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CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines.

Authors :
Rajapakse VN
Luna A
Yamade M
Loman L
Varma S
Sunshine M
Iorio F
Sousa FG
Elloumi F
Aladjem MI
Thomas A
Sander C
Kohn KW
Benes CH
Garnett M
Reinhold WC
Pommier Y
Source :
IScience [iScience] 2018 Dec 21; Vol. 10, pp. 247-264. Date of Electronic Publication: 2018 Dec 12.
Publication Year :
2018

Abstract

CellMinerCDB provides a web-based resource (https://discover.nci.nih.gov/cellminercdb/) for integrating multiple forms of pharmacological and genomic analyses, and unifying the richest cancer cell line datasets (the NCI-60, NCI-SCLC, Sanger/MGH GDSC, and Broad CCLE/CTRP). CellMinerCDB enables data queries for genomics and gene regulatory network analyses, and exploration of pharmacogenomic determinants and drug signatures. It leverages overlaps of cell lines and drugs across databases to examine reproducibility and expand pathway analyses. We illustrate the value of CellMinerCDB for elucidating gene expression determinants, such as DNA methylation and copy number variations, and highlight complexities in assessing mutational burden. We demonstrate the value of CellMinerCDB in selecting drugs with reproducible activity, expand on the dominant role of SLFN11 for drug response, and present novel response determinants and genomic signatures for topoisomerase inhibitors and schweinfurthins. We also introduce LIX1L as a gene associated with mesenchymal signature and regulation of cellular migration and invasiveness.<br /> (Published by Elsevier Inc.)

Details

Language :
English
ISSN :
2589-0042
Volume :
10
Database :
MEDLINE
Journal :
IScience
Publication Type :
Academic Journal
Accession number :
30553813
Full Text :
https://doi.org/10.1016/j.isci.2018.11.029