Journal
SCIENCE
Volume 375, Issue 6585, Pages 1143-+Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.abi6983
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Funding
- International Research Fellowship from the Japan Society for the Promotion of Science
- NIH predoctoral fellowship [F31 HL143882]
- NIH [1RM1HG009490, R01GM131641]
- Max Planck Society for the Advancement of Science award
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This article introduces a method that uses various techniques to systematically map the localization and interactions of human proteins, and discovers the rich functional information contained in protein localization patterns.
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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