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Screening and identification of microRNA involved in unstable angina using gene-chip analysis
Author(s) -
Si Li,
Yanan Sun,
Yuntao Zhou,
Chunlai Zhang,
Feng Lu,
Jia Liu,
Xiaoming Shang
Publication year - 2016
Publication title -
experimental and therapeutic medicine
Language(s) - English
Resource type - Journals
eISSN - 1792-1015
pISSN - 1792-0981
DOI - 10.3892/etm.2016.3646
Subject(s) - microrna , biology , fold change , pathogenesis , microarray , gene expression , oncogene , dna microarray , gene chip analysis , microarray analysis techniques , gene , gene expression profiling , molecular medicine , computational biology , bioinformatics , genetics , cell cycle , immunology
Increasing evidence has suggested that microRNA (miRNA) may play a role in the pathogenesis of cardiovascular disease, which has led to a greater understanding of the complex pathophysiological processes underlying unstable angina (UA). The present study aimed to investigate changes in the miRNA expression profiles of patients with UA using gene-chip analysis, in order to further elucidate the pathogenesis of UA. Total RNA was extracted and purified from plasma samples collected from patients with UA and healthy controls. The samples underwent microarray analysis using an Exiqon miRCURY LNA™ microRNA Array. Differentially expressed miRNAs were identified by volcano plot filtering, and were validated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). In addition, functional annotation of the differentially expressed miRNAs involved gene ontology analyses. Among the 212 miRNAs differentially expressed between the two groups, 82 were upregulated and 130 were downregulated. Notably, the results of the RT-qPCR were consistent with the gene-chip results. The miRNAs identified in the present study may be potential novel biomarkers for the prevention and early diagnosis of UA. Furthermore, the results of the present study suggested that UA occurs as a result of complex and dynamic processes regulated by numerous factors, including multiple miRNAs.

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