Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines.
Biological Sciences
Cancer Systems Biology
Proteomics
Systems Biology
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
22 Nov 2019
22 Nov 2019
Historique:
received:
11
10
2019
revised:
21
10
2019
accepted:
28
10
2019
pubmed:
17
11
2019
medline:
17
11
2019
entrez:
17
11
2019
Statut:
ppublish
Résumé
Here we describe a proteomic data resource for the NCI-60 cell lines generated by pressure cycling technology and SWATH mass spectrometry. We developed the DIA-expert software to curate and visualize the SWATH data, leading to reproducible detection of over 3,100 SwissProt proteotypic proteins and systematic quantification of pathway activities. Stoichiometric relationships of interacting proteins for DNA replication, repair, the chromatin remodeling NuRD complex, β-catenin, RNA metabolism, and prefoldins are more evident than that at the mRNA level. The data are available in CellMiner (discover.nci.nih.gov/cellminercdb and discover.nci.nih.gov/cellminer), allowing casual users to test hypotheses and perform integrative, cross-database analyses of multi-omic drug response correlations for over 20,000 drugs. We demonstrate the value of proteome data in predicting drug response for over 240 clinically relevant chemotherapeutic and targeted therapies. In summary, we present a novel proteome resource for the NCI-60, together with relevant software tools, and demonstrate the benefit of proteome analyses.
Identifiants
pubmed: 31733513
pii: S2589-0042(19)30440-7
doi: 10.1016/j.isci.2019.10.059
pmc: PMC6889472
pii:
doi:
Types de publication
Journal Article
Langues
eng
Pagination
664-680Subventions
Organisme : Wellcome Trust
ID : 102696
Pays : United Kingdom
Informations de copyright
Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.
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