Single Cell Gene Co-Expression Network Reveals FECH/CROT Signature as a Prognostic Marker.

ABSTRACT: Aberrant activation of signaling pathways is frequently observed and reported to be associated with the progression and poor prognosis of prostate cancer (PCa). We aimed to identify key biological processes regulated by androgen receptor (AR) using gene co-expression network from single cell resolution. The bimodal index was used to evaluate whether two subpopulations exist among the single cells. Gene expression among single cells revealed averaging pitfalls and bimodality pattern. Weighted gene co-expression network analysis (WGCNA) was used to identify modules of highly correlated genes. Twenty-nine gene modules were identified and AR-regulated modules were screened by significantly overlapping reported androgen induced differentially expressed genes. The biological function "generation

SUBMITTER: Chen X 

PROVIDER: S-EPMC6678878 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature