Unknown

Dataset Information

A network-based phenotype mapping approach to identify genes that modulate drug response phenotypes.


ABSTRACT: To better address the problem of drug resistance during cancer chemotherapy and explore the possibility of manipulating drug response phenotypes, we developed a network-based phenotype mapping approach (P-Map) to identify gene candidates that upon perturbed can alter sensitivity to drugs. We used basal transcriptomics data from a panel of human lymphoblastoid cell lines (LCL) to infer drug response networks (DRNs) that are responsible for conferring response phenotypes for anthracycline and taxane, two common anticancer agents use in clinics. We further tested selected gene candidates that interact with phenotypic differentially expressed genes (PDEGs), which are up-regulated genes in LCL for a given class of drug response phenotype in triple-negative breast cancer (TNBC) cells. Our result

SUBMITTER: Cairns J 

PROVIDER: S-EPMC5107984 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature