دورية أكاديمية
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OpenCell: Endogenous tagging for the cartography of human cellular organization.

التفاصيل البيبلوغرافية
العنوان: OpenCell: Endogenous tagging for the cartography of human cellular organization.
المؤلفون: Cho NH; Chan Zuckerberg Biohub, San Francisco, CA, USA., Cheveralls KC; Chan Zuckerberg Biohub, San Francisco, CA, USA., Brunner AD; Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany., Kim K; Chan Zuckerberg Biohub, San Francisco, CA, USA., Michaelis AC; Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany., Raghavan P; Chan Zuckerberg Biohub, San Francisco, CA, USA., Kobayashi H; Chan Zuckerberg Biohub, San Francisco, CA, USA., Savy L; Chan Zuckerberg Biohub, San Francisco, CA, USA., Li JY; Chan Zuckerberg Biohub, San Francisco, CA, USA., Canaj H; Chan Zuckerberg Biohub, San Francisco, CA, USA., Kim JYS; Chan Zuckerberg Biohub, San Francisco, CA, USA., Stewart EM; Chan Zuckerberg Biohub, San Francisco, CA, USA., Gnann C; Chan Zuckerberg Biohub, San Francisco, CA, USA.; Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden., McCarthy F; Chan Zuckerberg Biohub, San Francisco, CA, USA., Cabrera JP; Chan Zuckerberg Biohub, San Francisco, CA, USA., Brunetti RM; Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA., Chhun BB; Chan Zuckerberg Biohub, San Francisco, CA, USA., Dingle G; Chan Zuckerberg Initiative, Redwood City, CA, USA., Hein MY; Chan Zuckerberg Biohub, San Francisco, CA, USA., Huang B; Chan Zuckerberg Biohub, San Francisco, CA, USA.; Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA.; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA., Mehta SB; Chan Zuckerberg Biohub, San Francisco, CA, USA., Weissman JS; Whitehead Institute, Koch Institute, Howard Hughes Medical Institute, and Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA., Gómez-Sjöberg R; Chan Zuckerberg Biohub, San Francisco, CA, USA., Itzhak DN; Chan Zuckerberg Biohub, San Francisco, CA, USA., Royer LA; Chan Zuckerberg Biohub, San Francisco, CA, USA., Mann M; Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.; NNF Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Leonetti MD; Chan Zuckerberg Biohub, San Francisco, CA, USA.
المصدر: Science (New York, N.Y.) [Science] 2022 Mar 11; Vol. 375 (6585), pp. eabi6983. Date of Electronic Publication: 2022 Mar 11.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE
أسماء مطبوعة: Publication: : Washington, DC : American Association for the Advancement of Science
Original Publication: New York, N.Y. : [s.n.] 1880-
مواضيع طبية MeSH: Protein Interaction Mapping*, Proteins/*metabolism , Proteome/*metabolism , Proteomics/*methods, CRISPR-Cas Systems ; Cluster Analysis ; Datasets as Topic ; Fluorescent Dyes ; HEK293 Cells ; Humans ; Immunoprecipitation ; Machine Learning ; Mass Spectrometry ; Microscopy, Confocal ; RNA-Binding Proteins/metabolism ; Spatial Analysis
مستخلص: Elucidating the wiring diagram of the human cell is a central goal of the postgenomic era. We combined genome engineering, confocal live-cell imaging, mass spectrometry, and data science to systematically map the localization and interactions of human proteins. Our approach provides a data-driven description of the molecular and spatial networks that organize the proteome. Unsupervised clustering of these networks delineates functional communities that facilitate biological discovery. We found that remarkably precise functional information can be derived from protein localization patterns, which often contain enough information to identify molecular interactions, and that RNA binding proteins form a specific subgroup defined by unique interaction and localization properties. Paired with a fully interactive website (opencell.czbiohub.org), our work constitutes a resource for the quantitative cartography of human cellular organization.
التعليقات: Comment in: Science. 2022 Mar 11;375(6585):1093-1094. (PMID: 35271323)
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معلومات مُعتمدة: F31 HL143882 United States HL NHLBI NIH HHS; R01 GM131641 United States GM NIGMS NIH HHS; RM1 HG009490 United States HG NHGRI NIH HHS; United States HHMI Howard Hughes Medical Institute
المشرفين على المادة: 0 (Fluorescent Dyes)
0 (Proteins)
0 (Proteome)
0 (RNA-Binding Proteins)
تواريخ الأحداث: Date Created: 20220310 Date Completed: 20220323 Latest Revision: 20220912
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC9119736
DOI: 10.1126/science.abi6983
PMID: 35271311
قاعدة البيانات: MEDLINE
الوصف
تدمد:1095-9203
DOI:10.1126/science.abi6983