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

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Free keywords: BAC TRANSGENEOMICS; PROTEIN EXPRESSION; HUMAN INTERACTOME; PHASE-SEPARATION; GLOBAL ANALYSIS; REVEALS; GENE; CLASSIFICATION; PURIFICATION; NUCLEUSScience & Technology - Other Topics;
 Abstract: 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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Language(s): eng - English
 Dates: 2022
 Publication Status: Issued
 Pages: 66
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000770385500055
DOI: 10.1126/science.abi6983
 Degree: -

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Title: Science
  Abbreviation : Science
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Association for the Advancement of Science
Pages: - Volume / Issue: 375 (6585) Sequence Number: eabi6983 Start / End Page: - Identifier: ISSN: 0036-8075
CoNE: https://pure.mpg.de/cone/journals/resource/991042748276600_1