{"title":"Combination of circular RNA-miRNA-mRNA expression profiles and bioinformatic analysis in ovarian endometriosis","authors":"Xiaoli Li , Ding Cui , Yang Liu","doi":"10.1016/j.ygeno.2025.111112","DOIUrl":null,"url":null,"abstract":"<div><div>Endometriosis is a mysterious disease that affects 5 %–10 % of the women of reproductive age. Circular RNAs (circRNAs), a type of noncoding RNA, are involved in its progression, yet their regulatory mechanisms via integrated circRNA–miRNA–mRNA networks remain poorly studied. We profiled circRNAs, miRNAs, and mRNAs expression in paired eutopic and ectopic endometrium from patients with ovarian endometriosis. Differential expression analysis revealed 325 circRNAs, 295 miRNAs, and 4605 mRNAs. Using bioinformatic predictions and negative correlation analysis, we constructed a ceRNA network comprising 134 circRNAs, 72 miRNAs, and 107 mRNAs. Moreover, we identified hsa_circ_0005918/miR-504-5p/<em>PDLIM2</em> and hsa_circ_0005918/miR-105-5p/<em>OBSL1</em> as crucial regulatory axes in endometriosis. Functional experiments confirmed that hsa_circ_0005918 promotes cells migration and invasion by sponging miR-504-5p and miR-105-5p, upregulating <em>PDLIM2</em> and <em>OBSL1,</em> which may consequently contribute to the progression of endometriotic lesions. Our constructed network presents robust credibility, facilitating the exploration of complex mechanisms of circRNAs in endometriosis.</div></div>","PeriodicalId":12521,"journal":{"name":"Genomics","volume":"117 6","pages":"Article 111112"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888754325001284","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Endometriosis is a mysterious disease that affects 5 %–10 % of the women of reproductive age. Circular RNAs (circRNAs), a type of noncoding RNA, are involved in its progression, yet their regulatory mechanisms via integrated circRNA–miRNA–mRNA networks remain poorly studied. We profiled circRNAs, miRNAs, and mRNAs expression in paired eutopic and ectopic endometrium from patients with ovarian endometriosis. Differential expression analysis revealed 325 circRNAs, 295 miRNAs, and 4605 mRNAs. Using bioinformatic predictions and negative correlation analysis, we constructed a ceRNA network comprising 134 circRNAs, 72 miRNAs, and 107 mRNAs. Moreover, we identified hsa_circ_0005918/miR-504-5p/PDLIM2 and hsa_circ_0005918/miR-105-5p/OBSL1 as crucial regulatory axes in endometriosis. Functional experiments confirmed that hsa_circ_0005918 promotes cells migration and invasion by sponging miR-504-5p and miR-105-5p, upregulating PDLIM2 and OBSL1, which may consequently contribute to the progression of endometriotic lesions. Our constructed network presents robust credibility, facilitating the exploration of complex mechanisms of circRNAs in endometriosis.
期刊介绍:
Genomics is a forum for describing the development of genome-scale technologies and their application to all areas of biological investigation.
As a journal that has evolved with the field that carries its name, Genomics focuses on the development and application of cutting-edge methods, addressing fundamental questions with potential interest to a wide audience. Our aim is to publish the highest quality research and to provide authors with rapid, fair and accurate review and publication of manuscripts falling within our scope.