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

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 q...

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Autores principales: Rajapakse, Vinodh N., Luna, Augustin, Yamade, Mihoko, Loman, Lisa, Varma, Sudhir, Sunshine, Margot, Iorio, Francesco, Sousa, Fabricio G., Elloumi, Fathi, Aladjem, Mirit I., Thomas, Anish, Sander, Chris, Kohn, Kurt W., Benes, Cyril H., Garnett, Mathew, Reinhold, William C., Pommier, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302245/
https://www.ncbi.nlm.nih.gov/pubmed/30553813
http://dx.doi.org/10.1016/j.isci.2018.11.029
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author Rajapakse, Vinodh N.
Luna, Augustin
Yamade, Mihoko
Loman, Lisa
Varma, Sudhir
Sunshine, Margot
Iorio, Francesco
Sousa, Fabricio G.
Elloumi, Fathi
Aladjem, Mirit I.
Thomas, Anish
Sander, Chris
Kohn, Kurt W.
Benes, Cyril H.
Garnett, Mathew
Reinhold, William C.
Pommier, Yves
author_facet Rajapakse, Vinodh N.
Luna, Augustin
Yamade, Mihoko
Loman, Lisa
Varma, Sudhir
Sunshine, Margot
Iorio, Francesco
Sousa, Fabricio G.
Elloumi, Fathi
Aladjem, Mirit I.
Thomas, Anish
Sander, Chris
Kohn, Kurt W.
Benes, Cyril H.
Garnett, Mathew
Reinhold, William C.
Pommier, Yves
author_sort Rajapakse, Vinodh N.
collection PubMed
description 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.
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spelling pubmed-63022452019-02-13 CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines Rajapakse, Vinodh N. Luna, Augustin Yamade, Mihoko Loman, Lisa Varma, Sudhir Sunshine, Margot Iorio, Francesco Sousa, Fabricio G. Elloumi, Fathi Aladjem, Mirit I. Thomas, Anish Sander, Chris Kohn, Kurt W. Benes, Cyril H. Garnett, Mathew Reinhold, William C. Pommier, Yves iScience Article 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. Elsevier 2018-12-12 /pmc/articles/PMC6302245/ /pubmed/30553813 http://dx.doi.org/10.1016/j.isci.2018.11.029 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Rajapakse, Vinodh N.
Luna, Augustin
Yamade, Mihoko
Loman, Lisa
Varma, Sudhir
Sunshine, Margot
Iorio, Francesco
Sousa, Fabricio G.
Elloumi, Fathi
Aladjem, Mirit I.
Thomas, Anish
Sander, Chris
Kohn, Kurt W.
Benes, Cyril H.
Garnett, Mathew
Reinhold, William C.
Pommier, Yves
CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines
title CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines
title_full CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines
title_fullStr CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines
title_full_unstemmed CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines
title_short CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines
title_sort cellminercdb for integrative cross-database genomics and pharmacogenomics analyses of cancer cell lines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302245/
https://www.ncbi.nlm.nih.gov/pubmed/30553813
http://dx.doi.org/10.1016/j.isci.2018.11.029
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