Citing Achilles

Publication Cowley, Weir & Vazquez, et al. Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies. Nature Scientific Data 1, Article number: 140035. September 30, 2014.

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Kim JW, et al. Characterizing genomic alterations in cancer by complementary functional associations. Nat Biotechnol. 2016 May;34(5):539-46. doi: 10.1038/nbt.3527. Epub 2016 Apr 18.

Kryukov, et al. MTAP deletion confers enhanced dependency on the PRMT5 arginine methyltransferase in cancer cells. Science. 2016 Mar 11;351(6278):1214-8. doi: 10.1126/science.aad5214. Epub 2016 Feb 11.

Gannon, et al. Identification of an "Exceptional Responder" Cell Line to MEK1 Inhibition: Clinical Implications for MEK-Targeted Therapy. Mol Cancer Res. 2016 Feb;14(2):207-15. doi: 10.1158/1541-7786.MCR-15-0321. Epub 2015 Nov 18. PMCID: PMC4755909.

Kim KH, et al. SWI/SNF-mutant cancers depend on catalytic and non-catalytic activity of EZH2.. Nat Med. 2015 Dec;21(12):1491-6. doi: 10.1038/nm.3968. Epub 2015 Nov 9.

Pomerantz, et al. The androgen receptor cistrome is extensively reprogrammed in human prostate tumorigenesis.. Nat Genet. 2015 Nov;47(11):1346-51. doi: 10.1038/ng.3419. Epub 2015 Oct 12. PMCID: PMC4707683.

Wilson, et al. Residual complexes containing SMARCA2 (BRM) underlie the oncogenic drive of SMARCA4 (BRG1) mutation. Mol Cell Biol. 2014 Mar;34(6):1136-44. doi: 10.1128/MCB.01372-13. Epub 2014 Jan 13. PMCID: PMC3958034

Helming, et al. ARID1B is a specific vulnerability in ARID1A-mutant cancers. Nat Med. 2014 Mar;20(3):251-4. doi: 10.1038/nm.3480. Epub 2014 Feb 23. PMCID: PMC3954704

Related Projects

GlassThe Cancer Cell Line Encyclopedia provides public access to genomic data, analysis and visualization for about 1000 cell lines.

The Cancer Therapeutics Response Portal enables analyses a genomic cancer cell-line profiling to identify more comprehensively relationships between genetic and lineage features of human cancer cell lines and small-molecule sensitivity.

CTD2 bridges the gap between the enormous volumes of data generated by genomic characterization studies and the ability to use these data for the development of human cancer therapeutics. It specializes in computational and functional genomics approaches critical for translating next-generation sequencing data.


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