LINC01116 promotes proliferation and migration of endometrial stromal cells by targeting FOXP1 via sponging miR‐9‐5p in endometriosis

Liangyi Cui, Silei Chen, Dandan Wang, Qing Yang
Journal of cellular and molecular medicine · 2020 · vol. 25(4) , pp. 2000–2012 · doi:10.1111/jcmm.16039 · PMID:33372387 · PMC7882988 · W3115408500
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LINC01116 promotes endometrial stromal cell proliferation and migration in endometriosis by sponging miR-9-5p to target FOXP1.

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Abstract

Endometriosis is a common multi-factorial gynaecological disease. Recent studies have revealed that long non-coding RNAs (lncRNAs) are involved in the pathogenesis of endometriosis. In the present study, the expression profiles of lncRNAs in 6 pairs of endometriosis ectopic endometrium (ecEM) and eutopic endometrium (euEM) tissues were analysed by RNA sequencing. From the profiles, LINC01116 was found to be up-regulated in ecEM tissues compared to euEM tissues and was verified by quantitative real-time PCR (qRT-PCR). Then, functional experiments demonstrated that LINC01116 promoted the proliferation and migration of ectopic primary endometrial stromal cells (ESCs), while miR-9-5p exerted the opposite effects. Dual-luciferase reporter assays verified that LINC01116 directly sponged miR-9-5p and relieved the suppression of its target, Forkhead box protein P1 (FOXP1). Rescue experiments further demonstrated that LINC01116 could promote proliferation and migration of ESCs by targeting FOXP1 via sponging miR-9-5p. Overall, our study illuminates that LINC01116 promotes the progression of endometriosis through the miR-9-5p/FOXP1 axis. This finding provides a novel therapeutic target for patients with endometriosis.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Forkhead Transcription Factors Gene Expression Regulation MicroRNAs Repressor Proteins RNA Interference Stromal Cells Adult Cell Movement Cell Proliferation Computational Biology Computational Biology Disease Susceptibility Endometriosis Endometriosis Female Forkhead Transcription Factors Gene Expression Profiling High-Throughput Nucleotide Sequencing Humans

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