Identification of circRNA-miRNA-mRNA Regulatory Network and Autophagy Interaction Network in Atrial Fibrillation Based on Bioinformatics Analysis
Xiaoying Chao,1,* Weiran Dai,1,* Shuo Li,1 Chenyang Jiang,1 Zhiyuan Jiang,2 Guoqiang Zhong1 1Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China; 2Hypertension Division, The First Affiliated Hospital of G...
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| Formato: | article |
| Lenguaje: | EN |
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Dove Medical Press
2021
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| Acceso en línea: | https://doaj.org/article/21f6bbb13103425bb2353e55cbd9cce7 |
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| Sumario: | Xiaoying Chao,1,* Weiran Dai,1,* Shuo Li,1 Chenyang Jiang,1 Zhiyuan Jiang,2 Guoqiang Zhong1 1Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China; 2Hypertension Division, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guoqiang ZhongDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People’s Republic of ChinaTel +86 13978635329Email drguoqiang@sina.comZhiyuan JiangHypertension Division, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People’s Republic of ChinaTel +86 13597006702Email drjzy123@sina.comBackground: Circular RNA (circRNA) has been receiving increased attention in the research of atrial fibrillation (AF). Our study aims to find potential circRNAs and identify the circRNA-miRNA-mRNA regulatory network in AF based on bioinformatics analysis.Methods: GSE129409 was retrieved from the Gene Expression Omnibus (GEO) database, and we used R software to analyze the differentially expressed circRNAs (DECs). Subsequently, we used several bioinformatics methods to obtain the target miRNAs and the target genes. Next, we performed Gene Ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the target genes. Then, we used Cytoscape 3.8.2 software to visualize and construct the circRNA-miRNA-mRNA regulatory network, the protein–protein interaction (PPI) network, and the autophagy-related genes network.Results: We identified a total of 21 DECs, including 6 upregulated DECs and 15 downregulated DECs. After further analysis, we obtained a circRNA-miRNA-mRNA regulatory network consisting of 11 DECs, 9 target miRNAs and 410 target genes, and a PPI network. Finally, the potential novel genes of autophagy in AF were revealed by bioinformatics analysis.Conclusion: This study could explore the potential role of circRNA, autophagy-related genes and construct the circRNA-miRNA-mRNA regulation network in AF.Keywords: circular RNA, bioinformatics analysis, ceRNA, autophagy, atrial fibrillation |
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