Abstract IA16: Systematic mapping and modeling of genetic interaction networks in cancer cells

We have developed a systematic approach to map human genetic networks by combinatorial CRISPR-Cas9 perturbation coupled to robust analysis of growth kinetics. To demonstrate this approach, we targeted all gene pairs among a set of 73 known cancer genes with multiplexed guide RNAs in two cell lines, testing 23,652 combinations. Numerous therapeutically relevant interactions are identified, most private to one cell line. In parallel, we are developing bioinformatic approaches that analyze genetic interactions to construct hierarchical models of cancer pathways. I will discuss means by which these hierarchical models can be used to aggregate and interpret tumor mutations.Citation Format: Trey Ideker. Systematic mapping and modeling of genetic interaction networks in cancer cells [abstract]. In: Proceedings of the AACR Precision Medicine Series: Opportunities and Challenges of Exploiting Synthetic Lethality in Cancer; Jan 4-7, 2017; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2017;16(10 Suppl):Abstract nr IA16.

Source: Molecular Cancer Therapeutics - October 2, 2017 Category: Cancer & Oncology Authors: Ideker, T. Tags: New Technology and Bioinformatics: Oral Presentations - Invited Abstracts Source Type: research