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  OpenCell: Endogenous tagging for the cartography of human cellular organization

Cho, N. H., Cheveralls, K. C., Brunner, A.-D., Kim, K., Michaelis, A. C., Raghavan, P., et al. (2022). OpenCell: Endogenous tagging for the cartography of human cellular organization. Science, 375(6585): eabi6983. doi:10.1126/science.abi6983.

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© 2022 The Authors

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 Urheber:
Cho, Nathan H.1, Autor
Cheveralls, Keith C.1, Autor
Brunner, Andreas-David2, Autor           
Kim, Kibeom1, Autor
Michaelis, Andre C.2, Autor           
Raghavan, Preethi1, Autor
Kobayashi, Hirofumi1, Autor
Savy, Laura1, Autor
Li, Jason Y.1, Autor
Canaj, Hera1, Autor
Kim, James Y. S.1, Autor
Stewart, Edna M.1, Autor
Gnann, Christian1, Autor
McCarthy, Frank1, Autor
Cabrera, Joana P.1, Autor
Brunetti, Rachel M.1, Autor
Chhun, Bryant B.1, Autor
Dingle, Greg1, Autor
Hein, Marco Y.1, Autor
Huang, Bo1, Autor
Mehta, Shalin B.1, AutorWeissman, Jonathan S.1, AutorGomez-Sjoberg, Rafael1, AutorItzhak, Daniel N.1, AutorRoyer, Loic A.1, AutorMann, Matthias2, Autor           Leonetti, Manuel D.1, Autor mehr..
Affiliations:
1external, ou_persistent22              
2Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              

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Schlagwörter: BAC TRANSGENEOMICS; PROTEIN EXPRESSION; HUMAN INTERACTOME; PHASE-SEPARATION; GLOBAL ANALYSIS; REVEALS; GENE; CLASSIFICATION; PURIFICATION; NUCLEUSScience & Technology - Other Topics;
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2022
 Publikationsstatus: Erschienen
 Seiten: 66
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISI: 000770385500055
DOI: 10.1126/science.abi6983
 Art des Abschluß: -

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Titel: Science
  Kurztitel : Science
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Washington, D.C. : American Association for the Advancement of Science
Seiten: - Band / Heft: 375 (6585) Artikelnummer: eabi6983 Start- / Endseite: - Identifikator: ISSN: 0036-8075
CoNE: https://pure.mpg.de/cone/journals/resource/991042748276600_1