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Ghandi, MahmoudHuang, Franklin WJane-Valbuena, JuditKryukov, Gregory VLo, Christopher CMcDonald, E Robert 3rdBarretina, JordiGelfand, Ellen TBielski, Craig MLi, HaoxinHu, KevinAndreev-Drakhlin, Alexander YKim, JaegilHess, Julian MHaas, Brian JAguet, FrancoisWeir, Barbara ARothberg, Michael VPaolella, Brenton RLawrence, Michael SAkbani, RehanLu, YilingTiv, Hong LGokhale, Prafulla Cde Weck, AntoineMansour, Ali AminOh, CoyinShih, JuliannHadi, KevinRosen, YanayBistline, JonathanVenkatesan, KavithaReddy, AnupamaSonkin, DmitriyLiu, ManwayLehar, JosephKorn, Joshua MPorter, Dale AJones, Michael DGolji, JavadCaponigro, GiordanoTaylor, Jordan EDunning, Caitlin MCreech, Amanda LWarren, Allison CMcFarland, James MZamanighomi, MahdiKauffmann, AudreyStransky, NicolasImielinski, MarcinMaruvka, Yosef ECherniack, Andrew DTsherniak, AviadVazquez, FranciscaJaffe, Jacob DLane, Andrew AWeinstock, David MJohannessen, Cory MMorrissey, Michael PStegmeier, FrankSchlegel, RobertHahn, William CGetz, GadMills, Gordon BBoehm, Jesse SGolub, Todd RGarraway, Levi ASellers, William RengP30 CA016672/CA/NCI NIH HHS/U24 CA180922/CA/NCI NIH HHS/P50 CA217685/CA/NCI NIH HHS/U24 CA210950/CA/NCI NIH HHS/R21 DA025720/DA/NIDA NIH HHS/U01 CA176058/CA/NCI NIH HHS/U54 CA224068/CA/NCI NIH HHS/R50 CA211461/CA/NCI NIH HHS/R01 CA219943/CA/NCI NIH HHS/R50 CA221675/CA/NCI NIH HHS/P50 CA098258/CA/NCI NIH HHS/U01 CA217842/CA/NCI NIH HHS/U24 CA210949/CA/NCI NIH HHS/R37 CA225191/CA/NCI NIH HHS/Research Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov'tEnglandNature. 2019 May;569(7757):503-508. doi: 10.1038/s41586-019-1186-3. Epub 2019 May 8.
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.
Last updated on 02/17/2021