异位子宫内膜组织差异miRNAs的生物信息学分析

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Abstract Objective To explore the molecular regulation mechanism of microRNA (miRNA) and its target gene regulatory network in endometriosis (endometriosis) based on bioinformatics analysis, and provide new ideas for the study of pathogenesis and therapeutic targets. Methods Data set GSE105765 on miRNA expression in ectopic endometrial and situ endometrial tissues was downloaded from the public gene chip database GEO, R language software was used to analyze the differentially expressed miRNA and screen out the top six miRNA with differentially expressed miRNA, target genes were predicted by online databases TargetScan, miRWalk, and miRDB, respectively, and the intersection of target genes predicted by the three databases was obtained. DAVID online website was used to conduct gene enrichment analysis for the intersection target genes obtained by GO and KEGG, so as to determine the biological function or pathway that the target genes mainly affect. Protein-protein interaction (PPI) network analysis was performed on the target genes screened by STRING database and Cytoscape software. Results A total of 85 miRNAs with difference expression in ectopic endometrial and situ endometrial tissues were screened out, among which the top six were miR-202-5p, miR-514a-3p, miR-615-3p, miR-202-3p, miR-509-3p, and miR-509-3-5p; there were 43, 194, 2, 598, 209, 556 target gene intersections predicted by three databases; GO and KEGG enrichment analysis showed that the intersection target genes of six miRNAs were closely related to axon transport and glucose metabolism; through PPI network and module analysis, RAC1, EP300, EGFR, and CTNNB1 were screened as the core sites of protein interaction. Conclusion Using bioinformatics found that, compared with in situ endometrial tissues, miRNAs are differentially expressed in ectopic endometrial tissues, and target genes are involved in the regulation of axonal transport and glucose metabolism, providing new evidence for the pathogenesis and therapeutic target of endometriosis.

Key words： Bioinformatics Endometriosis microRNA Target gene

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	MA Lanfang1 CAO Lili1 WU Zhangying2 WANG Juntao1

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MA Lanfang1 CAO Lili1 WU Zhangying2 WANG Juntao1. Bioinformatics analysis of differential miRNAs in ectopic endometrial tissues#br#[J]. 中国医药导报, 2021, 18(36): 81-84,90.

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https://www.yiyaodaobao.com.cn/EN/ OR https://www.yiyaodaobao.com.cn/EN/Y2021/V18/I36/81

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