A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.

ABSTRACT: An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and genes encoding drug targets across multiple genotoxic environments. Guided by the strongest signal, we evaluate thousands of TSG-drug combinations in HeLa cells, resulting in networks of conserved synthetic lethal interactions. Analysis of these networks reveals that interaction stability across environments and shared gene function increase the likelihood of observing an interaction in hu

SUBMITTER: Srivas R 

PROVIDER: S-EPMC5209245 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature