Precise Characterization of Genetic Interactions in Cancer via Molecular Network Refining Processes.

ABSTRACT: Genetic interactions (GIs), such as the synthetic lethal interaction, are promising therapeutic targets in precision medicine. However, despite extensive efforts to characterize GIs by large-scale perturbation screening, considerable false positives have been reported in multiple studies. We propose a new computational approach for improved precision in GI identification by applying constraints that consider actual biological phenomena. In this study, GIs were characterized by assessing mutation, loss of function, and expression profiles in the DEPMAP database. The expression profiles were used to exclude loss-of-function data for nonexpressed genes in GI characterization. More importantly, the characterized GIs were refined based on Kyoto Encyclopedia of Genes and Genomes (KEGG) or protei

SUBMITTER: Jung J 

PROVIDER: S-EPMC8540220 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature