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Quantitative Proteomics of the Cancer Cell Line Encyclopedia
Author(s) -
David P. Nusinow,
John Szpyt,
Mahmoud Ghandi,
Christopher M. Rose,
E. Robert McDonald,
Marian Kalocsay,
Judit JanéValbuena,
Ellen Gelfand,
Devin K. Schweppe,
Mark P. Jedrychowski,
Javad Golji,
Dale Porter,
Tomáš Rejtar,
Yan Wang,
Gregory V. Kryukov,
Frank Stegmeier,
Brian K. Erickson,
Levi A. Garraway,
William R. Sellers,
Steven P. Gygi
Publication year - 2020
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.12.023
Subject(s) - biology , proteomics , encyclopedia , computational biology , cancer , quantitative proteomics , bioinformatics , genetics , library science , gene , computer science
Proteins are essential agents of biological processes. To date, large-scale profiling of cell line collections including the Cancer Cell Line Encyclopedia (CCLE) has focused primarily on genetic information whereas deep interrogation of the proteome has remained out of reach. Here, we expand the CCLE through quantitative profiling of thousands of proteins by mass spectrometry across 375 cell lines from diverse lineages to reveal information undiscovered by DNA and RNA methods. We observe unexpected correlations within and between pathways that are largely absent from RNA. An analysis of microsatellite instable (MSI) cell lines reveals the dysregulation of specific protein complexes associated with surveillance of mutation and translation. These and other protein complexes were associated with sensitivity to knockdown of several different genes. These data in conjunction with the wider CCLE are a broad resource to explore cellular behavior and facilitate cancer research.

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