Large-Scale Profiling of Kinase Dependencies in Cancer Cell Lines.

ABSTRACT: One approach to identifying cancer-specific vulnerabilities and therapeutic targets is to profile genetic dependencies in cancer cell lines. Here, we describe data from a series of siRNA screens that identify the kinase genetic dependencies in 117 cancer cell lines from ten cancer types. By integrating the siRNA screen data with molecular profiling data, including exome sequencing data, we show how vulnerabilities/genetic dependencies that are associated with mutations in specific cancer driver genes can be identified. By integrating additional data sets into this analysis, including protein-protein interaction data, we also demonstrate that the genetic dependencies associated with many cancer driver genes form dense connections on functional interaction networks. We demonstrate the utilit

SUBMITTER: Campbell J 

PROVIDER: S-EPMC4802229 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature