Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China

作者：Qingfang Li, Yimiao Sang, Qingqing Chen, Bingru Ye, Xiaoqian Zhou, Yimin Zhu · 发表于：Journal of Ovarian Research · 年份：2023 · DOI：10.1186/s13048-023-01223-0 · 被引用次数：9 · 研究领域：Ovarian function and disorders、Reproductive Biology and Fertility、Ovarian cancer diagnosis and treatment

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common reproductive, neuroendocrine, and metabolic disorder in women of reproductive age that affects up to 5-10% of women of reproductive age. The aetiology of follicle development arrest and critical issues regarding the abnormal follicular development in PCOS remain unclear. The present study aims to systematically evaluate granulosa cell whole-transcriptome sequencing data to gain more insights into the transcriptomic landscape and molecular mechanism of PCOS in China. METHODS: In the present study, the microarray datasets GSE138518, GSE168404, GSE193123, GSE138572, GSE95728, and GSE145296 were downloaded from the Gene Expression Omnibus (GEO) database. Subsequently, differential expression analysis was performed on the PCOS and control groups, followed by functional interaction prediction analysis to investigate gene-regulatory circuits in PCOS. Finally, hub genes and their associated ncRNAs were validated by qPCR in human-luteinized granulosa (hGL) cells and were correlated with the clinical characteristics of the patients. RESULTS: A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls. GO and KEGG enrichment analyses indicated that the DEGs were mostly enriched in phospholipid metabolic processes, steroid biosynthesis and inflammation related pathways. In addition, t...