Circular RNA expression profiling and bioinformatic analysis of cumulus cells in endometriosis infertility patients.
Rongfeng WuJingjing LiJunzui LiXiaohong YanWeidong ZhouChen LingYuanyuan YeQiong-Hua ChenYouzhu LiPublished in: Epigenomics (2020)
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.
Keyphrases
- end stage renal disease
- chronic kidney disease
- ejection fraction
- genome wide
- peritoneal dialysis
- polycystic ovary syndrome
- poor prognosis
- patient reported outcomes
- electronic health record
- insulin resistance
- machine learning
- long non coding rna
- mass spectrometry
- skeletal muscle
- signaling pathway
- patient reported
- artificial intelligence
- endoplasmic reticulum stress