Construction and functional enrichment analysis of circRNA-miRNA-mRNA regulatory network for liver cancer based on high-throughput sequencing
10.3969/j.issn.1001-5256.2019.08.018
- VernacularTitle:基于高通量测序的肝癌circRNA-miRNA-mRNA调控网络构建及功能富集分析
- Author:
Jing ZHAO
1
;
Xingwu YANG
;
Jingtao LI
Author Information
1. Shaanxi University of Chinese Medicine, Xianyang, Shaanxi 712000, China
- Publication Type:Research Article
- Keywords:
liver neoplasms;
RNA, untranslated;
high-throughput nucleotide sequencing
- From:
Journal of Clinical Hepatology
2019;35(8):1740-1744
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo construct a protein interaction network based on high-throughput sequencing data of liver cancer-related non-coding RNAs, to perform a functional enrichment analysis, and to screen out circular RNAs (circRNAs) participating in the development and progression of liver cancer via the mechanism of competitive endogenous RNA (ceRNA). MethodsThe circRNA-miRNA-mRNA network was constructed using gene expression omnibus (GEO) data based on the ceRNA theory. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) analyses were performed to identify circRNAs with potential ceRNA function and explore their functions. ResultsA total of 9 co-expressed circRNAs, 20 co-expressed miRNAs, and 153 co-expressed mRNAs were screened out from the GEO database, and the liver cancer-related circRNA-miRNA-mRNA network was successfully constructed. The GO analysis revealed 90 biological processes, which mainly involved 12 functional clusters including hepatocyte differentiation, phase-change regulation of cell cycle, and negative regulation of transcription factor activity. The KEGG analysis showed that the co-expressed circRNAs were also involved in the p53 and PI3K-Akt signaling pathways. ConclusionThis study provides new insights for circRNAs mediating the development and progression of liver cancer through the mechanism of ceRNA.
