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Updated: May 10, 2025
Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
Circular RNAs in endometriosis analyzed through RNA sequencing and bioinformatics for expression profile
Yan Yue1, Jing Qian1, Dandan Gui1
1Department of Gynecology, The First People's Hospital of Wuhu, Wuhu, China.
Background:
Endometriosis severely affects women's physical and mental health; it is particularly important to find targets for the treatment and diagnosis of endometriosis.
Method:
This research aimed to investigate the circRNA expression pattern in endometriosis, a type of non-coding RNA that can modulate parental gene expression by acting as miRNA sponges. Through high-throughput sequencing, we analyzed the circRNA expression profile in endometriosis patients in comparison to individuals without the condition.
Results:
We detected 371 circular RNAs (circRNAs) showing increased expression and 308 circRNAs displaying decreased expression levels. To validate these findings, we employed quantitative real-time PCR (qRT-PCR) to confirm the expression of the top three differential expressed circRNAs listed in circBase. We inferred potential roles of these differentially expressed circRNAs in endometriosis development by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Moreover, by examining the circRNA-microRNA-target gene network, we uncovered a plausible mechanism. Specifically, interactions involving the markedly upregulated hsa_circ_000005 and significantly downregulated hsa_circ_000011 with miR-5787 may influence downstream targets, potentially contributing to the pathogenesis of endometriosis. Our study offers a foundational and crucial circRNA expression profile within the framework of endometriosis.
Insights
This study identified distinct circular RNA (circRNA) expression patterns in endometriosis, revealing potential diagnostic and therapeutic targets. Researchers found numerous differentially expressed circRNAs, including specific interactions that may drive disease development.
Area of Science:
- Molecular Biology
- Genomics
- RNA Biology
Background:
- Endometriosis significantly impacts women's health, necessitating novel diagnostic and therapeutic targets.
- Circular RNAs (circRNAs) are non-coding RNAs with regulatory roles, implicated in various diseases.
Purpose of the Study:
- To investigate the circRNA expression profile in endometriosis.
- To identify potential circRNA biomarkers and understand their role in endometriosis pathogenesis.
Main Methods:
- High-throughput sequencing to analyze circRNA expression in endometriosis patients versus controls.
- Quantitative real-time PCR (qRT-PCR) for validation of differentially expressed circRNAs.
- Bioinformatic analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and circRNA-microRNA-target gene network construction.
Main Results:
- Identified 371 upregulated and 308 downregulated circRNAs in endometriosis.
- Validated the expression of top differentially expressed circRNAs using qRT-PCR.
- Uncovered potential pathogenic mechanisms involving circRNA-microRNA interactions, such as hsa_circ_000005 and hsa_circ_000011 with miR-5787.
Conclusions:
- This study provides a foundational circRNA expression profile for endometriosis.
- Identified circRNAs and their regulatory networks offer potential targets for endometriosis diagnosis and treatment.
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