiaojing-J"
            }
        ],
        "abstract": "To program intercellular communication for biomedicine, it is crucial to regulate the secretion and surface display of signaling proteins. If such regulations are at the protein level, there are additional advantages, including compact delivery and direct interactions with endogenous signaling pathways. Here we create a modular, generalizable design called Retained Endoplasmic Cleavable Secretion (RELEASE), with engineered proteins retained in the endoplasmic reticulum and displayed/secreted in response to specific proteases. The design allows functional regulation of multiple synthetic and natural proteins by synthetic protease circuits to realize diverse signal processing capabilities, including logic operation and threshold tuning. By linking RELEASE to additional sensing and processing circuits, we can achieve elevated protein secretion in response to \"undruggable\" oncogene KRAS mutants. RELEASE should enable the local, programmable delivery of intercellular cues for a broad variety of fields such as neurobiology, cancer immunotherapy and cell transplantation.",
        "doi": "10.1038/s41467-022-28623-y",
        "pmcid": "PMC8854555",
        "issn": "2041-1723",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Communications",
        "publication_date": "2022-02-17",
        "volume": "13",
        "pages": "Art. No. 912"
    },
    {
        "id": "authors:dcas8-y4s76",
        "collection": "authors",
        "collection_id": "dcas8-y4s76",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20210212-105104460",
        "type": "article",
        "title": "Synthetic multistability in mammalian cells",
        "author": [
            {
                "family_name": "Zhu",
                "given_name": "Ronghui",
                "orcid": "0000-0001-8171-482X",
                "clpid": "Zhu-Ronghui"
            },
            {
                "family_name": "del Rio-Salgado",
                "given_name": "Jesus M.",
                "clpid": "del-Rio-Salgado-Jesus-Maria"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "orcid": "0000-0002-3716-7520",
                "clpid": "Garcia-Ojalvo"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In multicellular organisms, gene regulatory circuits generate thousands of molecularly distinct, mitotically heritable states through the property of multistability. Designing synthetic multistable circuits would provide insight into natural cell fate control circuit architectures and would allow engineering of multicellular programs that require interactions among distinct cell types. We created MultiFate, a naturally inspired, synthetic circuit that supports long-term, controllable, and expandable multistability in mammalian cells. MultiFate uses engineered zinc finger transcription factors that transcriptionally self-activate as homodimers and mutually inhibit one another through heterodimerization. Using a model-based design, we engineered MultiFate circuits that generate as many as seven states, each stable for at least 18 days. MultiFate permits controlled state switching and modulation of state stability through external inputs and can be expanded with additional transcription factors. These results provide a foundation for engineering multicellular behaviors in mammalian cells.",
        "doi": "10.1126/science.abg9765",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2022-01-21",
        "series_number": "6578",
        "volume": "375",
        "issue": "6578",
        "pages": "Art. No. eabg9765"
    },
    {
        "id": "authors:wp4n2-mww55",
        "collection": "authors",
        "collection_id": "wp4n2-mww55",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20211008-183538677",
        "type": "article",
        "title": "Single cell biology\u2014a Keystone Symposia report",
        "author": [
            {
                "family_name": "Cable",
                "given_name": "Jennifer",
                "clpid": "Cable-Jennifer"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Domingos",
                "given_name": "Ana I."
            },
            {
                "family_name": "Habib",
                "given_name": "Naomi",
                "orcid": "0000-0002-6049-2487"
            },
            {
                "family_name": "Itzkovitz",
                "given_name": "Shalev",
                "orcid": "0000-0003-0685-2522"
            },
            {
                "family_name": "Hamidzada",
                "given_name": "Homaira"
            },
            {
                "family_name": "Balzer",
                "given_name": "Michael S.",
                "orcid": "0000-0003-0508-1260"
            },
            {
                "family_name": "Yanai",
                "given_name": "Itai",
                "orcid": "0000-0002-8438-2741"
            },
            {
                "family_name": "Liberali",
                "given_name": "Prisca",
                "orcid": "0000-0003-0695-6081"
            },
            {
                "family_name": "Whited",
                "given_name": "Jessica",
                "orcid": "0000-0002-3709-6515"
            },
            {
                "family_name": "Streets",
                "given_name": "Aaron",
                "orcid": "0000-0002-3909-8389"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Stergachis",
                "given_name": "Andrew B.",
                "orcid": "0000-0002-1299-3674"
            },
            {
                "family_name": "Hong",
                "given_name": "Clarice Kit Yee",
                "orcid": "0000-0002-9485-1425"
            },
            {
                "family_name": "Keren",
                "given_name": "Leeat",
                "orcid": "0000-0002-6799-6303"
            },
            {
                "family_name": "Guilliams",
                "given_name": "Martin",
                "orcid": "0000-0003-3525-7570"
            },
            {
                "family_name": "Alon",
                "given_name": "Uri"
            },
            {
                "family_name": "Shalek",
                "given_name": "Alex K.",
                "orcid": "0000-0001-5670-8778"
            },
            {
                "family_name": "Hamel",
                "given_name": "Regan",
                "orcid": "0000-0003-0013-6226"
            },
            {
                "family_name": "Pfau",
                "given_name": "Sarah J.",
                "orcid": "0000-0001-7528-0666"
            },
            {
                "family_name": "Raj",
                "given_name": "Arjun"
            },
            {
                "family_name": "Quake",
                "given_name": "Stephen R.",
                "orcid": "0000-0002-1613-0809"
            },
            {
                "family_name": "Zhang",
                "given_name": "Nancy R."
            },
            {
                "family_name": "Fan",
                "given_name": "Jean",
                "orcid": "0000-0002-0212-5451"
            },
            {
                "family_name": "Trapnell",
                "given_name": "Cole",
                "orcid": "0000-0002-8105-4347"
            },
            {
                "family_name": "Wang",
                "given_name": "Bo"
            },
            {
                "family_name": "Greenwald",
                "given_name": "Noah F.",
                "orcid": "0000-0002-7836-4379"
            },
            {
                "family_name": "Vento-Tormo",
                "given_name": "Roser"
            },
            {
                "family_name": "Santos",
                "given_name": "Silvia D. M.",
                "orcid": "0000-0002-2906-7888"
            },
            {
                "family_name": "Spencer",
                "given_name": "Sabrina L.",
                "orcid": "0000-0002-5798-3007"
            },
            {
                "family_name": "Garcia",
                "given_name": "Hernan G."
            },
            {
                "family_name": "Arekatla",
                "given_name": "Geethika"
            },
            {
                "family_name": "Gaiti",
                "given_name": "Federico",
                "orcid": "0000-0001-5111-8816"
            },
            {
                "family_name": "Arbel-Goren",
                "given_name": "Rinat",
                "orcid": "0000-0002-7253-2036"
            },
            {
                "family_name": "Rulands",
                "given_name": "Steffen",
                "orcid": "0000-0001-6398-1553"
            },
            {
                "family_name": "Junker",
                "given_name": "Jan Philipp",
                "orcid": "0000-0002-2826-8290"
            },
            {
                "family_name": "Klein",
                "given_name": "Allon M.",
                "orcid": "0000-0001-8913-7879"
            },
            {
                "family_name": "Morris",
                "given_name": "Samantha A."
            },
            {
                "family_name": "Murray",
                "given_name": "John I."
            },
            {
                "family_name": "Galloway",
                "given_name": "Kate E.",
                "orcid": "0000-0001-7416-3193"
            },
            {
                "family_name": "Ratz",
                "given_name": "Michael",
                "orcid": "0000-0002-9795-8033"
            },
            {
                "family_name": "Romeike",
                "given_name": "Merrit",
                "orcid": "0000-0002-5890-2213"
            }
        ],
        "abstract": "Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state\u2014transcriptional, epigenetic, and other characteristics\u2014can lead to different cell fates among genetically identical cells, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming. Single cell technologies also pose significant challenges relating to processing and analyzing vast amounts of data collected. To realize the potential of single cell technologies, new computational approaches are needed. On March 17\u201319, 2021, experts in single cell biology met virtually for the Keystone eSymposium \"Single Cell Biology\" to discuss advances both in single cell applications and technologies.",
        "doi": "10.1111/nyas.14692",
        "issn": "0077-8923",
        "publisher": "New York Academy of Sciences",
        "publication": "Annals of the New York Academy of Sciences",
        "publication_date": "2021-12",
        "volume": "1506",
        "pages": "74-97"
    },
    {
        "id": "authors:fq0yw-pnf65",
        "collection": "authors",
        "collection_id": "fq0yw-pnf65",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20210628-191053293",
        "type": "article",
        "title": "Benchmarked approaches for reconstruction of in\u00a0vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees",
        "author": [
            {
                "family_name": "Gong",
                "given_name": "Wuming",
                "clpid": "Gong-Wuming"
            },
            {
                "family_name": "Granados",
                "given_name": "Alejandro A.",
                "orcid": "0000-0002-6275-9800",
                "clpid": "Granados-Alejandro-A"
            },
            {
                "family_name": "Hu",
                "given_name": "Jingyuan"
            },
            {
                "family_name": "Jones",
                "given_name": "Matthew G."
            },
            {
                "family_name": "Raz",
                "given_name": "Ofir"
            },
            {
                "family_name": "Salvador-Mart\u00ednez",
                "given_name": "Irepan"
            },
            {
                "family_name": "Zhang",
                "given_name": "Hanrui"
            },
            {
                "family_name": "Chow",
                "given_name": "Ke-Huan K.",
                "orcid": "0000-0002-7317-2669",
                "clpid": "Chow-Ke-Huan-K"
            },
            {
                "family_name": "Kwak",
                "given_name": "Il-Youp"
            },
            {
                "family_name": "Retkute",
                "given_name": "Renata"
            },
            {
                "family_name": "Prusokas",
                "given_name": "Alidivinas"
            },
            {
                "family_name": "Prusokas",
                "given_name": "Augustinas"
            },
            {
                "family_name": "Khodaverdian",
                "given_name": "Alex"
            },
            {
                "family_name": "Zhang",
                "given_name": "Richard"
            },
            {
                "family_name": "Rao",
                "given_name": "Suhas"
            },
            {
                "family_name": "Wang",
                "given_name": "Robert"
            },
            {
                "family_name": "Rennert",
                "given_name": "Phil"
            },
            {
                "family_name": "Saipradeep",
                "given_name": "Vangala G."
            },
            {
                "family_name": "Sivadasan",
                "given_name": "Naveen"
            },
            {
                "family_name": "Rao",
                "given_name": "Aditya"
            },
            {
                "family_name": "Joseph",
                "given_name": "Thomas"
            },
            {
                "family_name": "Srinivasan",
                "given_name": "Rajgopal"
            },
            {
                "family_name": "Peng",
                "given_name": "Jiajie"
            },
            {
                "family_name": "Han",
                "given_name": "Lu"
            },
            {
                "family_name": "Shang",
                "given_name": "Xuequn"
            },
            {
                "family_name": "Garry",
                "given_name": "Daniel J."
            },
            {
                "family_name": "Yu",
                "given_name": "Thomas"
            },
            {
                "family_name": "Chung",
                "given_name": "Verena"
            },
            {
                "family_name": "Mason",
                "given_name": "Michael"
            },
            {
                "family_name": "Liu",
                "given_name": "Zhandong"
            },
            {
                "family_name": "Guan",
                "given_name": "Yuanfang"
            },
            {
                "family_name": "Yosef",
                "given_name": "Nir"
            },
            {
                "family_name": "Shendure",
                "given_name": "Jay"
            },
            {
                "family_name": "Telford",
                "given_name": "Maximilian J."
            },
            {
                "family_name": "Shapiro",
                "given_name": "Ehud"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Meyer",
                "given_name": "Pablo"
            }
        ],
        "abstract": "The recent advent of CRISPR and other molecular tools enabled the reconstruction of cell lineages based on induced DNA mutations and promises to solve the ones of more complex organisms. To date, no lineage reconstruction algorithms have been rigorously examined for their performance and robustness across dataset types and number of cells. To benchmark such methods, we decided to organize a DREAM challenge using in vitro experimental intMEMOIR recordings and in silico data for a C. elegans lineage tree of about 1,000 cells and a Mus musculus tree of 10,000 cells. Some of the 22 approaches submitted had excellent performance, but structural features of the trees prevented optimal reconstructions. Using smaller sub-trees as training sets proved to be a good approach for tuning algorithms to reconstruct larger trees. The simulation and reconstruction methods here generated delineate a potential way forward for solving larger cell lineage trees such as in mouse.",
        "doi": "10.1016/j.cels.2021.05.008",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2021-08-18",
        "series_number": "8",
        "volume": "12",
        "issue": "8",
        "pages": "810-826"
    },
    {
        "id": "authors:jg2yt-f4n17",
        "collection": "authors",
        "collection_id": "jg2yt-f4n17",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20210413-072526147",
        "type": "article",
        "title": "Programmable protein circuit design",
        "author": [
            {
                "family_name": "Chen",
                "given_name": "Zibo",
                "orcid": "0000-0003-2990-2895",
                "clpid": "Chen-Zibo"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A fundamental challenge in synthetic biology is to create molecular circuits that can program complex cellular functions. Because proteins can bind, cleave, and chemically modify one another and interface directly and rapidly with endogenous pathways, they could extend the capabilities of synthetic circuits beyond what is possible with gene regulation alone. However, the very diversity that makes proteins so powerful also complicates efforts to harness them as well-controlled synthetic circuit components. Recent work has begun to address this challenge, focusing on principles such as orthogonality and composability that permit construction of diverse circuit-level functions from a limited set of engineered protein components. These approaches are now enabling the engineering of circuits that can sense, transmit, and process information; dynamically control cellular behaviors; and enable new therapeutic strategies, establishing a powerful paradigm for programming biology.",
        "doi": "10.1016/j.cell.2021.03.007",
        "pmcid": "PMC8087657",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2021-04-29",
        "series_number": "9",
        "volume": "184",
        "issue": "9",
        "pages": "2284-2301"
    },
    {
        "id": "authors:zjfrp-a9k69",
        "collection": "authors",
        "collection_id": "zjfrp-a9k69",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200225-135944187",
        "type": "article",
        "title": "Imaging cell lineage with a synthetic digital recording system",
        "author": [
            {
                "family_name": "Chow",
                "given_name": "Ke-Huan K.",
                "orcid": "0000-0002-7317-2669",
                "clpid": "Chow-Ke-Huan-K"
            },
            {
                "family_name": "Budde",
                "given_name": "Mark W.",
                "orcid": "0000-0002-4359-1424",
                "clpid": "Budde-Mark-W"
            },
            {
                "family_name": "Granados",
                "given_name": "Alejandro A.",
                "orcid": "0000-0002-6275-9800",
                "clpid": "Granados-Alejandro-A"
            },
            {
                "family_name": "Cabrera",
                "given_name": "Maria",
                "orcid": "0000-0001-7026-1132",
                "clpid": "Cabrera-Maria"
            },
            {
                "family_name": "Yoon",
                "given_name": "Shinae",
                "clpid": "Yoon-Shinae"
            },
            {
                "family_name": "Cho",
                "given_name": "Soomin",
                "orcid": "0000-0003-2971-9337",
                "clpid": "Cho-Soomin"
            },
            {
                "family_name": "Huang",
                "given_name": "Ting-hao",
                "orcid": "0000-0002-2546-3525",
                "clpid": "Huang-Ting-Hao"
            },
            {
                "family_name": "Koulena",
                "given_name": "Noushin",
                "orcid": "0000-0002-9419-5712",
                "clpid": "Koulena-Noushin"
            },
            {
                "family_name": "Frieda",
                "given_name": "Kirsten L.",
                "clpid": "Frieda-Kirsten-L"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Lois",
                "given_name": "Carlos",
                "orcid": "0000-0002-7305-2317",
                "clpid": "Lois-C"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Cell lineage plays a pivotal role in cell fate determination. Chow et al. demonstrate the use of an integrase-based synthetic barcode system called intMEMOIR, which uses the serine integrase Bxb1 to perform irreversible nucleotide edits. Inducible editing either deletes or inverts its target region, thus encoding information in three-state memory elements, or trits, and avoiding undesired recombination events. Using intMEMOIR combined with single-molecule fluorescence in situ hybridization, the authors were able to identify clonal structures as well as gene expression patterns in the fly brain, enabling both clonal analysis and expression profiling with intact spatial information. The ability to visualize cell lineage relationships directly within their native tissue context provides insights into development and disease.",
        "doi": "10.1126/science.abb3099",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2021-04-09",
        "series_number": "6538",
        "volume": "372",
        "issue": "6538",
        "pages": "Art. No. eabb3099"
    },
    {
        "id": "authors:x8ffe-pb390",
        "collection": "authors",
        "collection_id": "x8ffe-pb390",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20190920-163128957",
        "type": "article",
        "title": "In situ readout of DNA barcodes and single base edits facilitated by in vitro transcription",
        "author": [
            {
                "family_name": "Askary",
                "given_name": "Amjad",
                "orcid": "0000-0002-2913-8498",
                "clpid": "Askary-Amjad"
            },
            {
                "family_name": "S\u00e1nchez-Guardado",
                "given_name": "Luis",
                "orcid": "0000-0001-5598-8608",
                "clpid": "S\u00e1nchez-Guardado-Luis"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Chadly",
                "given_name": "Duncan M.",
                "orcid": "0000-0002-8417-1522",
                "clpid": "Chadly-Duncan-M"
            },
            {
                "family_name": "Budde",
                "given_name": "Mark W.",
                "orcid": "0000-0002-4359-1424",
                "clpid": "Budde-Mark-W"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Lois",
                "given_name": "Carlos",
                "orcid": "0000-0002-7305-2317",
                "clpid": "Lois-C"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Molecular barcoding technologies that uniquely identify single cells are hampered by limitations in barcode measurement. Readout by sequencing does not preserve the spatial organization of cells in tissues, whereas imaging methods preserve spatial structure but are less sensitive to barcode sequence. Here we introduce a system for image-based readout of short (20-base-pair) DNA barcodes. In this system, called Zombie, phage RNA polymerases transcribe engineered barcodes in fixed cells. The resulting RNA is subsequently detected by fluorescent in situ hybridization. Using competing match and mismatch probes, Zombie can accurately discriminate single-nucleotide differences in the barcodes. This method allows in situ readout of dense combinatorial barcode libraries and single-base mutations produced by CRISPR base editors without requiring barcode expression in live cells. Zombie functions across diverse contexts, including cell culture, chick embryos and adult mouse brain tissue. The ability to sensitively read out compact and diverse DNA barcodes by imaging will facilitate a broad range of barcoding and genomic recording strategies.",
        "doi": "10.1038/s41587-019-0299-4",
        "pmcid": "PMC6954335",
        "issn": "1087-0156",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Biotechnology",
        "publication_date": "2020-01",
        "series_number": "1",
        "volume": "38",
        "issue": "1",
        "pages": "66-75"
    },
    {
        "id": "authors:xj81z-bfr11",
        "collection": "authors",
        "collection_id": "xj81z-bfr11",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20190718-110919202",
        "type": "article",
        "title": "Communication codes in developmental signaling pathways",
        "author": [
            {
                "family_name": "Li",
                "given_name": "Pulin",
                "clpid": "Li-Pulin"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A handful of core intercellular signaling pathways play pivotal roles in a broad variety of developmental processes. It has remained puzzling how so few pathways can provide the precision and specificity of cell-cell communication required for multicellular development. Solving this requires us to quantitatively understand how developmentally relevant signaling information is actively sensed, transformed and spatially distributed by signaling pathways. Recently, single cell analysis and cell-based reconstitution, among other approaches, have begun to reveal the 'communication codes' through which information is represented in the identities, concentrations, combinations and dynamics of extracellular ligands. They have also revealed how signaling pathways decipher these features and control the spatial distribution of signaling in multicellular contexts. Here, we review recent work reporting the discovery and analysis of communication codes and discuss their implications for diverse developmental processes.",
        "doi": "10.1242/dev.170977",
        "pmcid": "PMC6602343",
        "issn": "0950-1991",
        "publisher": "Company of Biologists",
        "publication": "Development",
        "publication_date": "2019-06",
        "series_number": "12",
        "volume": "146",
        "issue": "12",
        "pages": "Art. No. dev170977"
    },
    {
        "id": "authors:6gyk0-6zr59",
        "collection": "authors",
        "collection_id": "6gyk0-6zr59",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181107-102333115",
        "type": "article",
        "title": "Constitutive splicing and economies of scale in gene expression",
        "author": [
            {
                "family_name": "Ding",
                "given_name": "Fangyuan",
                "orcid": "0000-0003-0118-5441",
                "clpid": "Ding-Fangyuan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In eukaryotic cells, many introns are constitutively, rather than alternatively, spliced and therefore do not contribute to isoform diversification. It has remained unclear what functional roles such constitutive splicing provides. To explore this issue, we asked how splicing affects the efficiency with which individual pre-messenger RNA transcripts are productively processed across different gene expression levels. We developed a quantitative single-molecule fluorescence in situ hybridization-based method to quantify splicing efficiency at transcription active sites in single cells. We found that both natural and synthetic genes in mouse and human cells exhibited an unexpected 'economy of scale' behavior in which splicing efficiency increased with transcription rate. Correlations between splicing efficiency and spatial proximity to nuclear speckles could explain this counterintuitive behavior. Functionally, economy of scale splicing represents a non-linear filter that amplifies the expression of genes when they are more strongly transcribed. These results indicate that constitutive splicing plays an active functional role in modulating gene expression.",
        "doi": "10.1038/s41594-019-0226-x",
        "pmcid": "PMC6663491",
        "issn": "1545-9985",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Structural & Molecular Biology",
        "publication_date": "2019-06",
        "series_number": "6",
        "volume": "26",
        "issue": "6",
        "pages": "424-432"
    },
    {
        "id": "authors:t7nsk-pqz47",
        "collection": "authors",
        "collection_id": "t7nsk-pqz47",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181030-150639915",
        "type": "article",
        "title": "Cis-activation in the Notch signaling pathway",
        "author": [
            {
                "family_name": "Nandagopal",
                "given_name": "Nagarajan",
                "clpid": "Nandagopal-N"
            },
            {
                "family_name": "Santat",
                "given_name": "Leah A.",
                "clpid": "Santat-L-A"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The Notch signaling pathway consists of transmembrane ligands and receptors that can interact both within the same cell (cis) and across cell boundaries (trans). Previous work has shown that cis-interactions act to inhibit productive signaling. Here, by analyzing Notch activation in single cells while controlling cell density and ligand expression level, we show that cis-ligands can also activate Notch receptors. This cis-activation process resembles trans-activation in its ligand level dependence, susceptibility to cis-inhibition, and sensitivity to Fringe modification. Cis-activation occurred for multiple ligand-receptor pairs, in diverse cell types, and affected survival in neural stem cells. Finally, mathematical modeling shows how cis-activation could potentially expand the capabilities of Notch signaling, for example enabling 'negative' (repressive) signaling. These results establish cis-activation as an additional mode of signaling in the Notch pathway, and should contribute to a more complete understanding of how Notch signaling functions in developmental, physiological, and biomedical contexts.",
        "doi": "10.7554/eLife.37880",
        "pmcid": "PMC6345567",
        "issn": "2050-084X",
        "publisher": "eLife Sciences Publications",
        "publication": "eLife",
        "publication_date": "2019-01-10",
        "volume": "8",
        "pages": "Art. No. e37880"
    },
    {
        "id": "authors:71hzb-qgg05",
        "collection": "authors",
        "collection_id": "71hzb-qgg05",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181030-143317624",
        "type": "article",
        "title": "A stochastic epigenetic switch controls the dynamics of T-cell lineage commitment",
        "author": [
            {
                "family_name": "Ng",
                "given_name": "Kenneth K. N.",
                "clpid": "Ng-Kenneth-K-N"
            },
            {
                "family_name": "Yui",
                "given_name": "Mary A.",
                "orcid": "0000-0002-3136-2181",
                "clpid": "Yui-Mary-A"
            },
            {
                "family_name": "Mehta",
                "given_name": "Arnav",
                "clpid": "Mehta-Arnav"
            },
            {
                "family_name": "Siu",
                "given_name": "Sharmayne",
                "clpid": "Siu-Sharmayne"
            },
            {
                "family_name": "Irwin",
                "given_name": "Blythe",
                "clpid": "Irwin-B"
            },
            {
                "family_name": "Pease",
                "given_name": "Shirley",
                "clpid": "Pease-Shirley-S"
            },
            {
                "family_name": "Hirose",
                "given_name": "Satoshi",
                "clpid": "Hirose-Satoshi"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Rothenberg",
                "given_name": "Ellen V.",
                "orcid": "0000-0002-3901-347X",
                "clpid": "Rothenberg-E-V"
            },
            {
                "family_name": "Kueh",
                "given_name": "Hao Yuan",
                "orcid": "0000-0001-6272-6673",
                "clpid": "Kueh-Hao-Yuan"
            }
        ],
        "abstract": "Cell fate decisions occur through the switch-like, irreversible activation of fate-specifying genes. These activation events are often assumed to be tightly coupled to changes in upstream transcription factors, but could also be constrained by cis-epigenetic mechanisms at individual gene loci. Here, we studied the activation of Bcl11b, which controls T-cell fate commitment. To disentangle cis and trans effects, we generated mice where two Bcl11b copies are tagged with distinguishable fluorescent proteins. Quantitative live microscopy of progenitors from these mice revealed that Bcl11b turned on after a stochastic delay averaging multiple days, which varied not only between cells but also between Bcl11b alleles within the same cell. Genetic perturbations, together with mathematical modeling, showed that a distal enhancer controls the rate of epigenetic activation, while a parallel Notch-dependent trans-acting step stimulates expression from activated loci. These results show that developmental fate transitions can be controlled by stochastic cis-acting events on individual loci.",
        "doi": "10.7554/eLife.37851",
        "pmcid": "PMC6245732",
        "issn": "2050-084X",
        "publisher": "eLife Sciences Publications",
        "publication": "eLife",
        "publication_date": "2018-11-20",
        "volume": "7",
        "pages": "Art. No. e37851"
    },
    {
        "id": "authors:sacbt-zcq12",
        "collection": "authors",
        "collection_id": "sacbt-zcq12",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181010-111625116",
        "type": "article",
        "title": "Self-Amplifying Pulsatile Protein Dynamics without Positive Feedback",
        "author": [
            {
                "family_name": "Martinez-Corral",
                "given_name": "Rosa",
                "clpid": "Martinez-Corral-R"
            },
            {
                "family_name": "Raimundez",
                "given_name": "Elba",
                "clpid": "Raimundez-E"
            },
            {
                "family_name": "Lin",
                "given_name": "Yihan",
                "clpid": "Lin-Yihan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            }
        ],
        "abstract": "Many proteins exhibit dynamic activation patterns in the form of irregular pulses. Such behavior is typically attributed to a combination of positive and negative feedback loops in the underlying regulatory network. However, the presence of positive feedbacks is difficult to demonstrate unequivocally, raising the question of whether stochastic pulses can arise from negative feedback only. Here, we use the protein kinase A (PKA) system, a key regulator of the yeast pulsatile transcription factor Msn2, as a case example to show that irregular pulses of protein activity can arise from a negative feedback loop alone. Simplification to two variables reveals that a combination of zero-order ultrasensitivity, timescale separation between the activator and the repressor, and an effective delay in the feedback are sufficient to amplify a perturbation into a pulse. The same circuit topology can account for both activation and inactivation pulses, pointing toward a general mechanism of stochastic pulse generation.",
        "doi": "10.1016/j.cels.2018.08.012",
        "issn": "2405-4712",
        "publisher": "Elsevier",
        "publication": "Cell Systems",
        "publication_date": "2018-10-24",
        "series_number": "4",
        "volume": "7",
        "issue": "4",
        "pages": "453-462"
    },
    {
        "id": "authors:m9nh0-t8p73",
        "collection": "authors",
        "collection_id": "m9nh0-t8p73",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181024-102930532",
        "type": "article",
        "title": "Novel NOTCH-Binding Protein Directs Self-Renewal of Tumor-Initiating Stem-like Cells and HCC Development through Cell Fate Reprogramming",
        "author": [
            {
                "family_name": "Siddique",
                "given_name": "Hifzur",
                "clpid": "Siddique-H"
            },
            {
                "family_name": "Zheng",
                "given_name": "Mengmei",
                "clpid": "Zheng-Mengmei"
            },
            {
                "family_name": "Kou",
                "given_name": "Yi",
                "clpid": "Kou-Yi"
            },
            {
                "family_name": "Chen",
                "given_name": "Chia-Lin Chen",
                "clpid": "Chen-Chia-Lin-Chen"
            },
            {
                "family_name": "Kumar",
                "given_name": "Dinesh Babu Uthaya",
                "clpid": "Kumar-D-B-U"
            },
            {
                "family_name": "Winer",
                "given_name": "Peleg",
                "clpid": "Winer-P"
            },
            {
                "family_name": "Rokan",
                "given_name": "Ahmed",
                "clpid": "Rokan-A"
            },
            {
                "family_name": "Punj",
                "given_name": "Vasu",
                "clpid": "Punj-V"
            },
            {
                "family_name": "Sher",
                "given_name": "Linda S.",
                "clpid": "Sher-L-S"
            },
            {
                "family_name": "Tahara",
                "given_name": "Stanley M.",
                "clpid": "Tahara-S-M"
            },
            {
                "family_name": "Ray",
                "given_name": "Ratna",
                "clpid": "Ray-R"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Liang",
                "given_name": "Chengyu",
                "clpid": "Liang-Chengyu"
            },
            {
                "family_name": "Chen",
                "given_name": "Lin",
                "clpid": "Chen-Lin"
            },
            {
                "family_name": "Tsukamoto",
                "given_name": "Hidekazu",
                "clpid": "Tsukamoto-Hidekazu"
            },
            {
                "family_name": "Machida",
                "given_name": "Keigo",
                "clpid": "Machida-Keigo"
            }
        ],
        "abstract": "Liver tumor-initiating stem-like cells (TICs)\nwhich are defective in asymmetric cell division and responsible for liver tumor recurrence (PNAS 106, 1548-1553; Cell Metab 23, 206-219), have been isolated from 4 different animal models of HCC and patient HCC (J Clin Invest 2013;123:2832-49). We identified a novel NUMB binding protein, TBC1D15 in TICs, which is upregulated and destabilizes p53 via NUMB phosphorylation (p-NUMB) (Hepatology 62, 1466-1479). However, TBC1D15 still transforms p53-deficient hepatoblasts, suggesting other undisclosed mechanisms facilitated by this oncoprotein.",
        "doi": "10.1002/hep.30257",
        "issn": "0270-9139",
        "publisher": "Wiley",
        "publication": "Hepatology",
        "publication_date": "2018-10",
        "series_number": "S1",
        "volume": "68",
        "issue": "S1",
        "pages": "Art. No. 1365"
    },
    {
        "id": "authors:keqy2-b6k25",
        "collection": "authors",
        "collection_id": "keqy2-b6k25",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20180920-125150716",
        "type": "article",
        "title": "Programmable protein circuits in living cells",
        "author": [
            {
                "family_name": "Gao",
                "given_name": "Xiaojing J.",
                "clpid": "Gao-Xiaojing-J"
            },
            {
                "family_name": "Chong",
                "given_name": "Lucy S.",
                "clpid": "Chong-Lucy-S"
            },
            {
                "family_name": "Kim",
                "given_name": "Matthew S.",
                "clpid": "Kim-Matthew-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Synthetic protein-level circuits could enable engineering of powerful new cellular behaviors. Rational protein circuit design would be facilitated by a composable protein-protein regulation system in which individual protein components can regulate one another to create a variety of different circuit architectures. In this study, we show that engineered viral proteases can function as composable protein components, which can together implement a broad variety of circuit-level functions in mammalian cells. In this system, termed CHOMP (circuits of hacked orthogonal modular proteases), input proteases dock with and cleave target proteases to inhibit their function. These components can be connected to generate regulatory cascades, binary logic gates, and dynamic analog signal-processing functions. To demonstrate the utility of this system, we rationally designed a circuit that induces cell death in response to upstream activators of the Ras oncogene. Because CHOMP circuits can perform complex functions yet be encoded as single transcripts and delivered without genomic integration, they offer a scalable platform to facilitate protein circuit engineering for biotechnological applications.",
        "doi": "10.1126/science.aat5062",
        "pmcid": "PMC7176481",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2018-09-21",
        "series_number": "6408",
        "volume": "361",
        "issue": "6408",
        "pages": "1252-1258"
    },
    {
        "id": "authors:ctvjd-n4009",
        "collection": "authors",
        "collection_id": "ctvjd-n4009",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181009-132205192",
        "type": "article",
        "title": "Cell fate and metabolic reprogramming of tumor-initiating stem-like cells",
        "author": [
            {
                "family_name": "Siddique",
                "given_name": "H. R.",
                "clpid": "Siddique-H-R"
            },
            {
                "family_name": "Zheng",
                "given_name": "M.",
                "clpid": "Zheng-M"
            },
            {
                "family_name": "Kou",
                "given_name": "Y.",
                "clpid": "Kou-Y"
            },
            {
                "family_name": "Chen",
                "given_name": "C.-L.",
                "clpid": "Chen-C-L"
            },
            {
                "family_name": "Uthaya Kumar",
                "given_name": "D. B.",
                "clpid": "Uthaya-Kumar-D-B"
            },
            {
                "family_name": "Punj",
                "given_name": "V.",
                "clpid": "Punj-V"
            },
            {
                "family_name": "Winer",
                "given_name": "P.",
                "clpid": "Winer-P"
            },
            {
                "family_name": "Pita",
                "given_name": "A.",
                "clpid": "Pita-A"
            },
            {
                "family_name": "Sher",
                "given_name": "L.",
                "clpid": "Sher-L"
            },
            {
                "family_name": "Tahara",
                "given_name": "S. M.",
                "clpid": "Tahara-S-M"
            },
            {
                "family_name": "Giacca",
                "given_name": "M.",
                "clpid": "Giacca-M"
            },
            {
                "family_name": "Ray",
                "given_name": "R. B.",
                "clpid": "Ray-R-B"
            },
            {
                "family_name": "Elowitz",
                "given_name": "M.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Liang",
                "given_name": "C.",
                "clpid": "Liang-C"
            },
            {
                "family_name": "Chen",
                "given_name": "L.",
                "clpid": "Chen-L"
            },
            {
                "family_name": "Tsukamoto",
                "given_name": "H.",
                "clpid": "Tsukamoto-H"
            },
            {
                "family_name": "Machida",
                "given_name": "K.",
                "clpid": "Machida-K"
            }
        ],
        "abstract": "Background &amp; Aims: Tumor-initiating stem-like cells (TICs) are defective in maintaining asymmetric cell division and responsible for tumor recurrence. Stem cell markers such as Nanog have been implicated in various cancer, but whether they are functionally contributing to cancer pathogenesis has remained unclear. Novel NOTCH/NUMB-interacting protein, TBC1D15, is overexpressed and contributes to p53 degradation in TICs. Aims are to identify NANOG- or TBC1D15-mediated oncogenic mechanisms and to test tumorigenic roles. \n\nMethods: We determined novel targets of NANOG in tumor-initiating cells (TICs) from patient and mouse-models of hepatocellular carcinoma (HCC) using genome-wide NANOG-binding site analysis (ChIP-seq) and how Nanog is regulated at the transcriptional to promote oncogenesis and self-renewal in TICs. TBC1D15 interacting proteins were searched by large-scale immunoaffinity purification and LC-MS analysis. We examined HCC development in alcohol Western diet (AWD)-fed HCV NS5A Tg mice with hepatocyte-specific TBC1D15 deficiency or hepatocyte-specific expression of non-phosphorylatable NUMB mutations (non-p-NUMB). \n\nResults: Silencing NANOG inhibits tumor development in HCC mouse-models and genesis of TICs. NANOG binds genes of oxidative phosphorylation and b-oxidation in mitochondria. Silencing\nNANOG promotes oxidative phosphorylation and b-oxidation, indicating that NANOG is a suppressor of mitochondria-mediated energy production. We identified NuMA1, RANGAP1 and NOTCH1-4 as TBC1D15-interacting proteins. TBC1D15-NuMA1 association impaired NuMA1-LAN interaction which is essential for an asymmetric division machinery, thereby promoting TIC self-renewal. TBC1D15-NOTCH1 interaction activated and stabilized NOTCH1 and NOTCH1 Intracellular Domain (N1ICD) which in turn upregulated transcription of Nanog essential for TICs. \n\nConclusions: These results suggest that NANOG-mediated metabolic reprogramming through suppression of mitochondria function in both experimental and clinical HCC downstream of TLR4/\nNANOG generates TICs and drives liver tumorigenesis. TBC1D15 and p-NUMB are required for liver tumor development in vivo.",
        "doi": "10.1111/acer.13834",
        "issn": "0145-6008",
        "publisher": "Wiley",
        "publication": "Alcoholism: Clinical and Experimental Research",
        "publication_date": "2018-08",
        "series_number": "S2",
        "volume": "42",
        "issue": "S2",
        "pages": "Art. No. 427"
    },
    {
        "id": "authors:4jkqx-t4e23",
        "collection": "authors",
        "collection_id": "4jkqx-t4e23",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20180604-074815229",
        "type": "article",
        "title": "Metabolic interactions between dynamic bacterial subpopulations",
        "author": [
            {
                "family_name": "Rosenthal",
                "given_name": "Adam Z.",
                "orcid": "0000-0002-6936-3665",
                "clpid": "Rosenthal-Adam-Z"
            },
            {
                "family_name": "Qi",
                "given_name": "Yutao",
                "clpid": "Qi-Yutao"
            },
            {
                "family_name": "Hormoz",
                "given_name": "Sahand",
                "clpid": "Hormoz-Sahand"
            },
            {
                "family_name": "Park",
                "given_name": "Jin",
                "clpid": "Park-Jin"
            },
            {
                "family_name": "Hsin-Jung Li",
                "given_name": "Sophia",
                "orcid": "0000-0001-8972-6921",
                "clpid": "Hsin-Jung Li-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Individual microbial species are known to occupy distinct metabolic niches within multi-species communities. However, it has remained largely unclear whether metabolic specialization can similarly occur within a clonal bacterial population. More specifically, it is not clear what functions such specialization could provide and how specialization could be coordinated dynamically. Here, we show that exponentially growing Bacillus subtilis cultures divide into distinct interacting metabolic subpopulations, including one population that produces acetate, and another population that differentially expresses metabolic genes for the production of acetoin, a pH-neutral storage molecule. These subpopulations exhibit distinct growth rates and dynamic interconversion between states. Furthermore, acetate concentration influences the relative sizes of the different subpopulations. These results show that clonal populations can use metabolic specialization to control the environment through a process of dynamic, environmentally-sensitive state-switching.",
        "doi": "10.7554/eLife.33099",
        "pmcid": "PMC6025961",
        "issn": "2050-084X",
        "publisher": "eLife Sciences Publications",
        "publication": "eLife",
        "publication_date": "2018-05-29",
        "volume": "7",
        "pages": "Art. No. e33099"
    },
    {
        "id": "authors:97cxn-p6c90",
        "collection": "authors",
        "collection_id": "97cxn-p6c90",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20171027-105758623",
        "type": "article",
        "title": "Morphogen gradient reconstitution reveals Hedgehog pathway design principles",
        "author": [
            {
                "family_name": "Li",
                "given_name": "Pulin",
                "clpid": "Li-Pulin"
            },
            {
                "family_name": "Markson",
                "given_name": "Joseph S.",
                "clpid": "Markson-Joseph-S"
            },
            {
                "family_name": "Wang",
                "given_name": "Sheng",
                "clpid": "Wang-Sheng"
            },
            {
                "family_name": "Chen",
                "given_name": "Siheng",
                "clpid": "Chen-Siheng"
            },
            {
                "family_name": "Vachharajani",
                "given_name": "Vipul",
                "clpid": "Vachharajani-Vipul"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In developing tissues, cells estimate their spatial position by sensing graded concentrations of diffusible signaling proteins called morphogens. Morphogen-sensing pathways exhibit diverse molecular architectures, whose roles in controlling patterning dynamics and precision have been unclear. In this work, combining cell-based in vitro gradient reconstitution, genetic rewiring, and mathematical modeling, we systematically analyzed the distinctive architectural features of the Sonic Hedgehog pathway. We found that the combination of double-negative regulatory logic and negative feedback through the PTCH receptor accelerates gradient formation and improves robustness to variation in the morphogen production rate compared with alternative designs. The ability to isolate morphogen patterning from concurrent developmental processes and to compare the patterning behaviors of alternative, rewired pathway architectures offers a powerful way to understand and engineer multicellular patterning.",
        "doi": "10.1126/science.aao0645",
        "pmcid": "PMC6516753",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2018-05-04",
        "series_number": "6388",
        "volume": "360",
        "issue": "6388",
        "pages": "543-548"
    },
    {
        "id": "authors:2pkmc-vvm92",
        "collection": "authors",
        "collection_id": "2pkmc-vvm92",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20180214-131202804",
        "type": "article",
        "title": "Molecular Time Sharing through Dynamic Pulsing in Single Cells",
        "author": [
            {
                "family_name": "Park",
                "given_name": "Jin",
                "clpid": "Park-Jin"
            },
            {
                "family_name": "Dies",
                "given_name": "Marta",
                "clpid": "Dies-Marta"
            },
            {
                "family_name": "Lin",
                "given_name": "Yihan",
                "clpid": "Lin-Yihan"
            },
            {
                "family_name": "Hormoz",
                "given_name": "Sahand",
                "clpid": "Hormoz-Sahand"
            },
            {
                "family_name": "Smith-Unna",
                "given_name": "Stephanie E.",
                "clpid": "Smith-Unna-Stephanie-E"
            },
            {
                "family_name": "Quinodoz",
                "given_name": "Sofia A.",
                "orcid": "0000-0003-1862-5204",
                "clpid": "Quinodoz-Sofia-A"
            },
            {
                "family_name": "Hern\u00e1ndez-Jim\u00e9nez",
                "given_name": "Mar\u00eda Jes\u00fas",
                "clpid": "Hern\u00e1ndez-Jim\u00e9nez-Mar\u00eda-Jes\u00fas"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-Jordi"
            },
            {
                "family_name": "Locke",
                "given_name": "James C. W.",
                "clpid": "Locke-James-C-W"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In cells, specific regulators often compete for limited amounts of a core enzymatic resource. It is typically assumed that competition leads to partitioning of core enzyme molecules among regulators at constant levels. Alternatively, however, different regulatory species could time share, or take turns utilizing, the core resource. Using quantitative time-lapse microscopy, we analyzed sigma factor activity dynamics, and their competition for RNA polymerase, in individual Bacillus subtilis cells under energy stress. Multiple alternative sigma factors were activated in \u223c1-hr pulses in stochastic and repetitive fashion. Pairwise analysis revealed that two sigma factors rarely pulse simultaneously and that some pairs are anti-correlated, indicating that RNAP utilization alternates among different sigma factors. Mathematical modeling revealed how stochastic time-sharing dynamics can emerge from pulse-generating sigma factor regulatory circuits actively competing for RNAP. Time sharing provides a mechanism for cells to dynamically control the distribution of cell states within a population. Since core molecular components are limiting in many other systems, time sharing may represent a general mode of regulation.",
        "doi": "10.1016/j.cels.2018.01.011",
        "pmcid": "PMC6070344",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2018-02-28",
        "series_number": "2",
        "volume": "6",
        "issue": "2",
        "pages": "216-229"
    },
    {
        "id": "authors:rt20n-mff72",
        "collection": "authors",
        "collection_id": "rt20n-mff72",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20180201-152120268",
        "type": "article",
        "title": "Dynamic Ligand Discrimination in the Notch Signaling Pathway",
        "author": [
            {
                "family_name": "Nandagopal",
                "given_name": "Nagarajan",
                "clpid": "Nandagopal-Nagarajan"
            },
            {
                "family_name": "Santat",
                "given_name": "Leah A.",
                "clpid": "Santat-Leah-A"
            },
            {
                "family_name": "LeBon",
                "given_name": "Lauren",
                "clpid": "LeBon-Lauren"
            },
            {
                "family_name": "Sprinzak",
                "given_name": "David",
                "clpid": "Sprinzak-David"
            },
            {
                "family_name": "Bronner",
                "given_name": "Marianne E.",
                "orcid": "0000-0003-4274-1862",
                "clpid": "Bronner-M-E"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The Notch signaling pathway comprises multiple ligands that are used in distinct biological contexts. In principle, different ligands could activate distinct target programs in signal-receiving cells, but it is unclear how such ligand discrimination could occur. Here, we show that cells use dynamics to discriminate signaling by the ligands Dll1 and Dll4 through the Notch1 receptor. Quantitative single-cell imaging revealed that Dll1 activates Notch1 in discrete, frequency-modulated pulses that specifically upregulate the Notch target gene Hes1. By contrast, Dll4 activates Notch1 in a sustained, amplitude-modulated manner that predominantly upregulates Hey1 and HeyL. Ectopic expression of Dll1 or Dll4 in chick neural crest produced opposite effects on myogenic differentiation, showing that ligand discrimination can occur in vivo. Finally, analysis of chimeric ligands suggests that ligand-receptor clustering underlies dynamic encoding of ligand identity. The ability of the pathway to utilize ligands as distinct communication channels has implications for diverse Notch-dependent processes.",
        "doi": "10.1016/j.cell.2018.01.002",
        "pmcid": "PMC6414217",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2018-02-08",
        "series_number": "4",
        "volume": "172",
        "issue": "4",
        "pages": "869-880"
    },
    {
        "id": "authors:34eds-bhx22",
        "collection": "authors",
        "collection_id": "34eds-bhx22",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20171114-145510367",
        "type": "article",
        "title": "Advancing towards a global mammalian gene regulation model through single-cell analysis and synthetic biology",
        "author": [
            {
                "family_name": "Tycko",
                "given_name": "Josh",
                "clpid": "Tycko-J"
            },
            {
                "family_name": "Van",
                "given_name": "Mike V.",
                "clpid": "Van-M-V"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Bintu",
                "given_name": "Lacramioara",
                "clpid": "Bintu-L"
            }
        ],
        "abstract": "Engineering complex genetic functions in mammalian cells will require predictive models of gene regulation. Since gene expression is stochastic, leading to cell-to-cell heterogeneity, these models depend on single-cell measurements. Here, we summarize recent microscopy and sequencing-based single-cell measurements of transcription and its chromatin-based regulation. Then, we describe synthetic biology methods for manipulating chromatin, and highlight how they could be coupled to single-cell measurements. We discuss theoretical models that connect some chromatin inputs to transcriptional outputs. Finally, we point out the connections between the models that would allow us to integrate them into one global input-output gene regulatory function.",
        "doi": "10.1016/j.cobme.2017.10.011",
        "issn": "2468-4511",
        "publisher": "Elsevier",
        "publication": "Current Opinion in Biomedical Engineering",
        "publication_date": "2017-12",
        "volume": "4",
        "pages": "174-193"
    },
    {
        "id": "authors:m8axx-x2s82",
        "collection": "authors",
        "collection_id": "m8axx-x2s82",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170908-115917940",
        "type": "article",
        "title": "Combinatorial Signal Perception in the BMP Pathway",
        "author": [
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Klumpe",
                "given_name": "Heidi",
                "orcid": "0000-0001-8938-2006",
                "clpid": "Klumpe-Heidi-E"
            },
            {
                "family_name": "Bintu",
                "given_name": "Bogdan",
                "orcid": "0000-0001-9096-5858",
                "clpid": "Bintu-Bogdan"
            },
            {
                "family_name": "Gong",
                "given_name": "Mengsha",
                "clpid": "Gong-Mengsha"
            },
            {
                "family_name": "Su",
                "given_name": "Christina",
                "orcid": "0000-0002-9223-9777",
                "clpid": "Su-Christina-J"
            },
            {
                "family_name": "McCardell",
                "given_name": "Reed",
                "clpid": "McCardell-Reed"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The bone morphogenetic protein (BMP) signaling pathway comprises multiple ligands and receptors that interact promiscuously with one another and typically appear in combinations. This feature is often explained in terms of redundancy and regulatory flexibility, but it has remained unclear what signal-processing capabilities it provides. Here, we show that the BMP pathway processes multi-ligand inputs using a specific repertoire of computations, including ratiometric sensing, balance detection, and imbalance detection. These computations operate on the relative levels of different ligands and can arise directly from competitive receptor-ligand interactions. Furthermore, cells can select different computations to perform on the same ligand combination through expression of alternative sets of receptor variants. These results provide a direct signal-processing role for promiscuous receptor-ligand interactions and establish operational principles for quantitatively controlling cells with BMP ligands. Similar principles could apply to other promiscuous signaling pathways.",
        "doi": "10.1016/j.cell.2017.08.015",
        "pmcid": "PMC5612783",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2017-09-07",
        "series_number": "6",
        "volume": "170",
        "issue": "6",
        "pages": "1184-1196"
    },
    {
        "id": "authors:he21r-5z560",
        "collection": "authors",
        "collection_id": "he21r-5z560",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170515-103755842",
        "type": "article",
        "title": "Challenges and emerging directions in single-cell analysis",
        "author": [
            {
                "family_name": "Yuan",
                "given_name": "Guo-Cheng",
                "orcid": "0000-0002-2283-4714",
                "clpid": "Yuan-Guo-Cheng"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Enver",
                "given_name": "Tariq",
                "clpid": "Enver-Tariq"
            },
            {
                "family_name": "Fan",
                "given_name": "Guoping",
                "clpid": "Fan-Guoping"
            },
            {
                "family_name": "Guo",
                "given_name": "Guoji",
                "clpid": "Guo-Guoji"
            },
            {
                "family_name": "Irizarry",
                "given_name": "Rafael",
                "clpid": "Irizarry-Rafael"
            },
            {
                "family_name": "Kharchenko",
                "given_name": "Peter",
                "clpid": "Kharchenko-Peter"
            },
            {
                "family_name": "Kim",
                "given_name": "Junhyong",
                "clpid": "Kim-Junhyong"
            },
            {
                "family_name": "Orkin",
                "given_name": "Stuart",
                "clpid": "Orkin-Stuart"
            },
            {
                "family_name": "Quackenbush",
                "given_name": "Assieh",
                "clpid": "Quackenbush-Assieh"
            },
            {
                "family_name": "Saadatpour",
                "given_name": "Assieh",
                "clpid": "Saadatpour-Assieh"
            },
            {
                "family_name": "Schroeder",
                "given_name": "Timm",
                "clpid": "Schroeder-Timm"
            },
            {
                "family_name": "Shivdasani",
                "given_name": "Ramesh",
                "clpid": "Shivdasani-Ramesh"
            },
            {
                "family_name": "Tirosh",
                "given_name": "Itay",
                "clpid": "Tirosh-Itay"
            }
        ],
        "abstract": "Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.",
        "doi": "10.1186/s13059-017-1218-y",
        "pmcid": "PMC5421338",
        "issn": "1474-760X",
        "publisher": "BioMed Central",
        "publication": "Genome Biology",
        "publication_date": "2017-05-08",
        "series_number": "1",
        "volume": "18",
        "issue": "1",
        "pages": "Art. No. 84"
    },
    {
        "id": "authors:v8xvr-3ca95",
        "collection": "authors",
        "collection_id": "v8xvr-3ca95",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170505-081744915",
        "type": "article",
        "title": "What Is Your Conceptual Definition of \"Cell Type\" in the Context of a Mature Organism?",
        "author": [
            {
                "family_name": "Clevers",
                "given_name": "Hans",
                "clpid": "Clevers-H"
            },
            {
                "family_name": "Rafelski",
                "given_name": "Susanne",
                "clpid": "Rafelski-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Klein",
                "given_name": "Allon",
                "clpid": "Klein-A"
            },
            {
                "family_name": "Shendure",
                "given_name": "Jay",
                "clpid": "Shendure-J"
            },
            {
                "family_name": "Trapnell",
                "given_name": "Cole",
                "clpid": "Trapnell-C"
            },
            {
                "family_name": "Lein",
                "given_name": "Ed",
                "clpid": "Lein-E-S"
            },
            {
                "family_name": "Lundberg",
                "given_name": "Emma",
                "clpid": "Lundberg-E"
            },
            {
                "family_name": "Uhlen",
                "given_name": "Matthias",
                "clpid": "Uhlen-M"
            },
            {
                "family_name": "Martinez-Arias",
                "given_name": "Alfonso",
                "clpid": "Martinez-Arias-A"
            },
            {
                "family_name": "Sanes",
                "given_name": "Joshua R.",
                "clpid": "Sanes-J-R"
            },
            {
                "family_name": "Blainey",
                "given_name": "Paul",
                "clpid": "Blainey-P"
            },
            {
                "family_name": "Eberwine",
                "given_name": "James",
                "clpid": "Eberwine-J"
            },
            {
                "family_name": "Kim",
                "given_name": "Junhyong",
                "clpid": "Kim-Junhyong"
            },
            {
                "family_name": "Love",
                "given_name": "J. Christopher",
                "clpid": "Love-J-C"
            }
        ],
        "abstract": "[no abstract]",
        "doi": "10.1016/j.cels.2017.03.006",
        "issn": "2405-4712",
        "publisher": "Elsevier",
        "publication": "Cell Systems",
        "publication_date": "2017-03-22",
        "series_number": "3",
        "volume": "4",
        "issue": "3",
        "pages": "255-259"
    },
    {
        "id": "authors:r69md-x7w88",
        "collection": "authors",
        "collection_id": "r69md-x7w88",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170707-101505335",
        "type": "article",
        "title": "An operational view of intercellular signaling pathways",
        "author": [
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            },
            {
                "family_name": "Nandagopal",
                "given_name": "Nagarajan",
                "clpid": "Nandagopal-Nagarajan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Animal cells use a conserved repertoire of intercellular signaling pathways to communicate with one another. These pathways are well-studied from a molecular point of view. However, we often lack an \"operational\" understanding that would allow us to use these pathways to rationally control cellular behaviors. This requires knowing what dynamic input features each pathway perceives and how it processes those inputs to control downstream processes. To address these questions, researchers have begun to reconstitute signaling pathways in living cells, analyzing their dynamic responses to stimuli, and developing new functional representations of their behavior. Here we review important insights obtained through these new approaches, and discuss challenges and opportunities in understanding signaling pathways from an operational point of view.",
        "doi": "10.1016/j.coisb.2016.12.003",
        "pmcid": "PMC5665397",
        "issn": "2452-3100",
        "publisher": "Elsevier",
        "publication": "Current Opinion in Systems Biology",
        "publication_date": "2017-02",
        "volume": "1",
        "pages": "16-24"
    },
    {
        "id": "authors:h1tvx-s6y87",
        "collection": "authors",
        "collection_id": "h1tvx-s6y87",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20161102-141950462",
        "type": "article",
        "title": "Synthetic recording and in situ readout of lineage information in single cells",
        "author": [
            {
                "family_name": "Frieda",
                "given_name": "Kirsten L.",
                "clpid": "Frieda-Kirsten-L"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Hormoz",
                "given_name": "Sahand",
                "clpid": "Hormoz-Sahand"
            },
            {
                "family_name": "Choi",
                "given_name": "Joonhyuk",
                "clpid": "Choi-Joonhyuk"
            },
            {
                "family_name": "Chow",
                "given_name": "Ke-Huan K.",
                "orcid": "0000-0002-7317-2669",
                "clpid": "Chow-Ke-Huan-K"
            },
            {
                "family_name": "Singer",
                "given_name": "Zachary S.",
                "clpid": "Singer-Zachary-S"
            },
            {
                "family_name": "Budde",
                "given_name": "Mark W.",
                "orcid": "0000-0002-4359-1424",
                "clpid": "Budde-Mark-W"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            }
        ],
        "abstract": "Reconstructing the lineage relationships and dynamic event histories of individual cells within their native spatial context is a long-standing challenge in biology. Many biological processes of interest occur in optically opaque or physically inaccessible contexts, necessitating approaches other than direct imaging. Here, we describe a new synthetic system that enables cells to record lineage information and event histories in the genome in a format that can be subsequently read out in single cells in situ. This system, termed Memory by Engineered Mutagenesis with Optical In situ Readout (MEMOIR), is based on a set of barcoded recording elements termed scratchpads. The state of a given scratchpad can be irreversibly altered by Cas9-based targeted mutagenesis, and read out in single cells through multiplexed single-molecule RNA fluorescence hybridization (smFISH). To demonstrate a proof of principle of MEMOIR, we engineered mouse embryonic stem (ES) cells to contain multiple scratchpads and other recording components. In these cells, scratchpads were altered in a progressive and stochastic fashion as cells proliferated. Analysis of the final states of scratchpads in single cells in situ enabled reconstruction of the lineage trees of cell colonies. Combining analysis of endogenous gene expression with lineage reconstruction in the same cells further allowed inference of the dynamic rates at which ES cells switch between two gene expression states. Finally, using simulations, we showed how parallel MEMOIR systems operating in the same cell can enable recording and readout of dynamic cellular event histories. MEMOIR thus provides a versatile platform for information recording and in situ, single cell readout across diverse biological systems.",
        "doi": "10.1038/nature20777",
        "pmcid": "PMC6487260",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2017-01-05",
        "series_number": "7635",
        "volume": "541",
        "issue": "7635",
        "pages": "107-111"
    },
    {
        "id": "authors:9kv8f-88h40",
        "collection": "authors",
        "collection_id": "9kv8f-88h40",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20161128-114511280",
        "type": "article",
        "title": "Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements",
        "author": [
            {
                "family_name": "Hormoz",
                "given_name": "Sahand",
                "clpid": "Hormoz-Sahand"
            },
            {
                "family_name": "Singer",
                "given_name": "Zakary S.",
                "clpid": "Singer-Zakary-S"
            },
            {
                "family_name": "Linton",
                "given_name": "James M.",
                "clpid": "Linton-James-M"
            },
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            },
            {
                "family_name": "Shraiman",
                "given_name": "Boris I.",
                "clpid": "Shraiman-Boris-I"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "As they proliferate, living cells undergo transitions between specific molecularly and developmentally distinct states. Despite the functional centrality of these transitions in multicellular organisms, it has remained challenging to determine which transitions occur and at what rates without perturbations and cell engineering. Here, we introduce kin correlation analysis (KCA) and show that quantitative cell-state transition dynamics can be inferred, without direct observation, from the clustering of cell states on pedigrees (lineage trees). Combining KCA with pedigrees obtained from time-lapse imaging and endpoint single-molecule RNA-fluorescence in situ hybridization (RNA-FISH) measurements of gene expression, we determined the cell-state transition network of mouse embryonic stem (ES) cells. This analysis revealed that mouse ES cells exhibit stochastic and reversible transitions along a linear chain of states ranging from 2C-like to epiblast-like. Our approach is broadly applicable and may be applied to systems with irreversible transitions and non-stationary dynamics, such as in cancer and development.",
        "doi": "10.1016/j.cels.2016.10.015",
        "pmcid": "PMC5142829",
        "issn": "2405-4712",
        "publisher": "Cell Press",
        "publication": "Cell Systems",
        "publication_date": "2016-11-23",
        "series_number": "5",
        "volume": "3",
        "issue": "5",
        "pages": "419-433"
    },
    {
        "id": "authors:x1d9t-d8954",
        "collection": "authors",
        "collection_id": "x1d9t-d8954",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20161017-101223005",
        "type": "article",
        "title": "Synthetic biology: Precision timing in a cell",
        "author": [
            {
                "family_name": "Gao",
                "given_name": "Xiaojing J.",
                "clpid": "Gao-Xiaojing-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A 16-year-old synthetic genetic circuit that produces gene-expression oscillations in bacterial cells has been given an upgrade, making it an exceptionally precise biological clock.",
        "doi": "10.1038/nature19478",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2016-10-27",
        "series_number": "7626",
        "volume": "538",
        "issue": "7626",
        "pages": "462-463"
    },
    {
        "id": "authors:n0xgs-vjw12",
        "collection": "authors",
        "collection_id": "n0xgs-vjw12",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20160613-162442836",
        "type": "article",
        "title": "Asynchronous combinatorial action of four regulatory factors activates Bcl11b for T cell commitment",
        "author": [
            {
                "family_name": "Kueh",
                "given_name": "Hao Yuan",
                "orcid": "0000-0001-6272-6673",
                "clpid": "Kueh-Hao-Yuan"
            },
            {
                "family_name": "Yui",
                "given_name": "Mary A.",
                "orcid": "0000-0002-3136-2181",
                "clpid": "Yui-Mary-A"
            },
            {
                "family_name": "Ng",
                "given_name": "Kenneth K. H.",
                "clpid": "Ng-Kenneth-K-H"
            },
            {
                "family_name": "Pease",
                "given_name": "Shirley S.",
                "clpid": "Pease-Shirley-S"
            },
            {
                "family_name": "Zhang",
                "given_name": "Jingli A.",
                "clpid": "Zhang-Jingli-A"
            },
            {
                "family_name": "Damle",
                "given_name": "Sagar S.",
                "clpid": "Damle-Sagar-S"
            },
            {
                "family_name": "Freedman",
                "given_name": "George",
                "clpid": "Freedman-George"
            },
            {
                "family_name": "Siu",
                "given_name": "Sharmayne",
                "clpid": "Siu-Sharmayne"
            },
            {
                "family_name": "Bernstein",
                "given_name": "Irwin D.",
                "orcid": "0000-0003-0795-3392",
                "clpid": "Bernstein-Irwin-D"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Rothenberg",
                "given_name": "Ellen V.",
                "orcid": "0000-0002-3901-347X",
                "clpid": "Rothenberg-E-V"
            }
        ],
        "abstract": "During T cell development, multipotent progenitors relinquish competence for other fates and commit to the T cell lineage by turning on Bcl11b, which encodes a transcription factor. To clarify lineage commitment mechanisms, we followed developing T cells at the single-cell level using Bcl11b knock-in fluorescent reporter mice. Notch signaling and Notch-activated transcription factors collaborate to activate Bcl11b expression irrespectively of Notch-dependent proliferation. These inputs work via three distinct, asynchronous mechanisms: an early locus 'poising' function dependent on TCF-1 and GATA-3, a stochastic-permissivity function dependent on Notch signaling, and a separate amplitude-control function dependent on Runx1, a factor already present in multipotent progenitors. Despite their necessity for Bcl11b expression, these inputs act in a stage-specific manner, providing a multitiered mechanism for developmental gene regulation.",
        "doi": "10.1038/ni.3514",
        "pmcid": "PMC4955789",
        "issn": "1529-2908",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Immunology",
        "publication_date": "2016-08",
        "series_number": "8",
        "volume": "17",
        "issue": "8",
        "pages": "956-965"
    },
    {
        "id": "authors:xv89r-d8958",
        "collection": "authors",
        "collection_id": "xv89r-d8958",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20161021-124515838",
        "type": "article",
        "title": "Dissecting the transcriptional regulatory network for early T-cell commitment",
        "author": [
            {
                "family_name": "Rothenberg",
                "given_name": "E.",
                "orcid": "0000-0002-3901-347X",
                "clpid": "Rothenberg-E-V"
            },
            {
                "family_name": "Kueh",
                "given_name": "H. Y.",
                "orcid": "0000-0001-6272-6673",
                "clpid": "Kueh-Hao-Yuan"
            },
            {
                "family_name": "Hosokawa",
                "given_name": "H.",
                "orcid": "0000-0002-9592-2889",
                "clpid": "Hosokawa-Hiroyuki"
            },
            {
                "family_name": "Ng",
                "given_name": "K. K. H.",
                "clpid": "Ng-K-K-H"
            },
            {
                "family_name": "Mehta",
                "given_name": "A.",
                "clpid": "Mehta-Arnav"
            },
            {
                "family_name": "Pease",
                "given_name": "S. S.",
                "clpid": "Pease-Shirley-S"
            },
            {
                "family_name": "Romero-Wolf",
                "given_name": "M.",
                "orcid": "0000-0002-8024-7198",
                "clpid": "Romero-Wolf-M"
            },
            {
                "family_name": "Ungerb\u00e4ck",
                "given_name": "J.",
                "clpid": "Ungerb\u00e4ck-J"
            },
            {
                "family_name": "Wang",
                "given_name": "X.",
                "clpid": "Wang-X"
            },
            {
                "family_name": "Yui",
                "given_name": "M. A.",
                "orcid": "0000-0002-3136-2181",
                "clpid": "Yui-Mary-A"
            },
            {
                "family_name": "Zeng",
                "given_name": "W. B.",
                "clpid": "Zeng-W-B"
            },
            {
                "family_name": "Elowitz",
                "given_name": "M. B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Mortazavi",
                "given_name": "A.",
                "orcid": "0000-0002-4259-6362",
                "clpid": "Mortazavi-A"
            }
        ],
        "abstract": "Multipotent precursors proliferating in the thymus become committed to a T-cell fate when their access\nto alternative cell fates is intrinsically and unconditionally closed. This process involves very dynamic\nchanges in transcription factor expression and activity: PU.1 and other factors expressed in\nmultipotent progenitors are downregulated and are usually permanently silenced, while T-cell\ntranscription factors, especially Bcl11b, are sharply activated. The abrupt activation of Bcl11b from a\nsilent state is not only a landmark in T-cell differentiation, marking commitment, but also a functional\ncontributor to commitment. Key target genes affected by Bcl11b function at this particular stage will be\ndescribed: many of them appear to be under the control of Bcl11b as a repressor. Recent proteomic\ncharacterization of Bcl11b-containing protein complexes indicates the corepressor and coactivator\npartners that it uses to mediate different types of regulatory activity at different genomic sites. Since\nBcl11b is such a powerful factor, a central question is how the onset of expression of Bcl11b itself is\ncontrolled. The talk will describe the combination of trans-acting factors that are needed to open the\nBcl11b locus and activate it, and show that these factors each play slightly different temporal and\nfunctional roles in the activation process. Interestingly, evidence will also be shown for an epigenetic\ncomponent of Bcl11b regulation that further slows its activation but helps to make it irreversible.",
        "doi": "10.1002/eji.201670200",
        "issn": "0014-2980",
        "publisher": "Wiley",
        "publication": "European Journal of Immunology",
        "publication_date": "2016-08",
        "series_number": "S1",
        "volume": "46",
        "issue": "S1",
        "pages": "797"
    },
    {
        "id": "authors:6gg68-bse49",
        "collection": "authors",
        "collection_id": "6gg68-bse49",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20160321-104414916",
        "type": "article",
        "title": "Central Dogma Goes Digital",
        "author": [
            {
                "family_name": "Lin",
                "given_name": "Yihan",
                "clpid": "Lin-Yihan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In this issue of Molecular Cell, Tay and colleagues ( Albayrak et al., 2016) describe a new technique to digitally quantify the numbers of protein and mRNA in the same mammalian cell, providing a new way to look at the central dogma of molecular biology.",
        "doi": "10.1016/j.molcel.2016.03.005",
        "issn": "1097-2765",
        "publisher": "Elsevier",
        "publication": "Molecular Cell",
        "publication_date": "2016-03-17",
        "series_number": "6",
        "volume": "61",
        "issue": "6",
        "pages": "791-792"
    },
    {
        "id": "authors:e686y-qa817",
        "collection": "authors",
        "collection_id": "e686y-qa817",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20160216-093925349",
        "type": "article",
        "title": "Dynamics of epigenetic regulation at the single-cell level",
        "author": [
            {
                "family_name": "Bintu",
                "given_name": "Lacramioara",
                "orcid": "0000-0001-5443-6633",
                "clpid": "Bintu-Lacramioara"
            },
            {
                "family_name": "Yong",
                "given_name": "John",
                "clpid": "Yong-John"
            },
            {
                "family_name": "Antebi",
                "given_name": "Yaron E.",
                "orcid": "0000-0002-5771-6814",
                "clpid": "Antebi-Yaron-E"
            },
            {
                "family_name": "McCue",
                "given_name": "Kayla",
                "clpid": "McCue-Kayla"
            },
            {
                "family_name": "Kazuki",
                "given_name": "Yasuhiro",
                "orcid": "0000-0003-4818-4710",
                "clpid": "Kazuki-Yasuhiro"
            },
            {
                "family_name": "Uno",
                "given_name": "Narumi",
                "clpid": "Uno-Narumi"
            },
            {
                "family_name": "Oshimura",
                "given_name": "Mitsuo",
                "clpid": "Oshimura-Mitsuo"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Chromatin regulators play a major role in establishing and maintaining gene expression states. Yet how they control gene expression in single cells, quantitatively and over time, remains unclear. We used time-lapse microscopy to analyze the dynamic effects of four silencers associated with diverse modifications: DNA methylation, histone deacetylation, and histone methylation. For all regulators, silencing and reactivation occurred in all-or-none events, enabling the regulators to modulate the fraction of cells silenced rather than the amount of gene expression. These dynamics could be described by a three-state model involving stochastic transitions between active, reversibly silent, and irreversibly silent states. Through their individual transition rates, these regulators operate over different time scales and generate distinct types of epigenetic memory. Our results provide a framework for understanding and engineering mammalian chromatin regulation and epigenetic memory.",
        "doi": "10.1126/science.aab2956",
        "pmcid": "PMC5108652",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2016-02-12",
        "series_number": "6274",
        "volume": "351",
        "issue": "6274",
        "pages": "720-724"
    },
    {
        "id": "authors:72nva-kvd34",
        "collection": "authors",
        "collection_id": "72nva-kvd34",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150805-144646254",
        "type": "article",
        "title": "Combinatorial gene regulation by modulation of relative pulse timing",
        "author": [
            {
                "family_name": "Lin",
                "given_name": "Yihan",
                "orcid": "0000-0002-2763-5538",
                "clpid": "Lin-Yihan"
            },
            {
                "family_name": "Sohn",
                "given_name": "Chang Ho",
                "orcid": "0000-0002-7585-1841",
                "clpid": "Sohn-Chang-Ho"
            },
            {
                "family_name": "Dalal",
                "given_name": "Chiraj K.",
                "orcid": "0000-0002-3624-8409",
                "clpid": "Dalal-Chiraj-K"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Studies of individual living cells have revealed that many transcription factors activate in dynamic, and often stochastic, pulses within the same cell. However, it has remained unclear whether cells might exploit the dynamic interaction of these pulses to control gene expression. Here, using quantitative single-cell time-lapse imaging of Saccharomyces cerevisiae, we show that the pulsatile transcription factors Msn2 and Mig1 combinatorially regulate their target genes through modulation of their relative pulse timing. The activator Msn2 and repressor Mig1 showed pulsed activation in either a temporally overlapping or non-overlapping manner during their transient response to different inputs, with only the non-overlapping dynamics efficiently activating target gene expression. Similarly, under constant environmental conditions, where Msn2 and Mig1 exhibit sporadic pulsing, glucose concentration modulated the temporal overlap between pulses of the two factors. Together, these results reveal a time-based mode of combinatorial gene regulation. Regulation through relative signal timing is common in engineering and neurobiology, and these results suggest that it could also function broadly within the signalling and regulatory systems of the cell.",
        "doi": "10.1038/nature15710",
        "pmcid": "PMC4870307",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2015-11-05",
        "series_number": "7576",
        "volume": "527",
        "issue": "7576",
        "pages": "54-58"
    },
    {
        "id": "authors:1peqg-qfe69",
        "collection": "authors",
        "collection_id": "1peqg-qfe69",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150112-083957342",
        "type": "article",
        "title": "Single-Cell Transcriptome Analysis Reveals Dynamic Changes in lncRNA Expression during Reprogramming",
        "author": [
            {
                "family_name": "Kim",
                "given_name": "Daniel H.",
                "clpid": "Kim-Daniel-H"
            },
            {
                "family_name": "Marinov",
                "given_name": "Georgi K.",
                "orcid": "0000-0003-1822-7273",
                "clpid": "Marinov-G-K"
            },
            {
                "family_name": "Pepke",
                "given_name": "Shirley",
                "clpid": "Pepke-S"
            },
            {
                "family_name": "Singer",
                "given_name": "Zakary S.",
                "clpid": "Singer-Z-S"
            },
            {
                "family_name": "He",
                "given_name": "Peng",
                "clpid": "He-Peng"
            },
            {
                "family_name": "Williams",
                "given_name": "Brian",
                "clpid": "Williams-B"
            },
            {
                "family_name": "Schroth",
                "given_name": "Gary P.",
                "clpid": "Schroth-G-P"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Wold",
                "given_name": "Barbara J.",
                "orcid": "0000-0003-3235-8130",
                "clpid": "Wold-B-J"
            }
        ],
        "abstract": "Cellular reprogramming highlights the epigenetic plasticity of the somatic cell state. Long noncoding RNAs (lncRNAs) have emerging roles in epigenetic regulation, but their potential functions in reprogramming cell fate have been largely unexplored. We used single-cell RNA sequencing to characterize the expression patterns of over 16,000 genes, including 437 lncRNAs, during defined stages of reprogramming to pluripotency. Self-organizing maps (SOMs) were used as an intuitive way to structure and interrogate transcriptome data at the single-cell level. Early molecular events during reprogramming involved the activation of Ras signaling pathways, along with hundreds of lncRNAs. Loss-of-function studies showed that activated lncRNAs can repress lineage-specific genes, while lncRNAs activated in multiple reprogramming cell types can regulate metabolic gene expression. Our findings demonstrate that reprogramming cells activate defined sets of functionally relevant lncRNAs and provide a resource to further investigate how dynamic changes in the transcriptome reprogram cell state.",
        "doi": "10.1016/j.stem.2014.11.005",
        "pmcid": "PMC4291542",
        "issn": "1934-5909",
        "publisher": "Elsevier",
        "publication": "Cell Stem Cell",
        "publication_date": "2015-01-08",
        "series_number": "1",
        "volume": "16",
        "issue": "1",
        "pages": "88-101"
    },
    {
        "id": "authors:70dpj-v1f57",
        "collection": "authors",
        "collection_id": "70dpj-v1f57",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150130-091522471",
        "type": "article",
        "title": "Synthetic Biology of Multicellular Systems: New Platforms and Applications for Animal Cells and Organisms",
        "author": [
            {
                "family_name": "Markson",
                "given_name": "Joseph S.",
                "clpid": "Markson-J-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Like life itself, synthetic biology began with unicellular\norganisms. Early synthetic biologists built genetic circuits\nin model prokaryotes and yeast because of their relative\nbiological simplicity and ease of genetic manipulation. With\nsuperior genetic tools, faster generation times, and betterunderstood endogenous gene expression machinery, prokaryotes and yeast were (and remain) appealing hosts for the engineering of synthetic systems. Now in its second decade, synthetic biology in unicellular organisms has produced myriad synthetic genetic circuits, a number of industrial applications, and fundamental new biological insights unlikely to have emerged from nonsynthetic approaches.",
        "doi": "10.1021/sb500358y",
        "pmcid": "PMC4476972",
        "issn": "2161-5063",
        "publisher": "American Chemical Society",
        "publication": "ACS Synthetic Biology",
        "publication_date": "2014-12-19",
        "series_number": "12",
        "volume": "3",
        "issue": "12",
        "pages": "875-876"
    },
    {
        "id": "authors:xgkj2-bqj78",
        "collection": "authors",
        "collection_id": "xgkj2-bqj78",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150324-122948946",
        "type": "article",
        "title": "HoxA3 Controls Notch Pathway to Repress Blood Development",
        "author": [
            {
                "family_name": "Sanghez",
                "given_name": "Valentina",
                "orcid": "0000-0002-4131-7480",
                "clpid": "Sanghez-V"
            },
            {
                "family_name": "Kee",
                "given_name": "Dustin",
                "clpid": "Kee-Dustin"
            },
            {
                "family_name": "Beuder",
                "given_name": "Steven",
                "clpid": "Beuder-S"
            },
            {
                "family_name": "Rux",
                "given_name": "Danielle",
                "clpid": "Rux-D"
            },
            {
                "family_name": "Osawa",
                "given_name": "Mitsujiro",
                "clpid": "Osawa-Mitsujiro"
            },
            {
                "family_name": "Markson",
                "given_name": "Joe",
                "clpid": "Markson-J-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Kyba",
                "given_name": "Michael",
                "clpid": "Kyba-M"
            },
            {
                "family_name": "Iacobino",
                "given_name": "Michelina",
                "clpid": "Iacobino-M"
            }
        ],
        "abstract": "Hematopoietic stem cells (HSC) are generated from a specialized subset of endothelial cells, hemogenic endothelium. Previous studies performed by our group showed that HoxA3 restrains the cell at the hemogenic endothelium stage, inhibiting further differentiation toward blood by direct repression of Runx1. Building on our previous work, we show here that overexpression of HoxA3 affects the Notch pathway. Upon HoxA3 upregulation in endothelial cells, Jag1 is induced, Mfng (Manic) and Lfng (Lunatic) fringes are downregulated, and there is a trend towards Notch target gene repression. These data suggest that in the presence of HoxA3, endothelial cells are blocked from receiving Notch signal through ligand cis-inhibition with resulting blood inhibition. In order to test this hypothesis, we evaluated the effect of activation or inhibition of the Notch pathway during blood development. We show here that the number of blood progenitors originating from the hemogenic endothelium is decreased when the Notch pathway is inhibited. Conversely, induction of the pathway by upregulation of NICD (Notch1 Intra Cellular Domain) promotes an increase in the number of blood progenitors originating from hemogenic endothelium. Furthermore, inhibition of the pathway when HoxA3 is upregulated has little or no effect in blood while induction of the pathway in HoxA3 presence in part promotes blood development. Taken together, these results demonstrate that Notch pathway is both sufficient and essential for blood development. Specifically HoxA3 inhibits Notch signal reception in two ways: 1) HoxA3 increases Jag1 ligand expression that acts in cis-inhibition; 2) represses Manic and Lunatic fringes both necessary to increase the affinity of Notch receptors for the Delta ligands. When this blockage is bypassed by NICD upregulation, blood is formed, demonstrating that HoxA3-dependent Notch inhibition results in blood suppression.",
        "issn": "0006-4971",
        "publisher": "American Society of Hematology",
        "publication": "Blood",
        "publication_date": "2014-12-06",
        "series_number": "21",
        "volume": "124",
        "issue": "21"
    },
    {
        "id": "authors:e72gb-kqs62",
        "collection": "authors",
        "collection_id": "e72gb-kqs62",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20141201-083856186",
        "type": "article",
        "title": "Polyphasic feedback enables tunable cellular timers",
        "author": [
            {
                "family_name": "Levine",
                "given_name": "Joe H.",
                "clpid": "Levine-J-H"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Cellular 'timers' provide an important function in living cells [1]. Timers help cells defer their responses to stimuli, often for time intervals extending over multiple cell cycles (Figure 1A, left). For example, mammalian oligodendrocyte precursors typically proliferate for \u223c7 divisions before differentiating during neural development [2]. The bacterium Bacillus subtilis can respond to sudden nutrient limitation by transforming into a dormant spore after \u223c5 cell cycles [3]. Timers can balance proliferation with differentiation to control the sizes of various cell populations. Some timers appear to operate in a largely cell-autonomous fashion, but the underlying genetic circuit mechanisms that enable this remain poorly understood. Protein dilution poses stringent challenges to timer circuits by continually diluting out timer components in proliferating cells ( Figure 1A, right). Recent work suggests that pulsatile or oscillatory dynamics can facilitate timer functions 3 and 4. Here, we show how polyphasic positive feedback \u2014 a pulsed architecture that breaks a feedback signal into temporally distinct phases \u2014 counteracts protein dilution to facilitate timer behavior.",
        "doi": "10.1016/j.cub.2014.08.030",
        "pmcid": "PMC4451454",
        "issn": "0960-9822",
        "publisher": "Cell Press",
        "publication": "Current Biology",
        "publication_date": "2014-10-20",
        "series_number": "20",
        "volume": "24",
        "issue": "20",
        "pages": "R994-R995"
    },
    {
        "id": "authors:3435n-2mq05",
        "collection": "authors",
        "collection_id": "3435n-2mq05",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20141007-094944386",
        "type": "article",
        "title": "Fringe proteins modulate Notch-ligand cis and trans interactions to specify signaling states",
        "author": [
            {
                "family_name": "LeBon",
                "given_name": "Lauren",
                "clpid": "LeBon-L"
            },
            {
                "family_name": "Lee",
                "given_name": "Tom V.",
                "clpid": "Lee-Tom-V"
            },
            {
                "family_name": "Jafar-Nejad",
                "given_name": "Hamed",
                "clpid": "Jafar-Nejad-H"
            },
            {
                "family_name": "Sprinzak",
                "given_name": "David",
                "clpid": "Sprinzak-D"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The Notch signaling pathway consists of multiple types of receptors and ligands, whose interactions can be tuned by Fringe glycosyltransferases. A major challenge is to determine how these components control the specificity and directionality of Notch signaling in developmental contexts. Here, we analyzed same-cell (cis) Notch-ligand interactions for Notch1, Dll1, and Jag1, and their dependence on Fringe protein expression in mammalian cells. We found that Dll1 and Jag1 can cis-inhibit Notch1, and Fringe proteins modulate these interactions in a way that parallels their effects on trans interactions. Fringe similarly modulated Notch-ligand cis interactions during Drosophila development. Based on these and previously identified interactions, we show how the design of the Notch signaling pathway leads to a restricted repertoire of signaling states that promote heterotypic signaling between distinct cell types, providing insight into the design principles of the Notch signaling system, and the specific developmental process of Drosophila dorsal-ventral boundary formation.",
        "doi": "10.7554/eLife.02950",
        "pmcid": "PMC4174579",
        "issn": "2050-084X",
        "publisher": "eLife Sciences Publications",
        "publication": "eLife",
        "publication_date": "2014-09-25",
        "volume": "3",
        "pages": "Art. No. e02950"
    },
    {
        "id": "authors:ey2f8-hnp09",
        "collection": "authors",
        "collection_id": "ey2f8-hnp09",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20140909-172029209",
        "type": "article",
        "title": "Pulsatile Dynamics in the Yeast Proteome",
        "author": [
            {
                "family_name": "Dalal",
                "given_name": "Chiraj K.",
                "orcid": "0000-0002-3624-8409",
                "clpid": "Dalal-C-K"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Lin",
                "given_name": "Yihan",
                "clpid": "Lin-Yihan"
            },
            {
                "family_name": "Rahbar",
                "given_name": "Kasra",
                "clpid": "Rahbar-K"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The activation of transcription factors in response to environmental conditions is fundamental to cellular regulation. Recent work has revealed that some transcription factors are activated in stochastic pulses of nuclear localization, rather than at a constant level, even in a constant environment. In such cases, signals control the mean activity of the transcription factor by modulating the frequency, duration, or amplitude of these pulses. Although specific pulsatile transcription factors have been identified in diverse cell types, it has remained unclear how prevalent pulsing is within the cell, how variable pulsing behaviors are between genes, and whether pulsing is specific to transcriptional regulators or is employed more broadly. To address these issues, we performed a proteome-wide movie-based screen to systematically identify localization-based pulsing behaviors in Saccharomyces cerevisiae. The screen examined all genes in a previously developed fluorescent protein fusion library of 4,159 strains in multiple media conditions. This approach revealed stochastic pulsing in ten proteins, all transcription factors. In each case, pulse dynamics were heterogeneous and unsynchronized among cells in clonal populations. Pulsing is the only dynamic localization behavior that we observed, and it tends to occur in pairs of paralogous and redundant proteins. Taken together, these results suggest that pulsatile dynamics play a pervasive role in yeast and may be similarly prevalent in other eukaryotic species.",
        "doi": "10.1016/j.cub.2014.07.076",
        "pmcid": "PMC4203654",
        "issn": "0960-9822",
        "publisher": "Cell Press",
        "publication": "Current Biology",
        "publication_date": "2014-09-22",
        "series_number": "18",
        "volume": "24",
        "issue": "18",
        "pages": "2189-2194"
    },
    {
        "id": "authors:11ye6-9qx23",
        "collection": "authors",
        "collection_id": "11ye6-9qx23",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20140911-141135837",
        "type": "article",
        "title": "Macrophage and T-cell fate control: Insights from tracking transcription factor dynamics in single cells",
        "author": [
            {
                "family_name": "Kueh",
                "given_name": "Hao Yuan",
                "orcid": "0000-0001-6272-6673",
                "clpid": "Kueh-Hao-Yuan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Rothenberg",
                "given_name": "Ellen V.",
                "orcid": "0000-0002-3901-347X",
                "clpid": "Rothenberg-E-V"
            }
        ],
        "abstract": "Hematopoietic stem and progenitor cells employ circuits of regulatory genes to integrate developmental signals and stabilize fate choices. These progenitors show considerable cell-to-cell heterogeneity in their fate choices; thus, to better understand how regulatory genes control fate decisions, we tracked their levels in single progenitors over time using timelapse live-cell imaging. We examined two hematopoietic fate transitions: 1) macrophage differentiation, driven by the up-regulation of the myeloid transcription factor PU.1; and 2) T-cell fate commitment, controlled by the activation of the T-cell specific transcription factor Bcl11b. In our study of macrophage differentiation, we found that cell cycle length acts as critical mediator in the positive feedback circuit controlling differentiation (Kueh et al. 2013). By following PU.1 regulation in single cells containing a knock-in PU.1-GFP reporter, we found that developing macrophages lengthen their cell cycles to promote stable PU.1 accumulation, and that PU.1 itself promotes cell cycle lengthening, completing a positive feedback loop that stabilizes its own expression. Mathematical modeling furthered showed that this cell cycle feedback circuit robustly stabilizes a slow-dividing differentiated state. In our studies on T-cell fate commitment, we found that Notch signaling \u2013 the primary driver of development \u2013 enhances the frequency of all-or-none Bcl11b gene activation to promote commitment. By analyzing progenitors from mice containing a knock-in Bcl11b-YFP reporter, we found that uncommitted (Bcl11b-DN2A) progenitors can activate Bcl11b transcription and undergo fate commitment in the absence of Notch signaling, and that Notch signaling does not modulate the level of Bcl11b transcription, but instead increases the rate at which progenitors switch Bcl11b to an actively expressing state. These results reveal insights into how signaling pathways activate regulatory gene expression to instruct cell fate.",
        "doi": "10.1016/j.exphem.2014.07.054",
        "issn": "0301-472X",
        "publisher": "Elsevier",
        "publication": "Experimental Hematology",
        "publication_date": "2014-08",
        "series_number": "8",
        "volume": "42",
        "issue": "8",
        "pages": "S16"
    },
    {
        "id": "authors:77t57-k8q45",
        "collection": "authors",
        "collection_id": "77t57-k8q45",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20140729-074318148",
        "type": "article",
        "title": "Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells",
        "author": [
            {
                "family_name": "Singer",
                "given_name": "Zakary S.",
                "clpid": "Singer-Z-S"
            },
            {
                "family_name": "Yong",
                "given_name": "John",
                "clpid": "Yong-John"
            },
            {
                "family_name": "Tischler",
                "given_name": "Julia",
                "clpid": "Tischler-J"
            },
            {
                "family_name": "Hackett",
                "given_name": "Jamie A.",
                "clpid": "Hackett-J-A"
            },
            {
                "family_name": "Altinok",
                "given_name": "Alphan",
                "clpid": "Altinok-A"
            },
            {
                "family_name": "Surani",
                "given_name": "M. Azim",
                "clpid": "Surani-M-A"
            },
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Cell populations can be strikingly heterogeneous, composed of multiple cellular states, each exhibiting stochastic noise in its gene expression. A major challenge is to disentangle these two types of variability and to understand the dynamic processes and mechanisms that control them. Embryonic stem cells (ESCs) provide an ideal model system to address this issue because they exhibit heterogeneous and dynamic expression of functionally important regulatory factors. We analyzed gene expression in individual ESCs using single-molecule RNA-FISH and quantitative time-lapse movies. These data discriminated stochastic switching between two coherent (correlated) gene expression states and burst-like transcriptional noise. We further showed that the \"2i\" signaling pathway inhibitors modulate both types of variation. Finally, we found that DNA methylation plays a key role in maintaining these metastable states. Together, these results show how ESC gene expression states and dynamics arise from a combination of intrinsic noise, coherent cellular states, and epigenetic regulation.",
        "doi": "10.1016/j.molcel.2014.06.029",
        "pmcid": "PMC4104113",
        "issn": "1097-2765",
        "publisher": "Elsevier",
        "publication": "Molecular Cell",
        "publication_date": "2014-07-17",
        "series_number": "2",
        "volume": "55",
        "issue": "2",
        "pages": "319-331"
    },
    {
        "id": "authors:1hq9f-xtb58",
        "collection": "authors",
        "collection_id": "1hq9f-xtb58",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20140421-105002893",
        "type": "article",
        "title": "Brf1 posttranscriptionally regulates pluripotency and differentiation responses downstream of Erk MAP kinase",
        "author": [
            {
                "family_name": "Tan",
                "given_name": "Frederick E.",
                "clpid": "Tan-Frederick-E"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "AU-rich element mRNA-binding proteins (AUBPs) are key regulators of development, but how they are controlled and what functional roles they play depends on cellular context. Here, we show that Brf1 (zfp36l1), an AUBP from the Zfp36 protein family, operates downstream of FGF/Erk MAP kinase signaling to regulate pluripotency and cell fate decision making in mouse embryonic stem cells (mESCs). FGF/Erk MAP kinase signaling up-regulates Brf1, which disrupts the expression of core pluripotency-associated genes and attenuates mESC self-renewal without inducing differentiation. These regulatory effects are mediated by rapid and direct destabilization of Brf1 targets, such as Nanog mRNA. Enhancing Brf1 expression does not compromise mESC pluripotency but does preferentially regulate mesendoderm commitment during differentiation, accelerating the expression of primitive streak markers. Together, these studies demonstrate that FGF signals use targeted mRNA degradation by Brf1 to enable rapid posttranscriptional control of gene expression in mESCs.",
        "doi": "10.1073/pnas.1320873111",
        "pmcid": "PMC4035916",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2014-04-29",
        "series_number": "17",
        "volume": "111",
        "issue": "17",
        "pages": "E1740-E1748"
    },
    {
        "id": "authors:d8p8t-j2w69",
        "collection": "authors",
        "collection_id": "d8p8t-j2w69",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20140225-111459679",
        "type": "article",
        "title": "Realizing the potential of synthetic biology",
        "author": [
            {
                "family_name": "Church",
                "given_name": "George M.",
                "clpid": "Church-George-M"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Smolke",
                "given_name": "Christina D.",
                "orcid": "0000-0002-5449-8495",
                "clpid": "Smolke-C-D"
            },
            {
                "family_name": "Voigt",
                "given_name": "Christopher A.",
                "clpid": "Voigt-Christopher-A"
            },
            {
                "family_name": "Weiss",
                "given_name": "Ron",
                "clpid": "Weiss-Ron"
            }
        ],
        "abstract": "Synthetic biology, despite still being in its infancy, is increasingly\nproviding valuable information for applications in the clinic, the biotechnology\nindustry and in basic molecular research. Both its unique potential and the\nchallenges it presents have brought together the expertise of an eclectic group of\nscientists, from cell biologists to engineers. In this Viewpoint article, five experts\ndiscuss their views on the future of synthetic biology, on its main achievements in\nbasic and applied science, and on the bioethical issues that are associated with the\ndesign of new biological systems.",
        "doi": "10.1038/nrm3767",
        "pmcid": "PMC9645560",
        "issn": "1471-0072",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Reviews. Molecular Cell Biology",
        "publication_date": "2014-04",
        "series_number": "4",
        "volume": "15",
        "issue": "4",
        "pages": "289-294"
    },
    {
        "id": "authors:4e2pt-2vf07",
        "collection": "authors",
        "collection_id": "4e2pt-2vf07",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20140106-085309612",
        "type": "article",
        "title": "Functional Roles of Pulsing in Genetic Circuits",
        "author": [
            {
                "family_name": "Levine",
                "given_name": "Joe H.",
                "clpid": "Levine-J-H"
            },
            {
                "family_name": "Lin",
                "given_name": "Yihan",
                "clpid": "Lin-Yihan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A fundamental problem in biology is to understand how genetic circuits implement core cellular functions. Time-lapse microscopy techniques are beginning to provide a direct view of circuit dynamics in individual living cells. Unexpectedly, we are discovering that key transcription and regulatory factors pulse on and off repeatedly, and often stochastically, even when cells are maintained in constant conditions. This type of spontaneous dynamic behavior is pervasive, appearing in diverse cell types from microbes to mammalian cells. Here, we review recent work showing how pulsing is generated and controlled by underlying regulatory circuits and how it provides critical capabilities to cells in stress response, signaling, and development. A major theme is the ability of pulsing to enable time-based regulation analogous to strategies used in engineered systems. Thus, pulsatile dynamics is emerging as a central, and still largely unexplored, layer of temporal organization in the cell.",
        "doi": "10.1126/science.1239999",
        "pmcid": "PMC4100686",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2013-12-06",
        "series_number": "6163",
        "volume": "342",
        "issue": "6163",
        "pages": "1193-1200"
    },
    {
        "id": "authors:dxstp-01v95",
        "collection": "authors",
        "collection_id": "dxstp-01v95",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20130905-110028915",
        "type": "article",
        "title": "Positive Feedback Between PU.1 and the Cell Cycle Controls Myeloid Differentiation",
        "author": [
            {
                "family_name": "Kueh",
                "given_name": "Hao Yuan",
                "orcid": "0000-0001-6272-6673",
                "clpid": "Kueh-Hao-Yuan"
            },
            {
                "family_name": "Champhekhar",
                "given_name": "Ameya",
                "clpid": "Champhekhar-A"
            },
            {
                "family_name": "Nutt",
                "given_name": "Stephen L.",
                "clpid": "Nutt-S-L"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Rothenberg",
                "given_name": "Ellen V.",
                "orcid": "0000-0002-3901-347X",
                "clpid": "Rothenberg-E-V"
            }
        ],
        "abstract": "Regulatory gene circuits with positive-feedback loops control stem cell differentiation, but several mechanisms can contribute to positive feedback. Here, we dissect feedback mechanisms through which the transcription factor PU.1 controls lymphoid and myeloid differentiation. Quantitative live-cell imaging revealed that developing B cells decrease PU.1 levels by reducing PU.1 transcription, whereas developing macrophages increase PU.1 levels by lengthening their cell cycles, which causes stable PU.1 accumulation. Exogenous PU.1 expression in progenitors increases endogenous PU.1 levels by inducing cell cycle lengthening, implying positive feedback between a regulatory factor and the cell cycle. Mathematical modeling showed that this cell cycle\u2013coupled feedback architecture effectively stabilizes a slow-dividing differentiated state. These results show that cell cycle duration functions as an integral part of a positive autoregulatory circuit to control cell fate.",
        "doi": "10.1126/science.1240831",
        "pmcid": "PMC3913367",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2013-08-09",
        "series_number": "6146",
        "volume": "341",
        "issue": "6146",
        "pages": "670-673"
    },
    {
        "id": "authors:bhxja-vc626",
        "collection": "authors",
        "collection_id": "bhxja-vc626",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20130423-105410788",
        "type": "article",
        "title": "Rate of environmental change determines stress response specificity",
        "author": [
            {
                "family_name": "Young",
                "given_name": "Jonathan W.",
                "clpid": "Young-J-W"
            },
            {
                "family_name": "Locke",
                "given_name": "James C. W.",
                "clpid": "Locke-J-C-W"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Cells use general stress response pathways to activate diverse target genes in response to a variety of stresses. However, general stress responses coexist with more specific pathways that are activated by individual stresses, provoking the fundamental question of whether and how cells control the generality or specificity of their response to a particular stress. Here we address this issue using quantitative time-lapse microscopy of the Bacillus subtilis environmental stress response, mediated by \u03c3^B. We analyzed \u03c3^B activation in response to stresses such as salt and ethanol imposed at varying rates of increase. Dynamically, \u03c3^B responded to these stresses with a single adaptive activity pulse, whose amplitude depended on the rate at which the stress increased. This rate-responsive behavior can be understood from mathematical modeling of a key negative feedback loop in the underlying regulatory circuit. Using RNAseq we analyzed the effects of both rapid and gradual increases of ethanol and salt stress across the genome. Because of the rate responsiveness of \u03c3^B activation, salt and ethanol regulons overlap under rapid, but not gradual, increases in stress. Thus, the cell responds specifically to individual stresses that appear gradually, while using \u03c3^B to broaden the cellular response under more rapidly deteriorating conditions. Such dynamic control of specificity could be a critical function of other general stress response pathways.",
        "doi": "10.1073/pnas.1213060110",
        "pmcid": "PMC3593889",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2013-03-05",
        "series_number": "10",
        "volume": "110",
        "issue": "10",
        "pages": "4140-4145"
    },
    {
        "id": "authors:6a8zh-ta653",
        "collection": "authors",
        "collection_id": "6a8zh-ta653",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20120217-105727788",
        "type": "article",
        "title": "Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy",
        "author": [
            {
                "family_name": "Young",
                "given_name": "Jonathan W.",
                "clpid": "Young-J-W"
            },
            {
                "family_name": "Locke",
                "given_name": "James C. W.",
                "clpid": "Locke-J-C-W"
            },
            {
                "family_name": "Altinok",
                "given_name": "Alphan",
                "clpid": "Altinok-A"
            },
            {
                "family_name": "Rosenfeld",
                "given_name": "Nitzan",
                "clpid": "Rosenfeld-N"
            },
            {
                "family_name": "Bacarian",
                "given_name": "Tigran",
                "clpid": "Bacarian-T"
            },
            {
                "family_name": "Swain",
                "given_name": "Peter S.",
                "clpid": "Swain-P-S"
            },
            {
                "family_name": "Mjolsness",
                "given_name": "Eric",
                "clpid": "Mjolsness-E-D"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Quantitative single-cell time-lapse microscopy is a powerful method for analyzing gene circuit dynamics and heterogeneous cell behavior. We describe the application of this method to imaging bacteria by using an automated microscopy system. This protocol has been used to analyze sporulation and competence differentiation in Bacillus subtilis, and to quantify gene regulation and its fluctuations in individual Escherichia coli cells. The protocol involves seeding and growing bacteria on small agarose pads and imaging the resulting microcolonies. Images are then reviewed and analyzed using our laboratory's custom MATLAB analysis code, which segments and tracks cells in a frame-to-frame method. This process yields quantitative expression data on cell lineages, which can illustrate dynamic expression profiles and facilitate mathematical models of gene circuits. With fast-growing bacteria, such as E. coli or B. subtilis, image acquisition can be completed in 1 d, with an additional 1\u20132 d for progressing through the analysis procedure.",
        "doi": "10.1038/nprot.2011.432",
        "pmcid": "PMC4161363",
        "issn": "1754-2189",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Protocols",
        "publication_date": "2012-01",
        "series_number": "1",
        "volume": "7",
        "issue": "1",
        "pages": "80-88"
    },
    {
        "id": "authors:5xnk2-fwk63",
        "collection": "authors",
        "collection_id": "5xnk2-fwk63",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20120313-120007998",
        "type": "article",
        "title": "Pulsed Feedback Defers Cellular Differentiation",
        "author": [
            {
                "family_name": "Levine",
                "given_name": "Joe H.",
                "clpid": "Levine-J-H"
            },
            {
                "family_name": "Fontes",
                "given_name": "Michael E.",
                "clpid": "Fontes-M-E"
            },
            {
                "family_name": "Dworkin",
                "given_name": "Jonathan",
                "clpid": "Dworkin-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Environmental signals induce diverse cellular differentiation programs. In certain systems, cells defer differentiation for extended time periods after the signal appears, proliferating through multiple rounds of cell division before committing to a new fate. How can cells set a deferral time much longer than the cell cycle? Here we study Bacillus subtilis cells that respond to sudden nutrient limitation with multiple rounds of growth and division before differentiating into spores. A well-characterized genetic circuit controls the concentration and phosphorylation of the master regulator Spo0A, which rises to a critical concentration to initiate sporulation. However, it remains unclear how this circuit enables cells to defer sporulation for multiple cell cycles. Using quantitative time-lapse fluorescence microscopy of Spo0A dynamics in individual cells, we observed pulses of Spo0A phosphorylation at a characteristic cell cycle phase. Pulse amplitudes grew systematically and cell-autonomously over multiple cell cycles leading up to sporulation. This pulse growth required a key positive feedback loop involving the sporulation kinases, without which the deferral of sporulation became ultrasensitive to kinase expression. Thus, deferral is controlled by a pulsed positive feedback loop in which kinase expression is activated by pulses of Spo0A phosphorylation. This pulsed positive feedback architecture provides a more robust mechanism for setting deferral times than constitutive kinase expression. Finally, using mathematical modeling, we show how pulsing and time delays together enable \"polyphasic\" positive feedback, in which different parts of a feedback loop are active at different times. Polyphasic feedback can enable more accurate tuning of long deferral times. Together, these results suggest that Bacillus subtilis uses a pulsed positive feedback loop to implement a \"timer\" that operates over timescales much longer than a cell cycle.",
        "doi": "10.1371/journal.pbio.1001252",
        "pmcid": "PMC3269414",
        "issn": "1544-9173",
        "publisher": "Public Library of Science",
        "publication": "PLoS Biology",
        "publication_date": "2012-01",
        "series_number": "1",
        "volume": "10",
        "issue": "1",
        "pages": "e1001252"
    },
    {
        "id": "authors:wgetd-z1b37",
        "collection": "authors",
        "collection_id": "wgetd-z1b37",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20120203-102759226",
        "type": "article",
        "title": "Following evolution of bacterial antibiotic resistance in real time",
        "author": [
            {
                "family_name": "Rosenthal",
                "given_name": "Adam Z.",
                "orcid": "0000-0002-6936-3665",
                "clpid": "Rosenthal-Adam-Z"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A new study reports the development of the 'morbidostat', a device that allows for continuous culture of bacteria under a constant drug selection pressure using computer feedback control of antibiotic concentration. This device, together with bacterial whole-genome sequencing, allowed the authors to follow the evolution of resistance-conferring mutations in Escherichia coli populations in real time, providing support for deterministic evolution of resistance in some situations.",
        "doi": "10.1038/ng.1048",
        "issn": "1061-4036",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Genetics",
        "publication_date": "2012-01",
        "series_number": "1",
        "volume": "44",
        "issue": "1",
        "pages": "11-13"
    },
    {
        "id": "authors:sgw2z-4a022",
        "collection": "authors",
        "collection_id": "sgw2z-4a022",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20111116-082912789",
        "type": "article",
        "title": "Stochastic Pulse Regulation in Bacterial Stress Response",
        "author": [
            {
                "family_name": "Locke",
                "given_name": "James C. W.",
                "clpid": "Locke-J-C-W"
            },
            {
                "family_name": "Young",
                "given_name": "Jonathan W.",
                "clpid": "Young-J-W"
            },
            {
                "family_name": "Fontes",
                "given_name": "Michelle",
                "clpid": "Fontes-M"
            },
            {
                "family_name": "Hern\u00e1ndez Jim\u00e9nez",
                "given_name": "Mar\u00eda Jes\u03cds",
                "clpid": "Hern\u00e1ndez-Jim\u00e9nez-M-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Gene regulatory circuits can use dynamic, and even stochastic, strategies to respond to environmental conditions. We examined activation of the general stress response mediated by the alternative sigma factor, \u03c3^B, in individual Bacillus subtilis cells. We observed that energy stress activates \u03c3^B in discrete stochastic pulses, with increasing levels of stress leading to higher pulse frequencies. By perturbing and rewiring the endogenous system, we found that this behavior results from three key features of the \u03c3^B circuit: an ultrasensitive phosphorylation switch; stochasticity (\"noise\"), which activates that switch; and a mixed (positive and negative) transcriptional feedback, which can both amplify a pulse and switch it off. Together, these results show how prokaryotes encode signals using stochastic pulse frequency modulation through a compact regulatory architecture.",
        "doi": "10.1126/science.1208144",
        "pmcid": "PMC4100694",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2011-10-21",
        "series_number": "6054",
        "volume": "334",
        "issue": "6054",
        "pages": "366-369"
    },
    {
        "id": "authors:p5kjq-wec04",
        "collection": "authors",
        "collection_id": "p5kjq-wec04",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20111108-160027564",
        "type": "article",
        "title": "The ePetri dish, an on-chip cell imaging platform based on subpixel perspective sweeping microscopy (SPSM)",
        "author": [
            {
                "family_name": "Zheng",
                "given_name": "Guoan",
                "clpid": "Zheng-Guoan"
            },
            {
                "family_name": "Lee",
                "given_name": "Seung Ah",
                "clpid": "Lee-Seung-Ah"
            },
            {
                "family_name": "Antebi",
                "given_name": "Yaron",
                "clpid": "Antebi-Y"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Yang",
                "given_name": "Changhuei",
                "orcid": "0000-0001-8791-0354",
                "clpid": "Yang-Changhuei"
            }
        ],
        "abstract": "We report a chip-scale lensless wide-field-of-view microscopy imaging technique, subpixel perspective sweeping microscopy, which can render microscopy images of growing or confluent cell cultures autonomously. We demonstrate that this technology can be used to build smart Petri dish platforms, termed ePetri, for cell culture experiments. This technique leverages the recent broad and cheap availability of high performance image sensor chips to provide a low-cost and automated microscopy solution. Unlike the two major classes of lensless microscopy methods, optofluidic microscopy and digital in-line holography microscopy, this new approach is fully capable of working with cell cultures or any samples in which cells may be contiguously connected. With our prototype, we demonstrate the ability to image samples of area 6 mm \u00d7 4 mm at 660-nm resolution. As a further demonstration, we showed that the method can be applied to image color stained cell culture sample and to image and track cell culture growth directly within an incubator. Finally, we showed that this method can track embryonic stem cell differentiations over the entire sensor surface. Smart Petri dish based on this technology can significantly streamline and improve cell culture experiments by cutting down on human labor and contamination risks.",
        "doi": "10.1073/pnas.1110681108",
        "pmcid": "PMC3193234",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2011-10-11",
        "series_number": "41",
        "volume": "108",
        "issue": "41",
        "pages": "16889-16894"
    },
    {
        "id": "authors:acvew-kqv48",
        "collection": "authors",
        "collection_id": "acvew-kqv48",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20111209-090440032",
        "type": "article",
        "title": "Dynamical Consequences of Bandpass Feedback Loops in a Bacterial Phosphorelay",
        "author": [
            {
                "family_name": "Sen",
                "given_name": "Shaunak",
                "orcid": "0000-0002-1412-8633",
                "clpid": "Sen-Shaunak"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Under conditions of nutrient limitation, Bacillus subtilis cells terminally differentiate into a dormant spore state. Progression to sporulation is controlled by a genetic circuit consisting of a phosphorelay embedded in multiple transcriptional feedback loops, which is used to activate the master regulator Spo0A by phosphorylation. These transcriptional regulatory interactions are \"bandpass\"-like, in the sense that activation occurs within a limited band of Spo0A~P concentrations. Additionally, recent results show that the phosphorelay activation occurs in pulses, in a cell-cycle dependent fashion. However, the impact of these pulsed bandpass interactions on the circuit dynamics preceding sporulation remains unclear. In order to address this question, we measured key features of the bandpass interactions at the single-cell level and analyzed them in the context of a simple mathematical model. The model predicted the emergence of a delayed phase shift between the pulsing activity of the different sporulation genes, as well as the existence of a stable state, with elevated Spo0A activity but no sporulation, embedded within the dynamical structure of the system. To test the model, we used time-lapse fluorescence microscopy to measure dynamics of single cells initiating sporulation. We observed the delayed phase shift emerging during the progression to sporulation, while a re-engineering of the sporulation circuit revealed behavior resembling the predicted additional state. These results show that periodically-driven bandpass feedback loops can give rise to complex dynamics in the progression towards sporulation.",
        "doi": "10.1371/journal.pone.0025102",
        "pmcid": "PMC3182994",
        "issn": "1932-6203",
        "publisher": "Public Library of Science",
        "publication": "PLoS ONE",
        "publication_date": "2011-09-29",
        "series_number": "9",
        "volume": "6",
        "issue": "9",
        "pages": "Art. No. e25102"
    },
    {
        "id": "authors:mdr3y-z7k86",
        "collection": "authors",
        "collection_id": "mdr3y-z7k86",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20110921-101054272",
        "type": "article",
        "title": "Synthetic Biology: Integrated Gene Circuits",
        "author": [
            {
                "family_name": "Nandagopal",
                "given_name": "Nagarajan",
                "clpid": "Nandagopal-N"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A major goal of synthetic biology is to develop a deeper understanding of biological design principles from the bottom up, by building circuits and studying their behavior in cells. Investigators initially sought to design circuits \"from scratch\" that functioned as independently as possible from the underlying cellular system. More recently, researchers have begun to develop a new generation of synthetic circuits that integrate more closely with endogenous cellular processes. These approaches are providing fundamental insights into the regulatory architecture, dynamics, and evolution of genetic circuits and enabling new levels of control across diverse biological systems.",
        "doi": "10.1126/science.1207084",
        "pmcid": "PMC4117316",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2011-09-02",
        "series_number": "6047",
        "volume": "333",
        "issue": "6047",
        "pages": "1244-1248"
    },
    {
        "id": "authors:za8bf-a2q74",
        "collection": "authors",
        "collection_id": "za8bf-a2q74",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20110715-110958369",
        "type": "article",
        "title": "Mutual Inactivation of Notch Receptors and Ligands Facilitates Developmental Patterning",
        "author": [
            {
                "family_name": "Sprinzak",
                "given_name": "David",
                "clpid": "Sprinzak-D"
            },
            {
                "family_name": "Lakhanpal",
                "given_name": "Amit",
                "clpid": "Lakhanpal-A"
            },
            {
                "family_name": "LeBon",
                "given_name": "Lauren",
                "clpid": "LeBon-L"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Developmental patterning requires juxtacrine signaling in order to tightly coordinate the fates of neighboring cells. Recent work has shown that Notch and Delta, the canonical metazoan juxtacrine signaling receptor and ligand, mutually inactivate each other in the same cell. This cis-interaction generates mutually exclusive sending and receiving states in individual cells. It generally remains unclear, however, how this mutual inactivation and the resulting switching behavior can impact developmental patterning circuits. Here we address this question using mathematical modeling in the context of two canonical pattern formation processes: boundary formation and lateral inhibition. For boundary formation, in a model motivated by Drosophila wing vein patterning, we find that mutual inactivation allows sharp boundary formation across a broader range of parameters than models lacking mutual inactivation. This model with mutual inactivation also exhibits robustness to correlated gene expression perturbations. For lateral inhibition, we find that mutual inactivation speeds up patterning dynamics, relieves the need for cooperative regulatory interactions, and expands the range of parameter values that permit pattern formation, compared to canonical models. Furthermore, mutual inactivation enables a simple lateral inhibition circuit architecture which requires only a single downstream regulatory step. Both model systems show how mutual inactivation can facilitate robust fine-grained patterning processes that would be difficult to implement without it, by encoding a difference-promoting feedback within the signaling system itself. Together, these results provide a framework for analysis of more complex Notch-dependent developmental systems.",
        "doi": "10.1371/journal.pcbi.1002069",
        "pmcid": "PMC3111533",
        "issn": "1553-734X",
        "publisher": "Public Library of Science",
        "publication": "PLoS Computational Biology",
        "publication_date": "2011-06",
        "series_number": "6",
        "volume": "7",
        "issue": "6",
        "pages": "Art. No. e1002069"
    },
    {
        "id": "authors:xz74s-dk032",
        "collection": "authors",
        "collection_id": "xz74s-dk032",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20110623-101742295",
        "type": "article",
        "title": "Mixed Messages: How Bacteria Resolve Conflicting Signals",
        "author": [
            {
                "family_name": "Young",
                "given_name": "Jonathan W.",
                "clpid": "Young-J-W"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "An elegant new study by Bollenbach and Kishony (2011) in this issue of Molecular Cell shows how bacteria resolve the apparent conflicts created when they face two signals with opposite effects on gene expression.",
        "doi": "10.1016/j.molcel.2011.05.005",
        "pmcid": "PMC4117311",
        "issn": "1097-2765",
        "publisher": "Elsevier",
        "publication": "Molecular Cell",
        "publication_date": "2011-05-20",
        "series_number": "4",
        "volume": "42",
        "issue": "4",
        "pages": "405-406"
    },
    {
        "id": "authors:mdqrq-dqj28",
        "collection": "authors",
        "collection_id": "mdqrq-dqj28",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20101220-102123623",
        "type": "article",
        "title": "Build life to understand it",
        "author": [
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Lim",
                "given_name": "Wendell A.",
                "clpid": "Lim-Wendell-A"
            }
        ],
        "abstract": "Biologists and engineers should work together: synthetic biology reveals how organisms develop and function, argue Michael Elowitz and Wendell A. Lim.",
        "doi": "10.1038/468889a",
        "pmcid": "PMC3068207",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2010-12-16",
        "volume": "468",
        "pages": "889-890"
    },
    {
        "id": "authors:f3ka4-5m529",
        "collection": "authors",
        "collection_id": "f3ka4-5m529",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20101011-132711462",
        "type": "article",
        "title": "A General Mechanism for Network-Dosage Compensation in Gene Circuits",
        "author": [
            {
                "family_name": "Acar",
                "given_name": "Murat",
                "clpid": "Acar-M"
            },
            {
                "family_name": "Pando",
                "given_name": "Bernardo F.",
                "clpid": "Pando-B-F"
            },
            {
                "family_name": "Arnold",
                "given_name": "Frances H.",
                "orcid": "0000-0002-4027-364X",
                "clpid": "Arnold-F-H"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "van Oudenaarden",
                "given_name": "Alexander",
                "clpid": "van-Oudenaarden-A"
            }
        ],
        "abstract": "Coping with variations in network dosage is crucial for maintaining optimal function in gene networks.\nWe explored how network structure facilitates network-level dosage compensation. By using the yeast\ngalactose network as a model, we combinatorially deleted one of the two copies of its four regulatory\ngenes and found that network activity was robust to the change in network dosage. A mathematical\nanalysis revealed that a two-component genetic circuit with elements of opposite regulatory activity\n(activator and inhibitor) constitutes a minimal requirement for network-dosage invariance. Specific\ninteraction topologies and a one-to-one interaction stoichiometry between the activating and inhibiting\nagents were additional essential elements facilitating dosage invariance. This mechanism of network-dosage\ninvariance could represent a general design for gene network structure in cells.",
        "doi": "10.1126/science.1190544",
        "pmcid": "PMC3138731",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2010-09-24",
        "series_number": "5999",
        "volume": "329",
        "issue": "5999",
        "pages": "1656-1660"
    },
    {
        "id": "authors:wt55j-38628",
        "collection": "authors",
        "collection_id": "wt55j-38628",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20100920-101630573",
        "type": "article",
        "title": "Functional roles for noise in genetic circuits",
        "author": [
            {
                "family_name": "Eldar",
                "given_name": "Avigdor",
                "clpid": "Eldar-A"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The genetic circuits that regulate cellular functions are subject to stochastic fluctuations, or 'noise', in the levels of their components. Noise, far from just a nuisance, has begun to be appreciated for its essential role in key cellular activities. Noise functions in both microbial and eukaryotic cells, in multicellular development, and in evolution. It enables coordination of gene expression across large regulons, as well as probabilistic differentiation strategies that function across cell populations. At the longest timescales, noise may facilitate evolutionary transitions. Here we review examples and emerging principles that connect noise, the architecture of the gene circuits in which it is present, and the biological functions it enables. We further indicate some of the important challenges and opportunities going forward.",
        "doi": "10.1038/nature09326",
        "pmcid": "PMC4100692",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2010-09-09",
        "series_number": "7312",
        "volume": "467",
        "issue": "7312",
        "pages": "167-173"
    },
    {
        "id": "authors:zgtj4-3tq26",
        "collection": "authors",
        "collection_id": "zgtj4-3tq26",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20131107-140415442",
        "type": "article",
        "title": "A synthetic three-color scaffold for monitoring genetic regulation and noise",
        "author": [
            {
                "family_name": "Cox",
                "given_name": "Robert Sidney, III",
                "clpid": "Cox-R-S-III"
            },
            {
                "family_name": "Dunlop",
                "given_name": "Mary J.",
                "clpid": "Dunlop-M-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Background: Current methods for analyzing the dynamics of natural regulatory networks, and quantifying\nsynthetic circuit function, are limited by the lack of well-characterized genetic measurement tools. Fluorescent\nreporters have been used to measure dynamic gene expression, but recent attempts to monitor multiple genes\nsimultaneously in single cells have not focused on independent, isolated measurements. Multiple reporters can be\nused to observe interactions between natural genes, or to facilitate the 'debugging' of biologically engineered\ngenetic networks. Using three distinguishable reporter genes in a single cell can reveal information not obtainable\nfrom only one or two reporters. One application of multiple reporters is the use of genetic noise to reveal\nregulatory connections between genes. Experiments in both natural and synthetic systems would benefit from a\nwell-characterized platform for expressing multiple reporter genes and synthetic network components.\nResults: We describe such a plasmid-based platform for the design and optimization of synthetic gene networks,\nand for analysis of endogenous gene networks. This network scaffold consists of three distinguishable fluorescent\nreporter genes controlled by inducible promoters, with conveniently placed restriction sites to make modifications\nstraightforward. We quantitatively characterize the scaffold in Escherichia coli with single-cell fluorescence imaging\nand time-lapse microscopy. The three spectrally distinct reporters allow independent monitoring of genetic\nregulation and analysis of genetic noise. As a novel application of this tool we show that the presence of genetic\nnoise can reveal transcriptional co-regulation due to a hidden factor, and can distinguish constitutive from\nregulated gene expression.\nConclusion: We have constructed a general chassis where three promoters from natural genes or components of\nsynthetic networks can be easily inserted and independently monitored on a single construct using optimized\nfluorescent protein reporters. We have quantitatively characterized the baseline behavior of the chassis so that it\ncan be used to measure dynamic gene regulation and noise. Overall, the system will be useful both for analyzing\nnatural genetic networks and assembling synthetic ones.",
        "doi": "10.1186/1754-1611-4-10",
        "pmcid": "PMC2918530",
        "issn": "1754-1611",
        "publisher": "BioMed Central",
        "publication": "Journal of Biological Engineering",
        "publication_date": "2010-07-21",
        "volume": "4",
        "pages": "Art. No. 10"
    },
    {
        "id": "authors:pgs47-kh709",
        "collection": "authors",
        "collection_id": "pgs47-kh709",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20100526-144631743",
        "type": "article",
        "title": "Cis-interactions between Notch and Delta generate mutually exclusive signalling states",
        "author": [
            {
                "family_name": "Sprinzak",
                "given_name": "David",
                "clpid": "Sprinzak-D"
            },
            {
                "family_name": "Lakhanpal",
                "given_name": "Amit",
                "clpid": "Lakhanpal-A"
            },
            {
                "family_name": "LeBon",
                "given_name": "Lauren",
                "clpid": "LeBon-L"
            },
            {
                "family_name": "Santat",
                "given_name": "Leah A.",
                "clpid": "Santat-L-A"
            },
            {
                "family_name": "Fontes",
                "given_name": "Michelle E.",
                "clpid": "Fontes-M-E"
            },
            {
                "family_name": "Anderson",
                "given_name": "Graham A.",
                "clpid": "Anderson-G-A"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The Notch\u2013Delta signalling pathway allows communication between neighbouring cells during development^1. It has a critical role in the formation of 'fine-grained' patterns, generating distinct cell fates among groups of initially equivalent neighbouring cells and sharply delineating neighbouring regions in developing tissues. The Delta ligand has been shown to have two activities: it transactivates Notch in neighbouring cells and cis-inhibits Notch in its own cell. However, it remains unclear how Notch integrates these two activities and how the resulting system facilitates pattern formation. Here we report the development of a quantitative time-lapse microscopy platform for analysing Notch\u2013Delta signalling dynamics in individual mammalian cells, with the aim of addressing these issues. By controlling both cis- and trans-Delta concentrations, and monitoring the dynamics of a Notch reporter, we measured the combined cis\u2013trans input\u2013output relationship in the Notch\u2013Delta system. The data revealed a striking difference between the responses of Notch to trans- and cis-Delta: whereas the response to trans-Delta is graded, the response to cis-Delta is sharp and occurs at a fixed threshold, independent of trans-Delta. We developed a simple mathematical model that shows how these behaviours emerge from the mutual inactivation of Notch and Delta proteins in the same cell. This interaction generates an ultrasensitive switch between mutually exclusive sending (high Delta/low Notch) and receiving (high Notch/low Delta) signalling states. At the multicellular level, this switch can amplify small differences between neighbouring cells even without transcription-mediated feedback. This Notch\u2013Delta signalling switch facilitates the formation of sharp boundaries and lateral-inhibition patterns in models of development, and provides insight into previously unexplained mutant behaviours.",
        "doi": "10.1038/nature08959",
        "pmcid": "PMC2886601",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2010-05-06",
        "series_number": "7294",
        "volume": "465",
        "issue": "7294",
        "pages": "86-91"
    },
    {
        "id": "authors:36tpr-v6j20",
        "collection": "authors",
        "collection_id": "36tpr-v6j20",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20091125-110115141",
        "type": "article",
        "title": "Architecture-Dependent Noise Discriminates Functionally Analogous Differentiation Circuits",
        "author": [
            {
                "family_name": "\u00c7a\u011fatay",
                "given_name": "Tolga",
                "clpid": "\u00c7a\u011fatay-T"
            },
            {
                "family_name": "Turcotte",
                "given_name": "Marc",
                "clpid": "Turcotte-M"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "S\u00fcel",
                "given_name": "G\u00fcrol M.",
                "clpid": "S\u00fcel-G-M"
            }
        ],
        "abstract": "Gene regulatory circuits with different architectures (patterns of regulatory interactions) can generate similar dynamics. This raises the question of why a particular circuit architecture is selected to implement a given cellular process. To investigate this problem, we compared the Bacillus subtilis circuit that regulates differentiation into the competence state to an engineered circuit with an alternative architecture (SynEx) in silico and in vivo. Time-lapse microscopy measurements showed that SynEx cells generated competence dynamics similar to native cells and reconstituted the physiology of differentiation. However, architectural differences between the circuits altered the dynamic distribution of stochastic fluctuations (noise) during circuit operation. This distinction in noise causes functional differences between the circuits by selectively controlling the timing of competence episodes and response of the system to various DNA concentrations. These results reveal a tradeoff between temporal precision and physiological response range that is controlled by distinct noise characteristics of alternative circuit architectures.",
        "doi": "10.1016/j.cell.2009.07.046",
        "issn": "0092-8674",
        "publisher": "Cell Press",
        "publication": "Cell",
        "publication_date": "2009-10-30",
        "series_number": "3",
        "volume": "139",
        "issue": "3",
        "pages": "512-522"
    },
    {
        "id": "authors:qx9qd-03y84",
        "collection": "authors",
        "collection_id": "qx9qd-03y84",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20090819-114359740",
        "type": "article",
        "title": "Partial penetrance facilitates developmental evolution in bacteria",
        "author": [
            {
                "family_name": "Eldar",
                "given_name": "Avigdor",
                "clpid": "Eldar-A"
            },
            {
                "family_name": "Chary",
                "given_name": "Vasant K.",
                "clpid": "Chary-V-K"
            },
            {
                "family_name": "Xenopoulos",
                "given_name": "Panagiotis",
                "clpid": "Xenopoulos-P"
            },
            {
                "family_name": "Fontes",
                "given_name": "Michelle E.",
                "clpid": "Fontres-M-E"
            },
            {
                "family_name": "Los\u00f3n",
                "given_name": "Oliver C.",
                "clpid": "Los\u00f3n-O-C"
            },
            {
                "family_name": "Dworkin",
                "given_name": "Jonathan",
                "clpid": "Dworkin-J"
            },
            {
                "family_name": "Piggot",
                "given_name": "Patrick J.",
                "clpid": "Piggot-P-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Development normally occurs similarly in all individuals within an isogenic population, but mutations often affect the fates of individual organisms differently. This phenomenon, known as partial penetrance, has been observed in diverse developmental systems. However, it remains unclear how the underlying genetic network specifies the set of possible alternative fates and how the relative frequencies of these fates evolve. Here we identify a stochastic cell fate determination process that operates in Bacillus subtilis sporulation mutants and show how it allows genetic control of the penetrance of multiple fates. Mutations in an intercompartmental signalling process generate a set of discrete alternative fates not observed in wild-type cells, including rare formation of two viable 'twin' spores, rather than one within a single cell. By genetically modulating chromosome replication and septation, we can systematically tune the penetrance of each mutant fate. Furthermore, signalling and replication perturbations synergize to significantly increase the penetrance of twin sporulation. These results suggest a potential pathway for developmental evolution between monosporulation and twin sporulation through states of intermediate twin penetrance. Furthermore, time-lapse microscopy of twin sporulation in wild-type Clostridium oceanicum shows a strong resemblance to twin sporulation in these B. subtilis mutants. Together the results suggest that noise can facilitate developmental evolution by enabling the initial expression of discrete morphological traits at low penetrance, and allowing their stabilization by gradual adjustment of genetic parameters.",
        "doi": "10.1038/nature08150",
        "pmcid": "PMC2716064",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2009-07-23",
        "series_number": "7254",
        "volume": "460",
        "issue": "7254",
        "pages": "510-514"
    },
    {
        "id": "authors:1596c-hmj61",
        "collection": "authors",
        "collection_id": "1596c-hmj61",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-095144359",
        "type": "article",
        "title": "Using movies to analyse gene circuit dynamics in single cells",
        "author": [
            {
                "family_name": "Locke",
                "given_name": "James C. W.",
                "clpid": "Locke-J-C-W"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Many bacterial systems rely on dynamic genetic circuits to control crucial biological processes. A major goal of systems biology is to understand these behaviours in terms of individual genes and their interactions. However, traditional techniques based on population averages 'wash out' crucial dynamics that are either unsynchronized between cells or are driven by fluctuations, or 'noise', in cellular components. Recently, the combination of time-lapse microscopy, quantitative image analysis and fluorescent protein reporters has enabled direct observation of multiple cellular components over time in individual cells. In conjunction with mathematical modelling, these techniques are now providing powerful insights into genetic circuit behaviour in diverse microbial systems.",
        "doi": "10.1038/nrmicro2056",
        "pmcid": "PMC2853934",
        "issn": "1740-1526",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Reviews Microbiology",
        "publication_date": "2009-05",
        "series_number": "5",
        "volume": "7",
        "issue": "5",
        "pages": "383-392"
    },
    {
        "id": "authors:xe98t-9dg72",
        "collection": "authors",
        "collection_id": "xe98t-9dg72",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:DUNng08",
        "type": "article",
        "title": "Regulatory activity revealed by dynamic correlations in gene expression noise",
        "author": [
            {
                "family_name": "Dunlop",
                "given_name": "Mary J.",
                "clpid": "Dunlop-M-J"
            },
            {
                "family_name": "Cox",
                "given_name": "Robert Sidney, III",
                "clpid": "Cox-R-S-III"
            },
            {
                "family_name": "Levine",
                "given_name": "Joseph H.",
                "clpid": "Levine-J-H"
            },
            {
                "family_name": "Murray",
                "given_name": "Richard M.",
                "orcid": "0000-0002-5785-7481",
                "clpid": "Murray-R-M"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Gene regulatory interactions are context dependent, active in some cellular states but not in others. Stochastic fluctuations, or 'noise', in gene expression propagate through active, but not inactive, regulatory links^(1,2). Thus, correlations in gene expression noise could provide a noninvasive means to probe the activity states of regulatory links. However, global, 'extrinsic', noise sources generate correlations even without direct regulatory links. Here we show that single-cell time-lapse microscopy, by revealing time lags due to regulation, can discriminate between active regulatory connections and extrinsic noise. We demonstrate this principle mathematically, using stochastic modeling, and experimentally, using simple synthetic gene circuits. We then use this approach to analyze dynamic noise correlations in the galactose metabolism genes of Escherichia coli. We find that the CRP-GalS-GalE feed-forward loop is inactive in standard conditions but can become active in a GalR mutant. These results show how noise can help analyze the context dependence of regulatory interactions in endogenous gene circuits.",
        "doi": "10.1038/ng.281",
        "pmcid": "PMC2829635",
        "issn": "1061-4036",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Genetics",
        "publication_date": "2008-12",
        "series_number": "12",
        "volume": "40",
        "issue": "12",
        "pages": "1493-1498"
    },
    {
        "id": "authors:5b636-xfq63",
        "collection": "authors",
        "collection_id": "5b636-xfq63",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:CAInat08",
        "type": "article",
        "title": "Frequency-modulated nuclear localization bursts coordinate gene regulation",
        "author": [
            {
                "family_name": "Cai",
                "given_name": "Long",
                "orcid": "0000-0002-7154-5361",
                "clpid": "Cai-Long"
            },
            {
                "family_name": "Dalal",
                "given_name": "Chiraj K.",
                "orcid": "0000-0002-3624-8409",
                "clpid": "Dalal-C-K"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "In yeast, the transcription factor Crz1 is dephosphorylated and translocates into the nucleus in response to extracellular calcium. Here we show, using time-lapse microscopy, that Crz1 exhibits short bursts of nuclear localization (typically lasting 2 min) that occur stochastically in individual cells and propagate to the expression of downstream genes. Strikingly, calcium concentration controls the frequency, but not the duration, of localization bursts. Using an analytic model, we also show that this frequency modulation of bursts ensures proportional expression of multiple target genes across a wide dynamic range of expression levels, independent of promoter characteristics. We experimentally confirm this theory with natural and synthetic Crz1 target promoters. Another stress-response transcription factor, Msn2, exhibits similar, but largely uncorrelated, localization bursts under calcium stress suggesting that frequency-modulation regulation of localization bursts may be a general control strategy used by the cell to coordinate multi-gene responses to external signals.",
        "doi": "10.1038/nature07292",
        "pmcid": "PMC2695983",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2008-09-25",
        "series_number": "7212",
        "volume": "455",
        "issue": "7212",
        "pages": "485-491"
    },
    {
        "id": "authors:pjtw4-8ps83",
        "collection": "authors",
        "collection_id": "pjtw4-8ps83",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:PREpnas08",
        "type": "article",
        "title": "The evolutionary dynamics of the Saccharomyces cerevisiae protein interaction network after duplication",
        "author": [
            {
                "family_name": "Presser",
                "given_name": "Aviva",
                "clpid": "Presser-A"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Kellis",
                "given_name": "Manolis",
                "clpid": "Kellis-M"
            },
            {
                "family_name": "Kishony",
                "given_name": "Roy",
                "clpid": "Kishony-R"
            }
        ],
        "abstract": "Gene duplication is an important mechanism in the evolution of protein interaction networks. Duplications are followed by the gain and loss of interactions, rewiring the network at some unknown rate. Because rewiring is likely to change the distribution of network motifs within the duplicated interaction set, it should be possible to study network rewiring by tracking the evolution of these motifs. We have developed a mathematical framework that, together with duplication data from comparative genomic and proteomic studies, allows us to infer the connectivity of the preduplication network and the changes in connectivity over time. We focused on the whole-genome duplication (WGD) event in Saccharomyces cerevisiae. The model allowed us to predict the frequency of intergene interaction before WGD and the post duplication probabilities of interaction gain and loss. We find that the predicted frequency of self-interactions in the preduplication network is significantly higher than that observed in today's network. This could suggest a structural difference between the modern and ancestral networks, preferential addition or retention of interactions between ohnologs, or selective pressure to preserve duplicates of self-interacting proteins.",
        "doi": "10.1073/pnas.0707293105",
        "pmcid": "PMC2242688",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2008-01-22",
        "series_number": "3",
        "volume": "105",
        "issue": "3",
        "pages": "950-954"
    },
    {
        "id": "authors:jms47-b5592",
        "collection": "authors",
        "collection_id": "jms47-b5592",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-095144474",
        "type": "article",
        "title": "Accurate prediction of gene feedback circuit behavior from component properties",
        "author": [
            {
                "family_name": "Rosenfeld",
                "given_name": "Nitzan",
                "clpid": "Rosenfeld-N"
            },
            {
                "family_name": "Young",
                "given_name": "Jonathan W.",
                "clpid": "Young-J-W"
            },
            {
                "family_name": "Alon",
                "given_name": "Uri",
                "clpid": "Alon-U"
            },
            {
                "family_name": "Swain",
                "given_name": "Peter S.",
                "clpid": "Swain-P-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "A basic assumption underlying synthetic biology is that analysis of genetic circuit elements, such as regulatory proteins and promoters, can be used to understand and predict the behavior of circuits containing those elements. To test this assumption, we used time\u2010lapse fluorescence microscopy to quantitatively analyze two autoregulatory negative feedback circuits. By measuring the gene regulation functions of the corresponding repressor\u2013promoter interactions, we accurately predicted the expression level of the autoregulatory feedback loops, in molecular units. This demonstration that quantitative characterization of regulatory elements can predict the behavior of genetic circuits supports a fundamental requirement of synthetic biology.",
        "doi": "10.1038/msb4100185",
        "pmcid": "PMC2132446",
        "issn": "1744-4292",
        "publisher": "Nature Publishing Group",
        "publication": "Molecular Systems Biology",
        "publication_date": "2007-11-13",
        "volume": "3",
        "pages": "Art. No. 143"
    },
    {
        "id": "authors:q2ge4-8h313",
        "collection": "authors",
        "collection_id": "q2ge4-8h313",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-095144189",
        "type": "article",
        "title": "Programming gene expression with combinatorial promoters",
        "author": [
            {
                "family_name": "Cox",
                "given_name": "Robert Sidney, III",
                "clpid": "Cox-R-S-III"
            },
            {
                "family_name": "Surette",
                "given_name": "Michael G.",
                "clpid": "Surette-M-G"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Promoters control the expression of genes in response to one or more transcription factors (TFs). The architecture of a promoter is the arrangement and type of binding sites within it. To understand natural genetic circuits and to design promoters for synthetic biology, it is essential to understand the relationship between promoter function and architecture. We constructed a combinatorial library of random promoter architectures. We characterized 288 promoters in Escherichia coli, each containing up to three inputs from four different TFs. The library design allowed for multiple \u221210 and \u221235 boxes, and we observed varied promoter strength over five decades. To further analyze the functional repertoire, we defined a representation of promoter function in terms of regulatory range, logic type, and symmetry. Using these results, we identified heuristic rules for programming gene expression with combinatorial promoters.",
        "doi": "10.1038/msb4100187",
        "pmcid": "PMC2132448",
        "issn": "1744-4292",
        "publisher": "Nature Publishing Group",
        "publication": "Molecular Systems Biology",
        "publication_date": "2007-11-13",
        "volume": "3",
        "pages": "Art. No. 145"
    },
    {
        "id": "authors:t1g1s-xgm65",
        "collection": "authors",
        "collection_id": "t1g1s-xgm65",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20141114-080404724",
        "type": "article",
        "title": "Tunability and Noise Dependence in Differentiation Dynamics",
        "author": [
            {
                "family_name": "S\u00fcel",
                "given_name": "G\u00fcrol M.",
                "clpid": "S\u00fcel-G-M"
            },
            {
                "family_name": "Kulkarni",
                "given_name": "Rajan P.",
                "clpid": "Kulkarni-R-P"
            },
            {
                "family_name": "Dworkin",
                "given_name": "Jonathan",
                "clpid": "Dworkin-J"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The dynamic process of differentiation depends on the architecture, quantitative parameters, and noise of underlying genetic circuits. However, it remains unclear how these elements combine to control cellular behavior. We analyzed the probabilistic and transient differentiation of Bacillus subtilis cells into the state of competence. A few key parameters independently tuned the frequency of initiation and the duration of competence episodes and allowed the circuit to access different dynamic regimes, including oscillation. Altering circuit architecture showed that the duration of competence events can be made more precise. We used an experimental method to reduce global cellular noise and showed that noise levels are correlated with frequency of differentiation events. Together, the data reveal a noise-dependent circuit that is remarkably resilient and tunable in terms of its dynamic behavior.",
        "doi": "10.1126/science.1137455",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2007-03-23",
        "series_number": "5819",
        "volume": "315",
        "issue": "5819",
        "pages": "1716-1719"
    },
    {
        "id": "authors:wps75-94303",
        "collection": "authors",
        "collection_id": "wps75-94303",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-123053062",
        "type": "article",
        "title": "A Fluctuation Method to Quantify In Vivo Fluorescence Data",
        "author": [
            {
                "family_name": "Rosenfeld",
                "given_name": "Nitzan",
                "clpid": "Rosenfeld-N"
            },
            {
                "family_name": "Perkins",
                "given_name": "Theodore J.",
                "clpid": "Perkins-T-J"
            },
            {
                "family_name": "Alon",
                "given_name": "Uri",
                "clpid": "Alon-U"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Swain",
                "given_name": "Peter S.",
                "clpid": "Swain-P-S"
            }
        ],
        "abstract": "Quantitative in vivo measurements are essential for developing a predictive understanding of cellular behavior. Here we present a technique that converts observed fluorescence intensities into numbers of molecules. By transiently expressing a fluorescently tagged protein and then following its dilution during growth and division, we observe asymmetric partitioning of fluorescence between daughter cells at each division. Such partition asymmetries are set by the actual numbers of proteins present, and thus provide a means to quantify fluorescence levels. We present a Bayesian algorithm that infers from such data both the fluorescence conversion factor and an estimate of the measurement error. Our algorithm works for arbitrarily sized data sets and handles consistently any missing measurements. We verify the algorithm with extensive simulation and demonstrate its application to experimental data from Escherichia coli. Our technique should provide a quantitative internal calibration to systems biology studies of both synthetic and endogenous cellular networks.",
        "doi": "10.1529/biophysj.105.073098",
        "pmcid": "PMC1483091",
        "issn": "0006-3495",
        "publisher": "Biophysical Society",
        "publication": "Biophysical Journal",
        "publication_date": "2006-07-15",
        "series_number": "2",
        "volume": "91",
        "issue": "2",
        "pages": "759-766"
    },
    {
        "id": "authors:gsagm-5zn04",
        "collection": "authors",
        "collection_id": "gsagm-5zn04",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-150756338",
        "type": "article",
        "title": "An excitable gene regulatory circuit induces transient cellular differentiation",
        "author": [
            {
                "family_name": "S\u00fcel",
                "given_name": "G\u00fcrol M.",
                "clpid": "S\u00fcel-G-M"
            },
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "Liberman",
                "given_name": "Louisa M.",
                "clpid": "Liberman-L-M"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Certain types of cellular differentiation are probabilistic and transient. In such systems individual cells can switch to an alternative state and, after some time, switch back again. In Bacillus subtilis, competence is an example of such a transiently differentiated state associated with the capability for DNA uptake from the environment. Individual genes and proteins underlying differentiation into the competent state have been identified, but it has been unclear how these genes interact dynamically in individual cells to control both spontaneous entry into competence and return to vegetative growth. Here we show that this behaviour can be understood in terms of excitability in the underlying genetic circuit. Using quantitative fluorescence time-lapse microscopy, we directly observed the activities of multiple circuit components simultaneously in individual cells, and analysed the resulting data in terms of a mathematical model. We find that an excitable core module containing positive and negative feedback loops can explain both entry into, and exit from, the competent state. We further tested this model by analysing initiation in sister cells, and by re-engineering the gene circuit to specifically block exit. Excitable dynamics driven by noise naturally generate stochastic and transient responses, thereby providing an ideal mechanism for competence regulation.",
        "doi": "10.1038/nature04588",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2006-03-23",
        "series_number": "7083",
        "volume": "440",
        "issue": "7083",
        "pages": "545-550"
    },
    {
        "id": "authors:csxa2-bn725",
        "collection": "authors",
        "collection_id": "csxa2-bn725",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150325-092313161",
        "type": "article",
        "title": "Reconstruction of genetic circuits",
        "author": [
            {
                "family_name": "Sprinzak",
                "given_name": "David",
                "clpid": "Sprinzak-D"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The complex genetic circuits found in cells are ordinarily studied by analysis of genetic and biochemical perturbations. The inherent modularity of biological components like genes and proteins enables a complementary approach: one can construct and analyse synthetic genetic circuits based on their natural counterparts. Such synthetic circuits can be used as simple in vivo models to explore the relation between the structure and function of a genetic circuit. Here we describe recent progress in this area of synthetic biology, highlighting newly developed genetic components and biological lessons learned from this approach.",
        "doi": "10.1038/nature04335",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2005-11-24",
        "series_number": "7067",
        "volume": "438",
        "issue": "7067",
        "pages": "443-448"
    },
    {
        "id": "authors:8sxst-5nq97",
        "collection": "authors",
        "collection_id": "8sxst-5nq97",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150319-083605488",
        "type": "article",
        "title": "Systems biology: Deviations in mating",
        "author": [
            {
                "family_name": "Eldar",
                "given_name": "Avigdor",
                "clpid": "Eldar-A"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "Why do cells of the same type, grown in the same conditions, look and behave so differently? Studying fluctuations in a well-characterized genetic pathway in yeast hints at how such variation arises.",
        "doi": "10.1038/437631a",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2005-09-29",
        "series_number": "7059",
        "volume": "437",
        "issue": "7059",
        "pages": "631-632"
    },
    {
        "id": "authors:nhf6g-65r79",
        "collection": "authors",
        "collection_id": "nhf6g-65r79",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20141117-154819881",
        "type": "article",
        "title": "Gene Regulation at the Single-Cell Level",
        "author": [
            {
                "family_name": "Rosenfeld",
                "given_name": "Nitzan",
                "clpid": "Rosenfeld-N"
            },
            {
                "family_name": "Young",
                "given_name": "Jonathan W.",
                "clpid": "Young-J-W"
            },
            {
                "family_name": "Alon",
                "given_name": "Uri",
                "clpid": "Alon-U"
            },
            {
                "family_name": "Swain",
                "given_name": "Peter S.",
                "clpid": "Swain-P-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            }
        ],
        "abstract": "The quantitative relation between transcription factor concentrations and the rate of protein production from downstream genes is central to the function of genetic networks. Here we show that this relation, which we call the gene regulation function (GRF), fluctuates dynamically in individual living cells, thereby limiting the accuracy with which transcriptional genetic circuits can transfer signals. Using fluorescent reporter genes and fusion proteins, we characterized the bacteriophage lambda promoter P_R in Escherichia coli. A novel technique based on binomial errors in protein partitioning enabled calibration of in vivo biochemical parameters in molecular units. We found that protein production rates fluctuate over a time scale of about one cell cycle, while intrinsic noise decays rapidly. Thus, biochemical parameters, noise, and slowly varying cellular states together determine the effective single-cell GRF. These results can form a basis for quantitative modeling of natural gene circuits and for design of synthetic ones.",
        "doi": "10.1126/science.1106914",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2005-03-25",
        "series_number": "5717",
        "volume": "307",
        "issue": "5717",
        "pages": "1962-1965"
    },
    {
        "id": "authors:0avf9-tz931",
        "collection": "authors",
        "collection_id": "0avf9-tz931",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:GARpnas04",
        "type": "article",
        "title": "Modeling a synthetic multicellular clock: Repressilators coupled by quorum sensing",
        "author": [
            {
                "family_name": "Garcia-Ojalvo",
                "given_name": "Jordi",
                "clpid": "Garcia-Ojalvo-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Strogatz",
                "given_name": "Steven H.",
                "clpid": "Strogatz-S-H"
            }
        ],
        "abstract": "Diverse biochemical rhythms are generated by thousands of cellular oscillators that somehow manage to operate synchronously. In fields ranging from circadian biology to endocrinology, it remains an exciting challenge to understand how collective rhythms emerge in multicellular structures. Using mathematical and computational modeling, we study the effect of coupling through intercell signaling in a population of Escherichia coli cells expressing a synthetic biological clock. Our results predict that a diverse and noisy community of such genetic oscillators interacting through a quorum-sensing mechanism should self-synchronize in a robust way, leading to a substantially improved global rhythmicity in the system. As such, the particular system of coupled genetic oscillators considered here might be a good candidate to provide the first quantitative example of a synchronization transition in a population of biological oscillators.",
        "doi": "10.1073/pnas.0307095101",
        "pmcid": "PMC503725",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2004-07-27",
        "series_number": "30",
        "volume": "101",
        "issue": "30",
        "pages": "10955-10960"
    },
    {
        "id": "authors:y35w4-qpj73",
        "collection": "authors",
        "collection_id": "y35w4-qpj73",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150408-095048891",
        "type": "article",
        "title": "Dynamics of the p53-Mdm2 feedback loop in individual cells",
        "author": [
            {
                "family_name": "Lahav",
                "given_name": "Galit",
                "clpid": "Lahav-Galit"
            },
            {
                "family_name": "Rosenfeld",
                "given_name": "Nitzan",
                "clpid": "Rosenfeld-Nitzan"
            },
            {
                "family_name": "Sigal",
                "given_name": "Alex",
                "orcid": "0000-0001-8571-2004",
                "clpid": "Sigal-Alex"
            },
            {
                "family_name": "Geva-Zatorsky",
                "given_name": "Naama",
                "clpid": "Geva-Zatorsky-Naama"
            },
            {
                "family_name": "Levine",
                "given_name": "Arnold J.",
                "clpid": "Levine-A-J"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Alon",
                "given_name": "Uri",
                "clpid": "Alon-Uri"
            }
        ],
        "abstract": "The tumor suppressor p53, one of the most intensely investigated proteins, is usually studied by experiments that are averaged over cell populations, potentially masking the dynamic behavior in individual cells. We present a system for following, in individual living cells, the dynamics of p53 and its negative regulator Mdm2 (refs. 1,4\u22127): this system uses functional p53-CFP and Mdm2-YFP fusion proteins and time-lapse fluorescence microscopy. We found that p53 was expressed in a series of discrete pulses after DNA damage. Genetically identical cells had different numbers of pulses: zero, one, two or more. The mean height and duration of each pulse were fixed and did not depend on the amount of DNA damage. The mean number of pulses, however, increased with DNA damage. This approach can be used to study other signaling systems and suggests that the p53-Mdm2 feedback loop generates a 'digital' clock that releases well-timed quanta of p53 until damage is repaired or the cell dies.",
        "doi": "10.1038/ng1293",
        "issn": "1061-4036",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Genetics",
        "publication_date": "2004-02",
        "series_number": "2",
        "volume": "36",
        "issue": "2",
        "pages": "147-150"
    },
    {
        "id": "authors:fcbtb-xyh19",
        "collection": "authors",
        "collection_id": "fcbtb-xyh19",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:OVEpnas03",
        "type": "article",
        "title": "The presence of p53 mutations in human osteosarcomas correlates with high levels of genomic instability",
        "author": [
            {
                "family_name": "Overholtzer",
                "given_name": "Michael",
                "clpid": "Overholtzer-M"
            },
            {
                "family_name": "Rao",
                "given_name": "Pulivarthi H.",
                "clpid": "Rao-P-H"
            },
            {
                "family_name": "Favis",
                "given_name": "Reyna",
                "clpid": "Favis-R"
            },
            {
                "family_name": "Lu",
                "given_name": "Xin-Yan",
                "clpid": "Lu-Xin-Yan"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Barany",
                "given_name": "Francis",
                "clpid": "Barany-F"
            },
            {
                "family_name": "Ladanyi",
                "given_name": "Marc",
                "clpid": "Ladanyi-M"
            },
            {
                "family_name": "Gorlick",
                "given_name": "Richard",
                "clpid": "Gorlick-R"
            },
            {
                "family_name": "Levine",
                "given_name": "Arnold J.",
                "clpid": "Levine-A-J"
            }
        ],
        "abstract": "The p53 gene is a critical tumor suppressor that is inactivated in a majority of cancers. The central role of p53 in response to stresses such as DNA damage, hypoxia, and oncogene activation underlies this high frequency of negative selection during tumorigenic transformation. Mutations in p53 disrupt checkpoint responses to DNA damage and result in the potential for destabilization of the genome. Consistent with this, p53 mutant cells have been shown to accumulate genomic alterations in cell culture, mouse models, and some human tumors. The relationship between p53 mutation and genomic instability in human osteosarcoma is addressed in this report. Similar to some other primary human tumors, the mutation of p53 correlates significantly with the presence of high levels of genomic instability in osteosarcomas. Surprisingly, osteosarcomas harboring an amplification of the HDM2 oncogene, which inhibits the tumor-suppressive properties of p53, do not display high levels of genomic instability. These results demonstrate that the inactivation of p53 in osteosarcomas directly by mutation versus indirectly by HDM2 amplification may have different cellular consequences with respect to the stability of the genome.",
        "doi": "10.1073/pnas.1934852100",
        "pmcid": "PMC208795",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2003-09-30",
        "series_number": "20",
        "volume": "100",
        "issue": "20",
        "pages": "11547-11552"
    },
    {
        "id": "authors:fvem5-cka33",
        "collection": "authors",
        "collection_id": "fvem5-cka33",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-124412749",
        "type": "article",
        "title": "Negative Autoregulation Speeds the Response Times of Transcription Networks",
        "author": [
            {
                "family_name": "Rosenfeld",
                "given_name": "Nitzan",
                "clpid": "Rosenfeld-N"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Alon",
                "given_name": "Uri",
                "clpid": "Alon-U"
            }
        ],
        "abstract": "Cells regulate gene expression using networks of transcription interactions; it is of interest to discover the principles that govern the dynamical behavior of such networks. An important characteristic of these systems is the rise-time: the delay from the initiation of production until half maximal product concentration is reached. Here we employ synthetic gene circuits in Escherichia coli to measure the rise-times of non-self-regulated and of negatively autoregulated transcription units. Non-self-regulated units have a rise-time of one cell-cycle. We demonstrate experimentally that negative autoregulation feedback (also termed autogenous control) reduces the rise-time to about one fifth of a cell-cycle. This agrees with an analytical solution of a mathematical model for negative autoregulation. This may help in understanding the function of negative autoregulation, which appears in over 40% of known transcription factors in E. coli.",
        "doi": "10.1016/s0022-2836(02)00994-4",
        "issn": "0022-2836",
        "publisher": "Elsevier",
        "publication": "Journal of Molecular Biology",
        "publication_date": "2002-11-08",
        "series_number": "5",
        "volume": "323",
        "issue": "5",
        "pages": "785-793"
    },
    {
        "id": "authors:z0ctt-h4446",
        "collection": "authors",
        "collection_id": "z0ctt-h4446",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:SWApnas02",
        "type": "article",
        "title": "Intrinsic and extrinsic contributions to stochasticity in gene expression",
        "author": [
            {
                "family_name": "Swain",
                "given_name": "Peter S.",
                "clpid": "Swain-P-S"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Siggia",
                "given_name": "Eric D.",
                "clpid": "Siggia-E-D"
            }
        ],
        "abstract": "Gene expression is a stochastic, or \"noisy,\" process. This noise comes about in two ways. The inherent stochasticity of biochemical processes such as transcription and translation generates \"intrinsic\" noise. In addition, fluctuations in the amounts or states of other cellular components lead indirectly to variation in the expression of a particular gene and thus represent \"extrinsic\" noise. Here, we show how the total variation in the level of expression of a given gene can be decomposed into its intrinsic and extrinsic components. We demonstrate theoretically that simultaneous measurement of two identical genes per cell enables discrimination of these two types of noise. Analytic expressions for intrinsic noise are given for a model that involves all the major steps in transcription and translation. These expressions give the sensitivity to various parameters, quantify the deviation from Poisson statistics, and provide a way of fitting experiment. Transcription dominates the intrinsic noise when the average number of proteins made per mRNA transcript is greater than similar or equal to 2. Below this number, translational effects also become important. Gene replication and cell division, included in the model, cause protein numbers to tend to a limit cycle. We calculate a general form for the extrinsic noise and illustrate it with the particular case of a single fluctuating extrinsic variable-a repressor protein, which acts on the gene of interest. All results are confirmed by stochastic simulation using plausible parameters for Escherichia coli.",
        "doi": "10.1073/pnas.162041399",
        "pmcid": "PMC130539",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "2002-10-01",
        "series_number": "20",
        "volume": "99",
        "issue": "20",
        "pages": "12795-12800"
    },
    {
        "id": "authors:wsymf-b6c81",
        "collection": "authors",
        "collection_id": "wsymf-b6c81",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-125210088",
        "type": "article",
        "title": "Stochastic Gene Expression in a Single Cell",
        "author": [
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Levine",
                "given_name": "Arnold J.",
                "clpid": "Levine-A-J"
            },
            {
                "family_name": "Siggia",
                "given_name": "Eric D.",
                "orcid": "0000-0001-7482-1854",
                "clpid": "Siggia-E-D"
            },
            {
                "family_name": "Swain",
                "given_name": "Peter S.",
                "clpid": "Swain-P-S"
            }
        ],
        "abstract": "Clonal populations of cells exhibit substantial phenotypic variation. Such heterogeneity can be essential for many biological processes and is conjectured to arise from stochasticity, or noise, in gene expression. We constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated. Both stochasticity inherent in the biochemical process of gene expression (intrinsic noise) and fluctuations in other cellular components (extrinsic noise) contribute substantially to overall variation. Transcription rate, regulatory dynamics, and genetic factors control the amplitude of noise. These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.",
        "doi": "10.1126/science.1070919",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2002-08-16",
        "series_number": "5584",
        "volume": "297",
        "issue": "5584",
        "pages": "1183-1186"
    },
    {
        "id": "authors:cvgm2-s3h66",
        "collection": "authors",
        "collection_id": "cvgm2-s3h66",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-131623929",
        "type": "article",
        "title": "A synthetic oscillatory network of transcriptional regulators",
        "author": [
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Leibler",
                "given_name": "Stanislas",
                "clpid": "Leibler-S"
            }
        ],
        "abstract": "Networks of interacting biomolecules carry out many essential functions in living cells, but the 'design principles' underlying the functioning of such intracellular networks remain poorly understood, despite intensive efforts including quantitative analysis of relatively simple systems. Here we present a complementary approach to this problem: the design and construction of a synthetic network to implement a particular function. We used three transcriptional repressor systems that are not part of any natural biological clock to build an oscillating network, termed the repressilator, in Escherichia coli. The network periodically induces the synthesis of green fluorescent protein as a readout of its state in individual cells. The resulting oscillations, with typical periods of hours, are slower than the cell-division cycle, so the state of the oscillator has to be transmitted from generation to generation. This artificial clock displays noisy behaviour, possibly because of stochastic fluctuations of its components. Such 'rational network design' may lead both to the engineering of new cellular behaviours and to an improved understanding of naturally occurring networks.",
        "doi": "10.1038/35002125",
        "issn": "0028-0836",
        "publisher": "Nature Publishing Group",
        "publication": "Nature",
        "publication_date": "2000-01-20",
        "series_number": "6767",
        "volume": "403",
        "issue": "6767",
        "pages": "335-338"
    },
    {
        "id": "authors:7qfgc-q5698",
        "collection": "authors",
        "collection_id": "7qfgc-q5698",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:ELOjbact99",
        "type": "article",
        "title": "Protein Mobility in the Cytoplasm of Escherichia coli",
        "author": [
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Surette",
                "given_name": "Michael G.",
                "clpid": "Surette-M-G"
            },
            {
                "family_name": "Wolf",
                "given_name": "Pierre-Etienne",
                "clpid": "Wolf-P-E"
            },
            {
                "family_name": "Stock",
                "given_name": "Jeffrey B.",
                "clpid": "Stock-J-B"
            },
            {
                "family_name": "Leibler",
                "given_name": "Stanislas",
                "clpid": "Leibler-S"
            }
        ],
        "abstract": "The rate of protein diffusion in bacterial cytoplasm may constrain a variety of cellular functions and limit the rates of many biochemical reactions in vivo. In this paper, we report noninvasive measurements of the apparent diffusion coefficient of green fluorescent protein (GFP) in the cytoplasm of Escherichia coli. These measurements were made in two ways: by photobleaching of GFP fluorescence and by photoactivation of a red-emitting fluorescent state of GFP (M. B. Elowitz, M. G. Surette, P. E. Wolf, J. Stock, and S. Leibler, Curr. Biol. 7:809-812, 1997). The apparent diffusion coefficient, Da, of GFP in E. coli DH5alpha  was found to be 7.7 \u00b1 2.5 \u00b5m^2/s. A 72-kDa fusion protein composed of GFP and a cytoplasmically localized maltose binding protein domain moves more slowly, with Da of 2.5 \u00b1 0.6 \u00b5m^2/s. In addition, GFP mobility can depend strongly on at least two factors: first, Da is reduced to 3.6 \u00b1 0.7 \u00b5m^2/s at high levels of GFP expression; second, the addition to GFP of a small tag consisting of six histidine residues reduces Da to 4.0 \u00b1 2.0 \u00b5m^2/s. Thus, a single effective cytoplasmic viscosity cannot explain all values of Da reported here. These measurements have implications for the understanding of intracellular biochemical networks.",
        "pmcid": "PMC103549",
        "issn": "0021-9193",
        "publisher": "American Society for Microbiology",
        "publication": "Journal of Bacteriology",
        "publication_date": "1999-01",
        "series_number": "1",
        "volume": "181",
        "issue": "1",
        "pages": "197-203"
    },
    {
        "id": "authors:4f4p8-92f20",
        "collection": "authors",
        "collection_id": "4f4p8-92f20",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:SURpnas98",
        "type": "article",
        "title": "Chromophore-assisted light inactivation and self-organization of microtubules and motors",
        "author": [
            {
                "family_name": "Surrey",
                "given_name": "Thomas",
                "clpid": "Surrey-T"
            },
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Wolf",
                "given_name": "Pierre-Etienne",
                "clpid": "Wolf-P-E"
            },
            {
                "family_name": "Yang",
                "given_name": "Feng",
                "clpid": "Yang-Feng"
            },
            {
                "family_name": "N\u00e9d\u00e9lec",
                "given_name": "Fran\u00e7ois",
                "clpid": "N\u00e9d\u00e9lec-F"
            },
            {
                "family_name": "Shokat",
                "given_name": "Kevan",
                "clpid": "Shokat-K"
            },
            {
                "family_name": "Leibler",
                "given_name": "Stanislas",
                "clpid": "Leibler-S"
            }
        ],
        "abstract": "Chromophore assisted light inactivation (CALI) offers the only method capable of modulating specific protein activities in localized regions and at particular times. Here, we generalize CALI so that it can be applied to a wider range of tasks. Specifically, we show that CALI can work with a genetically inserted epitope tag; we investigate the effectiveness of alternative dyes, especially fluorescein, comparing them with the standard CALI dye, malachite green; and we study the relative efficiencies of pulsed and continuous-wave illumination. We then use fluorescein-labeled hemagglutinin antibody fragments, together with relatively low-power continuous-wave illumination to examine the effectiveness of CALI targeted to kinesin. We show that CALI can destroy kinesin activity in at least two ways: it can either result in the apparent loss of motor activity, or it can cause irreversible attachment of the kinesin enzyme to its microtubule substrate. Finally, we apply this implementation of CALI to an in vine system of motor proteins and microtubules that is capable of self-organized aster formation. In this system, CALI can effectively perturb local structure formation by blocking or reducing the degree of aster formation in chosen regions of the sample, without influencing structure formation elsewhere.",
        "pmcid": "PMC22482",
        "issn": "0027-8424",
        "publisher": "National Academy of Sciences",
        "publication": "Proceedings of the National Academy of Sciences of the United States of America",
        "publication_date": "1998-04-14",
        "series_number": "8",
        "volume": "95",
        "issue": "8",
        "pages": "4293-4298"
    },
    {
        "id": "authors:84cwa-xr056",
        "collection": "authors",
        "collection_id": "84cwa-xr056",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20200428-133426011",
        "type": "article",
        "title": "Photoactivation turns green fluorescent protein red",
        "author": [
            {
                "family_name": "Elowitz",
                "given_name": "Michael B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Surette",
                "given_name": "Michael G.",
                "clpid": "Surette-M-G"
            },
            {
                "family_name": "Wolf",
                "given_name": "Pierre-Etienne",
                "clpid": "Wolf-P-E"
            },
            {
                "family_name": "Stock",
                "given_name": "Jeff",
                "clpid": "Stock-J-B"
            },
            {
                "family_name": "Leibler",
                "given_name": "Stanislas",
                "clpid": "Leibler-S"
            }
        ],
        "abstract": "In the few years since its gene was first cloned, the Aequorea victoria green fluorescent protein (GFP) has become a powerful tool in cell biology, functioning as a marker for gene expression, protein localization and protein dynamics in living cells [1], [2], [3]. GFP variants with improved fluorescence intensity and altered spectral characteristics have been identified, but additional GFP variants are still desirable for multiple labeling experiments, protein interaction studies and improved visibility in some organisms [4]. In particular, long-wavelength (red) fluorescence has remained elusive. Here we describe a red-emitting, green-absorbing fluorescent state of GFP that is generated by photoactivation with blue light. GFP can be switched to its red-emitting state easily with a laser or fluorescence microscope lamp under conditions of low oxygen concentration. This previously unnoticed ability enables regional, non-invasive marking of proteins in vivo. In particular, we report here the use of GFP photoactivation to make the first direct measurements of protein diffusion in the cytoplasm of living bacteria.",
        "doi": "10.1016/s0960-9822(06)00342-3",
        "issn": "0960-9822",
        "publisher": "Cell Press",
        "publication": "Current Biology",
        "publication_date": "1997-10",
        "series_number": "10",
        "volume": "7",
        "issue": "10",
        "pages": "809-812"
    },
    {
        "id": "authors:19eyv-qe119",
        "collection": "authors",
        "collection_id": "19eyv-qe119",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:BOUprl95",
        "type": "article",
        "title": "Spiral Defects in Motility Assays: A Measure of Motor Protein Force",
        "author": [
            {
                "family_name": "Bourdieu",
                "given_name": "L.",
                "clpid": "Bourdieu-L"
            },
            {
                "family_name": "Duke",
                "given_name": "T.",
                "clpid": "Duke-T"
            },
            {
                "family_name": "Elowitz",
                "given_name": "M. B.",
                "orcid": "0000-0002-1221-0967",
                "clpid": "Elowitz-M-B"
            },
            {
                "family_name": "Winkelmann",
                "given_name": "D. A.",
                "clpid": "Winkelmann-D-A"
            },
            {
                "family_name": "Leibler",
                "given_name": "S.",
                "clpid": "Leibler-S"
            },
            {
                "family_name": "Libchaber",
                "given_name": "A.",
                "clpid": "Libchaber-A"
            }
        ],
        "abstract": "In a commonly used motility assay, cytoskeletal filaments are observed as they glide over a surface coated with motor proteins. Defects in the motion frequently interrupt the flow of filaments. Examination of one such defect, in which a filament adopts a spiral form and rotates about a fixed point, provides a simple measure of the force exerted by the motor proteins. We demonstrate the universality of this approach by estimating the elementary forces of both myosin and kinesin.",
        "doi": "10.1103/PhysRevLett.75.176",
        "issn": "0031-9007",
        "publisher": "American Physical Society",
        "publication": "Physical Review Letters",
        "publication_date": "1995-07-03",
        "series_number": "1",
        "volume": "75",
        "issue": "1",
        "pages": "176-179"
    }
]