Novel Hub genes co-expression network mediates dysfunction in a model of polycystic ovary syndrome.

ABSTRACT:

Background

This study aimed to integrate DNA methylation, miRNA, and mRNA microarray data to construct a gene co-expression network for polycystic ovarian syndrome (PCOS).

Methods

The weighted gene co-expression network analysis (WGCNA) was conducted to construct a PCOS-related co-expression network by using the GEO public datasets. We performed Gene Ontology and KEGG pathway enrichment analyses for a further exploration of gene function in networks. Finally, the dysfunction module consisting of a co-expression network was mapped to the PCOS patients and tried to provide guidance to the PCOS phenotyping.

Results

Three modules (Midnightbule, Pink, and Red) were identified to be PCOS-related by WGCNA analysis. These module-related genes were enriched in cell response to

SUBMITTER: Xi S 

PROVIDER: S-EPMC8991170 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature