Expression Profiling and Ontology Analysis of Genome-scale Long Noncoding RNA Following Stable Angina Pectoris in a Chinese Population

Abstract

Long non-coding RNAs were analyzed using microarray testing in stable angina pectoris on a genomewide scale. According to the inclusion and exclusion criteria, long non-coding RNAs gene-chip was used to detect the expression of long non-coding RNAs in the stable angina pectoris and the healthy control group. Gene-chip analysis, signal pathway analysis and the predictive results of target genes were used. After amplification of the sample size, the expression of long non-coding RNAs in anticoagulated peripheral blood was screened using fluorescent quantitative real-time polymerase chain reaction. Statistical software SPSS 22.0 was employed for statistical data analysis using two independent samples of the t-test. The long non-coding RNA expression profiles of stable angina pectoris were established from the results of the long non-coding RNA gene chip. A total of 226 upregulated and 173 downregulated long non-coding RNAs were identified to be significantly and differentially expressed between the stable angina pectoris group and the healthy control group, and 106 upregulated and 346 downregulated mRNAs were identified. Differences in long non-coding RNAs ENS0418539.1 and ENS0589524.1 were verified using quantitative real-time polymerase chain reaction, and the results were consistent with the chip-test outcomes. The long non-coding RNA expression profile of stable angina pectoris was established by analysing the long non-coding RNAs gene-chip. The long non-coding RNA expression was consistent with the results of the microarray test and could have a potential role in the development of stable angina pectoris.