Circular RNA Expression Profiling and Bioinformatic Analysis of Cumulus Cells in Endometriosis Infertility Patients

Epigenomics · 2020 · vol. 12(23) , pp. 2093–2108 · doi:10.2217/epi-2020-0291 · PMID:33090019 · W3093817457
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This study profiled circular RNAs in cumulus cells from endometriosis patients, identifying differentially expressed circRNAs potentially involved in cumulus cell growth and differentiation.

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Abstract

Aim: To explore the circular RNA (circRNA) profile in cumulus cells from endometriosis-associated infertility patients. Methods: The expression of circRNAs was profiled by high-throughput sequencing. Sanger sequencing was performed to identify the backsplicing site. Six candidate circRNAs and their parental genes were measured in 30 samples by quantitative reverse transcription-polymerase chainreaction (qRT-PCR). Bioinformatics analysis was performed to predict the functions. Results: A total of 55 upregulated and 41 downregulated differentially expressed circRNAs were detected. Kyoto Encyclopedia of Genes and Genomes data indicated that these target genes were mainly involved in cumulus cell growth- and differentiation-related pathways. Hsa_circ_0072391, hsa_circ_0007299 and hsa_circ_0057799 were significantly increased, and hsa_circ_001533 was significantly decreased in endometriosis-associated infertility patients. Conclusion: The differentially expressed circRNAs might be potentially involved in pathophysiology of endometriosis-associated infertility.

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Condition tags

endometriosisinfertility

MeSH descriptors

Cumulus Cells Endometriosis Infertility, Female RNA, Circular Adult Computational Biology Endometriosis Endometriosis Female High-Throughput Nucleotide Sequencing Humans Infertility, Female Infertility, Female Young Adult

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