Bioinformatic analysis and verification of circRNA-miRNA-mRNA regulatory network in polycystic ovary syndrome
10.3760/cma.j.cn101441-20210723-00318
- VernacularTitle:多囊卵巢综合征的circRNA-miRNA-mRNA调控网络生物信息学分析及其验证
- Author:
Liying MA
1
;
Le ZHANG
1
;
Xiaoting XU
1
;
Qian DOU
1
;
Xiaoming FAN
1
;
Yungai XIANG
1
;
Pengfen LI
1
;
Li TAN
1
Author Information
1. 郑州大学第二附属医院生殖医学部，郑州 450014
- Publication Type:Journal Article
- Keywords:
Polycystic ovary syndrome;
Cumulus cells;
Gene expression omnibus
- From:
Chinese Journal of Reproduction and Contraception
2022;42(5):484-489
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To identify the differentially expressed genes, construct circular RNA-microRNA-messenger RNA (cirRNA-miRNA-mRNA) regulatory network, and detect the differentially expressed genes with the clinical samples from patients with polycystic ovary syndrome (PCOS) for further investigating of the mechanisms of pathogenesis and providing novel biomarkers for PCOS, to further explore the pathogenesis of PCOS and provide therapeutic targets.Methods:The software 'R' was used to analyze the data from gene expression omnibus (GEO). The differentially expressed genes (mRNA, miRNA and circRNA) were identified, and the mRNA-miRNA-cirRNA regulatory network was predicted by CircInteractome and Starbase database. The retrospective study was performed based on the PCOS patients in the Department of Reproductive Medicine, the Second Affiliated Hospital of Zhengzhou University during January to December in 2018. The cumulus cells were collected from the PCOS (named PCOS group, n=40) and healthy women (named control group, n=20). Reverse transcription real time quantitative PCR (RT-qPCR) was performed to further detect and verify the differentially expressed genes and the network. Results:Analysis from GEO database identified the differentially expressed genes including 278 mRNAs, 23 miRNAs and 2402 circRNAs in PCOS group compared with non-PCOS group ( P<0.05 and |log 2FC|>0.8); 256 mRNA-miRNA-circRNA regulatory networks were established with the differentially expressed genes including 13 mRNAs, 2 miRNAs and 40 circRNAs from the database analysis. The verification with the clinical samples finally revealed the regulatory networks of mRNA pregnancy-associated plasma protein A (PAPPA)-miRNA (hsa-miR-127-3p)-circRNA (hsa_circ_0086809/hsa_circ_0063556) were associated with PCOS ( P=0.004, P=0.002, P=0.014, P=0.003). Conclusion:The expressions of mRNA (PAPPA), miRNA (hsa-miR-127-3p) and circRNA (hsa_circ_0086809/hsa_circ_0063556) in the cumulus cells and their regulatory networks were associated with PCOS.
