| Literature DB >> 31068700 |
Mahmoud Ghandi1, Franklin W Huang1,2,3, Judit Jané-Valbuena1,2, Gregory V Kryukov1, Christopher C Lo1, E Robert McDonald4, Jordi Barretina4, Ellen T Gelfand1, Craig M Bielski1, Haoxin Li1,2, Kevin Hu1, Alexander Y Andreev-Drakhlin1, Jaegil Kim1, Julian M Hess1, Brian J Haas1, François Aguet1, Barbara A Weir1, Michael V Rothberg1, Brenton R Paolella1, Michael S Lawrence1,5,6,7, Rehan Akbani8, Yiling Lu8, Hong L Tiv9, Prafulla C Gokhale9, Antoine de Weck10, Ali Amin Mansour1, Coyin Oh1, Juliann Shih1, Kevin Hadi11,12, Yanay Rosen1, Jonathan Bistline1, Kavitha Venkatesan4, Anupama Reddy4, Dmitriy Sonkin4,13, Manway Liu4, Joseph Lehar4, Joshua M Korn4, Dale A Porter4, Michael D Jones4, Javad Golji4, Giordano Caponigro4, Jordan E Taylor1, Caitlin M Dunning1, Amanda L Creech1, Allison C Warren1, James M McFarland1, Mahdi Zamanighomi1, Audrey Kauffmann10, Nicolas Stransky1, Marcin Imielinski11,12, Yosef E Maruvka1,5, Andrew D Cherniack1,2, Aviad Tsherniak1, Francisca Vazquez1, Jacob D Jaffe1, Andrew A Lane2, David M Weinstock2, Cory M Johannessen1, Michael P Morrissey4, Frank Stegmeier4, Robert Schlegel4, William C Hahn1,2, Gad Getz1,5,6,7, Gordon B Mills8, Jesse S Boehm1, Todd R Golub1,2,14, Levi A Garraway1,2, William R Sellers15,16.
Abstract
Large panels of comprehensively characterized human cancer models, including the Cancer Cell Line Encyclopedia (CCLE), have provided a rigorous framework with which to study genetic variants, candidate targets, and small-molecule and biological therapeutics and to identify new marker-driven cancer dependencies. To improve our understanding of the molecular features that contribute to cancer phenotypes, including drug responses, here we have expanded the characterizations of cancer cell lines to include genetic, RNA splicing, DNA methylation, histone H3 modification, microRNA expression and reverse-phase protein array data for 1,072 cell lines from individuals of various lineages and ethnicities. Integration of these data with functional characterizations such as drug-sensitivity, short hairpin RNA knockdown and CRISPR-Cas9 knockout data reveals potential targets for cancer drugs and associated biomarkers. Together, this dataset and an accompanying public data portal provide a resource for the acceleration of cancer research using model cancer cell lines.Entities:
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Year: 2019 PMID： 31068700 PMCID： PMC6697103 DOI： 10.1038/s41586-019-1186-3
Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962