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Preliminary verification of lncRNA ENST00000609755.1 potential ceRNA regulatory network in coronary heart disease

竞争性内源性RNA 小RNA 微阵列 微阵列分析技术 接收机工作特性 医学 信使核糖核酸 计算生物学 生物信息学 生物 长非编码RNA 基因表达 基因 内科学 核糖核酸 遗传学
作者
Yi Sun,Jie Lin,Shuna Huang,Xingyan Xu,Yingying Cai,Le Yang,Huangyuan Li,Siying Wu
出处
期刊:International Journal of Cardiology [Elsevier BV]
卷期号:328: 165-175 被引量:5
标识
DOI:10.1016/j.ijcard.2020.11.064
摘要

Abstract

Background

This study aims to explore the possible ceRNA regulatory network of lncRNA ENST00000609755.1 in CHD patients based on the population; reveal the possible regulatory mechanism of lncRNA ENST00000609755.1.

Method

Microarray analysis were used to identify differentially expressed miRNA, and mRNA profiles between 5 CHD and 5 healthy controls. The lncRNA ENST00000609755.1-miRNA-mRNA ceRNA regulatory network was constructed with lncRNA ENST00000609755.1 as the core based on microarray data and related prediction software (RNAhybird, miRanda, miRWalk 2.0). Furthermore, qRT-PCR was used to verify the expression levels of miRNA and mRNA. t-test and pearson correlation analysis were used to compare the expression differences and correlations of lncRNA, miRNA and mRNA. The receiver operating characteristic (ROC) curve was used to determine the discriminative ability of lncRNA ENST00000609755.1 and its downstream targets.

Results

Totally 25 miRNAs and 953 mRNAs were differentially expressed between CHD and healthy control. The lncRNA ENST00000609755.1- miRNA- mRNA ceRNA regulatory network was constructed (5 miRNA and 58 mRNA). qRT-PCR results suggest that the expression of lncRNA ENST00000609755.1 and ELK1 were up-regulated in CHD group and positively correlated, the expression of miR-150 was down-regulated in CHD, which was negatively correlated with lncRNA ENST00000609755.1 and ELK1. The AUC was 0.777(95%CI, 0.659–0.895) when miRNA-150 and ELK1 was added, which was higher than that of lncRNA ENST00000609755.1 single indicator.

Conclusion

LncRNA ENST00000609755.1, miR-150 and ELK1 may have a potential ceRNA regulatory network relationship which could be considered to have a good combined diagnostic value for CHD. Also, preliminarily reveal the possible mechanism of lncRNA ENST00000609755.1 involved in CHD.
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