Master Regulators of Signaling Pathways: An Application to the Analysis of Gene Regulation in Breast Cancer.

ABSTRACT: Analysis of gene regulatory networks allows the identification of master transcriptional factors that control specific groups of genes. In this work, we inferred a gene regulatory network from a large dataset of breast cancer samples to identify the master transcriptional factors that control the genes within signal transduction pathways. The focus in a particular subset of relevant genes constitutes an extension of the original Master Regulator Inference Algorithm (MARINa) analysis. This modified version of MARINa utilizes a restricted molecular signature containing genes from the 25 human pathways in KEGG's signal transduction category. Our breast cancer RNAseq expression dataset consists of 881 samples comprising tumors and normal mammary gland tissue. The top 10 master transcriptional

SUBMITTER: Tapia-Carrillo D 

PROVIDER: S-EPMC6902642 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature