Quantitative Proteomics of the Cancer Cell Line Encyclopedia.
CCLE
MSI
RNA/Protein correlation
TMT
cancer cell lines
microsatellite instability
protein expression
quantitative proteomics
systems biology
Journal
Cell
ISSN: 1097-4172
Titre abrégé: Cell
Pays: United States
ID NLM: 0413066
Informations de publication
Date de publication:
23 01 2020
23 01 2020
Historique:
received:
05
04
2019
revised:
14
10
2019
accepted:
13
12
2019
entrez:
25
1
2020
pubmed:
25
1
2020
medline:
24
6
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31978347
pii: S0092-8674(19)31385-6
doi: 10.1016/j.cell.2019.12.023
pmc: PMC7339254
mid: NIHMS1569324
pii:
doi:
Substances chimiques
Proteome
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
387-402.e16Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM067945
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
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