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Identification of critical miRNAs and mRNAs associated with polycystic ovary syndrome
Author(s) -
Diao Xinghua,
Yao Lijuan,
Wang Yanlin,
Zhang Xianghui,
Sun Hongliang,
Lao Kaixue,
Ma He
Publication year - 2021
Publication title -
journal of obstetrics and gynaecology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 50
eISSN - 1447-0756
pISSN - 1341-8076
DOI - 10.1111/jog.14707
Subject(s) - polycystic ovary , kegg , microrna , real time polymerase chain reaction , medicine , messenger rna , computational biology , identification (biology) , bioinformatics , gene expression , biology , gene , genetics , transcriptome , insulin , insulin resistance , botany
Aim Polycystic ovary syndrome (PCOS) is a complicated endocrine and metabolic abnormality diseases common in women of child‐bearing age. This study aims to screen out critical miRNAs and mRNAs associated with PCOS, which may be conducive to offer novel insights and treatment for the diseases. Methods Three mRNA datasets and one miRNA dataset derived from granulosa cells of patients with PCOS and normal controls were downloaded to obtain the differentially expressed mRNAs (DEmRNAs) and miRNAs (DEmiRNAs). Then, DEmiRNA‐target DEmRNAs analysis and functional annotation of DEmiRNA‐target DEmRNAs were performed. Quantitative real time polymerase chain reaction (qRT‐PCR) validation of the expression of the selected DEmRNAs and DEmiRNAs were performed. Results A total of 1643 DEmRNAs, 88 DEmiRNAs, 2406 DEmiRNA (down)‐DEmRNA (up), and 2179 DEmiRNA (up)‐DEmRNA (down) pairs were obtained. The functional annotation of DEmiRNA‐target DEmRNAs revealed that C‐type lectin receptor signaling pathway, Steroid biosynthesis and Galactose metabolism were significantly enriched KEGG pathways. Conclusion These findings may provide make contribution to understanding PCOS pathogenesis, diagnosis, or treatment.