RNA Seq and ceRNA Network Analysis of the Rat Model of Chronic Kidney Disease

被引:4
作者
Xu, Hepeng [1 ,4 ]
He, Zhen [1 ,4 ]
Zhang, Mengjuan [1 ,4 ]
Zhou, Wenping [1 ,4 ]
Xu, Chang [1 ,4 ]
He, Ming [2 ,3 ,4 ]
Wang, Zheng [2 ,3 ,4 ]
Wang, Xiangting [2 ,3 ,4 ]
机构
[1] Hebei Univ Chinese Med, Grad Sch, Shijiazhuang, Peoples R China
[2] Hebei Univ Chinese Med, Coll Integrat Med, Shijiazhuang, Peoples R China
[3] Hebei Univ Chinese Med, Inst Integrat Med, Shijiazhuang, Peoples R China
[4] Hebei Univ Chinese Med, Hebei Key Lab Integrat Med Liver Kidney Patterns, Shijiazhuang, Peoples R China
关键词
ceRNA network; chronic kidney disease; lncRNAs; mRNAs; unilateral ureteral obstruction; gene ontology; ORPHAN NUCLEAR RECEPTORS;
D O I
10.2174/1386207325666220516145502
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background Long non-coding RNAs (lncRNAs) containing microRNA (miRNA) response elements (MREs) can be used as competitive endogenous RNAs (ceRNAs) to regulate gene expression. Objective The purpose of this study was to investigate the expression profile and role of mRNAs and lncRNAs in unilateral ureteral obstruction (UUO) model rats and to explore any associated competing endogenous (ceRNA) network. Methods Using the UUO model, the obstructed kidney was collected on the 15(th) day after surgery. RNA Seq analysis was performed on renal tissues of four UUO rats and four sham rats. Four mRNAs and four lncRNAs of differentially expressed genes were randomly selected for real-time quantitative PCR (RT qPCR) analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed, and bioinformatics was used to predict MREs. By screening for ceRNAs combined with target gene prediction, a related ceRNA network was constructed and verified by RT-qPCR. Results We identified 649 up-regulated lncRNAs, 518 down-regulated lncRNAs, 924 down-regulated mRNAs and 2029 up-regulated mRNAs. We identified 30 pathways with the highest enrichment in GO and KEGG. According to the RNA Seq results and the expression of Nr4a1, the network was constructed based on Nr4a1 and included two MREs and ten lncRNAs. Furthermore, lncNONRATT011668.2/miR-361-3p/Nr4a1 was identified and verified according to ceRNA sequencing and target gene prediction. Conclusion mRNAs and lncRNAs are differentially expressed in UUO model rats, which may be related to the pathogenesis of chronic kidney disease. The lncNONRATT011668.2/miR-361-3p/Nr4a1 ceRNA network may be involved in the pathogenesis of chronic kidney disease.
引用
收藏
页码:116 / 125
页数:10
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