Ontology highlight
ABSTRACT: Background
Synthetic lethal interactions (SLIs) that occur between gene pairs are exploited for cancer therapeutics. Studies in the model eukaryote yeast have identified ~ 550,000 negative genetic interactions that have been extensively studied, leading to characterization of novel pathways and gene functions. This resource can be used to predict SLIs that can be relevant to cancer therapeutics.Methods
We used patient data to identify genes that are down-regulated in breast cancer. InParanoid orthology mapping was performed to identify yeast orthologs of the down-regulated genes and predict their corresponding SLIs in humans. The predicted network graphs were drawn with Cytoscape. CancerRXgene database was used to predict drug response.Results
Harnessing the vast av
SUBMITTER: Kirzinger MWB
PROVIDER: S-EPMC6660958 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature