Open AccessIdentification of Three Potential circRNA Biomarkers of Polycystic Ovary Syndrome by Bioinformatics Analysis and Validation
Author(s) -
Pengyu Huang,
Shengrong Du,
Li-Yan Yuan,
Zhiqing Huang,
Haiyan Li,
Gangxin Chen,
Suzhu Chen,
Qingfen Chen,
Lincui Da,
Hang Shi,
Wei Wei,
Lei Yang,
Yan Sun,
Baodong Zheng
Publication year - 2021
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s324126
Subject(s) - competing endogenous rna , kegg , polycystic ovary , computational biology , gene ontology , microrna , bioinformatics , gene , receiver operating characteristic , medicine , biology , gene expression , genetics , downregulation and upregulation , long non coding rna , insulin resistance , insulin
It is well known that circRNAs are closely involved in the progression of various diseases. However, their functions and potential regulatory mechanisms in polycystic ovary syndrome (PCOS) remain largely unknown. In the present study, our aim was to investigate the potential diagnostic value of circRNAs in PCOS.