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OpenCell: Endogenous tagging for the cartography of human cellular organization
Chan Zuckerberg Biohub, San Francisco, CA 94158 USA..
Chan Zuckerberg Biohub, San Francisco, CA 94158 USA..
Max Planck Inst Biochem, Prote & Signal Transduct, Martinsried, Germany..ORCID iD: 0000-0002-2733-7899
Chan Zuckerberg Biohub, San Francisco, CA 94158 USA..
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2022 (English)In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 375, no 6585, p. 1143-+, article id eabi6983Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
American Association for the Advancement of Science (AAAS) , 2022. Vol. 375, no 6585, p. 1143-+, article id eabi6983
National Category
Cell Biology
Identifiers
URN: urn:nbn:se:kth:diva-310769DOI: 10.1126/science.abi6983ISI: 000770385500055PubMedID: 35271311Scopus ID: 2-s2.0-85126404735OAI: oai:DiVA.org:kth-310769DiVA, id: diva2:1650501
Note

QC 20220407

Available from: 2022-04-07 Created: 2022-04-07 Last updated: 2022-06-25Bibliographically approved

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Gnann, Christian

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