OpenCell: Endogenous tagging for the cartography of human cellular organization

被引：260

作者：

Cho, Nathan H. ^{[1
]}

Cheveralls, Keith C. ^{[1
]}

Brunner, Andreas-David ^{[2
]}

Kim, Kibeom ^{[1
]}

Michaelis, Andre C. ^{[2
]}

Raghavan, Preethi ^{[1
]}

Kobayashi, Hirofumi ^{[1
]}

Savy, Laura ^{[1
]}

Li, Jason Y. ^{[1
]}

Canaj, Hera ^{[1
]}

Kim, James Y. S. ^{[1
]}

Stewart, Edna M. ^{[1
]}

Gnann, Christian ^{[1
,3
]}

McCarthy, Frank ^{[1
]}

Cabrera, Joana P. ^{[1
]}

Brunetti, Rachel M. ^{[4
]}

Chhun, Bryant B. ^{[1
]}

Dingle, Greg ^{[5
]}

Hein, Marco Y. ^{[1
]}

Huang, Bo ^{[1
,4
,6
]}

Mehta, Shalin B. ^{[1
]}

Weissman, Jonathan S. ^{[7
,8
,9
]}

Gomez-Sjoberg, Rafael ^{[1
]}

Itzhak, Daniel N. ^{[1
]}

Royer, Loic A. ^{[1
]}

Mann, Matthias ^{[2
,10
]}

Leonetti, Manuel D. ^{[1
]}

机构：

[1] Chan Zuckerberg Biohub, San Francisco, CA 94158 USA

[2] Max Planck Inst Biochem, Prote & Signal Transduct, Martinsried, Germany

[3] KTH Royal Inst Technol, Sci Life Lab, Sch Engn Sci Chem Biotechnol & Hlth, Stockholm, Sweden

[4] Univ Calif San Francisco, Dept Biochem & Biophys, San Francisco, CA USA

[5] Chan Zuckerberg Initiat, Redwood City, CA USA

[6] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA USA

[7] Howard Hughes Med Inst, Whitehead Inst, Koch Inst, Cambridge, MA USA

[8] MIT, Dept Biol, Cambridge, MA USA

[9] Univ Calif San Francisco, Dept Cellular & Mol Pharmacol, San Francisco, CA USA

[10] Univ Copenhagen, Fac Hlth & Med Sci, NNF Ctr Prot Res, Copenhagen, Denmark

来源：

SCIENCE | 2022年 / 375卷 / 6585期

基金：

日本学术振兴会;

关键词：

BAC TRANSGENEOMICS; PROTEIN EXPRESSION; PHASE-SEPARATION; GLOBAL ANALYSIS; GENE; CLASSIFICATION; PURIFICATION; INTERACTOME; NUCLEUS; ATLAS;

D O I：

10.1126/science.abi6983

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1143 / +

页数：66

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