TY - JOUR
T1 - Global proteome analysis of the NCI-60 cell line panel
AU - Gholami, Amin Moghaddas
AU - Hahne, Hannes
AU - Wu, Zhixiang
AU - Auer, Florian Johann
AU - Meng, Chen
AU - Wilhelm, Mathias
AU - Kuster, Bernhard
PY - 2013
Y1 - 2013
N2 - The NCI-60 cell line collection is a very widely used panel for the study of cellular mechanisms of cancer in general and invitro drug action in particular. It is a model system for the tissue types and genetic diversity of human cancers and has been extensively molecularly characterized. Here, we present a quantitative proteome and kinome profile of the NCI-60 panel covering, in total, 10,350 proteins (including 375 protein kinases) and including a core cancer proteome of 5,578 proteins that were consistently quantified across all tissue types. Bioinformatic analysis revealed strong cell line clusters according to tissue type and disclosed hundreds of differentially regulated proteins representing potential biomarkers for numerous tumor properties. Integration with public transcriptome data showed considerable similarity between mRNA and protein expression. Modeling of proteome and drug-response profiles for 108 FDA-approved drugs identified known and potential protein markers for drug sensitivity and resistance. To enable community access to this unique resource, we incorporated it into a public database for comparative and integrative analysis (. http://wzw.tum.de/proteomics/nci60)
AB - The NCI-60 cell line collection is a very widely used panel for the study of cellular mechanisms of cancer in general and invitro drug action in particular. It is a model system for the tissue types and genetic diversity of human cancers and has been extensively molecularly characterized. Here, we present a quantitative proteome and kinome profile of the NCI-60 panel covering, in total, 10,350 proteins (including 375 protein kinases) and including a core cancer proteome of 5,578 proteins that were consistently quantified across all tissue types. Bioinformatic analysis revealed strong cell line clusters according to tissue type and disclosed hundreds of differentially regulated proteins representing potential biomarkers for numerous tumor properties. Integration with public transcriptome data showed considerable similarity between mRNA and protein expression. Modeling of proteome and drug-response profiles for 108 FDA-approved drugs identified known and potential protein markers for drug sensitivity and resistance. To enable community access to this unique resource, we incorporated it into a public database for comparative and integrative analysis (. http://wzw.tum.de/proteomics/nci60)
UR - http://www.scopus.com/inward/record.url?scp=84881613658&partnerID=8YFLogxK
U2 - 10.1016/j.celrep.2013.07.018
DO - 10.1016/j.celrep.2013.07.018
M3 - Article
C2 - 23933261
AN - SCOPUS:84881613658
SN - 2211-1247
VL - 4
SP - 609
EP - 620
JO - Cell Reports
JF - Cell Reports
IS - 3
ER -