Open AccessTranscription factor-microRNA synergistic regulatory network revealing the mechanism of polycystic ovary syndrome
Author(s) -
HaiYing Liu,
YuLing Huang,
JianQiao Liu,
Qing Huang
Publication year - 2016
Publication title -
molecular medicine reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.727
H-Index - 56
eISSN - 1791-3004
pISSN - 1791-2997
DOI - 10.3892/mmr.2016.5019
Subject(s) - microrna , polycystic ovary , biology , transcription factor , gene regulatory network , mechanism (biology) , microarray analysis techniques , microarray , gene , oncogene , molecular medicine , regulation of gene expression , computational biology , genetics , bioinformatics , cell cycle , gene expression , endocrinology , insulin resistance , philosophy , epistemology , insulin
Polycystic ovary syndrome (PCOS) is the most common type of endocrine disorder, affecting 5‑11% of women of reproductive age worldwide. Transcription factors (TFs) and microRNAs are considered to have crucial roles in the developmental process of several diseases and have synergistic regulatory actions. However, the effects of TFs and microRNAs, and the patterns of their cooperation in the synergistic regulatory network of PCOS, remain to be elucidated. The present study aimed to determine the possible mechanism of PCOS, based on a TF‑microRNA synergistic regulatory network. Initially, the differentially expressed genes (DEGs) in PCOS were identified using microarray data of the GSE34526 dataset. Subsequently, the TFs and microRNAs which regulated the DEGs of PCOS were identified, and a PCOS‑associated TF‑microRNA synergistic regulatory network was constructed. This network included 195 DEGs, 136 TFs and 283 microRNAs, and the DEGs were regulated by TFs and microRNAs. Based on topological and functional enrichment analyses, SP1, mir‑355‑5p and JUN were identified as potentially crucial regulators in the development of PCOS and in characterizing the regulatory mechanism. In conclusion, the TF‑microRNA synergistic regulatory network constructed in the present study provides novel insight on the molecular mechanism of PCOS in the form of synergistic regulated model.