OpenCell: Endogenous tagging for the cartography of human cellular organization
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OpenCell : Endogenous tagging for the cartography of human cellular organization. / Cho, Nathan H.; Cheveralls, Keith C.; Brunner, Andreas David; Kim, Kibeom; Michaelis, André C.; Raghavan, Preethi; Kobayashi, Hirofumi; Savy, Laura; Li, Jason Y.; Canaj, Hera; Kim, James Y.S.; Stewart, Edna M.; Gnann, Christian; McCarthy, Frank; Cabrera, Joana P.; Brunetti, Rachel M.; Chhun, Bryant B.; Dingle, Greg; Hein, Marco Y.; Huang, Bo; Mehta, Shalin B.; Weissman, Jonathan S.; Gómez-Sjöberg, Rafael; Itzhak, Daniel N.; Royer, Loïc A.; Mann, Matthias; Leonetti, Manuel D.
In: Science, Vol. 375, No. 6585, eabi6983, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - OpenCell
T2 - Endogenous tagging for the cartography of human cellular organization
AU - Cho, Nathan H.
AU - Cheveralls, Keith C.
AU - Brunner, Andreas David
AU - Kim, Kibeom
AU - Michaelis, André C.
AU - Raghavan, Preethi
AU - Kobayashi, Hirofumi
AU - Savy, Laura
AU - Li, Jason Y.
AU - Canaj, Hera
AU - Kim, James Y.S.
AU - Stewart, Edna M.
AU - Gnann, Christian
AU - McCarthy, Frank
AU - Cabrera, Joana P.
AU - Brunetti, Rachel M.
AU - Chhun, Bryant B.
AU - Dingle, Greg
AU - Hein, Marco Y.
AU - Huang, Bo
AU - Mehta, Shalin B.
AU - Weissman, Jonathan S.
AU - Gómez-Sjöberg, Rafael
AU - Itzhak, Daniel N.
AU - Royer, Loïc A.
AU - Mann, Matthias
AU - Leonetti, Manuel D.
N1 - Publisher Copyright: © 2022 American Association for the Advancement of Science. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
U2 - 10.1126/science.abi6983
DO - 10.1126/science.abi6983
M3 - Journal article
C2 - 35271311
AN - SCOPUS:85126404735
VL - 375
JO - Science
JF - Science
SN - 0036-8075
IS - 6585
M1 - eabi6983
ER -
ID: 302379254