About the lab
Test page
Search
Search results
16 results found
Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma
Garraway L, Widlund H, Rubin M, Getz G, Berger A, Ramaswamy S, Beroukhim R, Milner D, Granter S, Du J, et al. Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma. Nature. 2005;436(7047):117–22.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin A, Kim S, Wilson C, Lehár J, Kryukov G, Sonkin D, et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012;483(7391):603–7.
Pharmacogenomic agreement between two cancer cell line data sets
Cancer Cell Line Encyclopedia Consortium, Genomics of Drug Sensitivity in Cancer Consortium. Pharmacogenomic agreement between two cancer cell line data sets. Nature. 2015;528(7580):84–7.
Quantitative Proteomics of the Cancer Cell Line Encyclopedia
Nusinow D, Szpyt J, Ghandi M, Rose C, McDonald R, Kalocsay M, Jané-Valbuena J, Gelfand E, Schweppe D, Jedrychowski M, et al. Quantitative Proteomics of the Cancer Cell Line Encyclopedia. Cell. 2020;180(2):387–402.e16.
BRAF mutation predicts sensitivity to MEK inhibition
Solit D, Garraway L, Pratilas C, Sawai A, Getz G, Basso A, Ye Q, Lobo J, She Y, Osman I, et al. BRAF mutation predicts sensitivity to MEK inhibition. Nature. 2006;439(7074):358–62.
Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia
Jaffe J, Wang Y, Chan HM, Zhang J, Huether R, Kryukov G, Bhang H- eun, Taylor J, Hu M, Englund N, et al. Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia. Nat Genet. 2013;45(11):1386–91.
Next-generation characterization of the Cancer Cell Line Encyclopedia
Ghandi M, Huang F, Jané-Valbuena J, Kryukov G, Lo C, McDonald R, Barretina J, Gelfand E, Bielski C, Li H, et al. Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature. 2019;569(7757):503–508.
The landscape of cancer cell line metabolism
Li H, Ning S, Ghandi M, Kryukov G, Gopal S, Deik A, Souza A, Pierce K, Keskula P, Hernandez D, et al. The landscape of cancer cell line metabolism. Nat Med. 2019;25(5):850–860.
Tools
Tools for CCLE Data Visualization and Analysis Integrated views of Dependency datasets with Cell line characterizations can be found on the DepMap portal CLiFF - a tool for comparing Difference between groups of cell lines Visualization of CCLE data in cBioPortal