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Updated: Jan 24, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
Circular RNA expression profiles and bioinformatics analysis in ovarian endometriosis
Dandan Wang1, Yajuan Luo1, Guangwei Wang1
1Department of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Background:
Circular RNAs (circRNAs) with miRNA response elements (MREs) could function as competing endogenous RNA (ceRNA) in regulating gene expression, thus playing vital roles in pathogenesis and progression of many diseases. However, the function of circRNAs in endometriosis remains unknown. This study was carried to profile the expression patterns of circRNAs in ovarian endometriosis.
Methods:
High throughput RNA-Seq was performed in six paired ectopic and eutopic endometrium tissues (ecEM vs. euEM), followed by quantitative real-time polymerase chain reaction (qRT-PCR) in 30 paired samples. Through bioinformatics prediction, we constructed a circRNA-miRNA -mRNA network and elucidated circRNAs functions by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.
Results:
A total of 146 upregulated and 148 downregulated circRNAs were identified, binding with 2,495 MREs. The qRT-PCR validation results of four upregulated circRNAs matched the RNA-Seq data. The ceRNA network included 48 miRNAs and 296 mRNAs. Functional analysis revealed several important pathways such as MAPK signaling pathway, and PI3K-AKT signaling pathway, which might be associated with the pathogenesis and development of endometriosis.
Conclusion:
Our data suggested that circRNAs are differentially expressed in endometriosis, which might be candidate factors for pathogenesis of this disease and be considered as promising therapeutic targets in the future.
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