Department of Biochemistry, College of Laboratory Medicine, Hebei North University, Zhangjiakou, Hebei 075000, P.R. China.
Mol Med Rep. 2018 Dec;18(6):5069-5075. doi: 10.3892/mmr.2018.9551. Epub 2018 Oct 10.
The present study aimed to mine therapeutic molecular targets that play an important part in the progression of coronary artery disease (CAD). The gene expression profile GSE28829 dataset and the microRNA (miRNA) expression profile GSE59421 dataset were downloaded from the Gene Expression Omnibus (GEO) database. The GEO2R online analytical tool was used to identify differentially expressed genes (DEGs) and miRNAs (DEMs). The target genes of DEMs were identified using the miRWalk2.0 web‑based tool and 2 miRNA‑gene regulatory networks were constructed using Cytoscape software. Subsequently, enriched Gene Ontology (GO) terms of miRNA‑target DEGs were obtained using the Database for Visualization, Annotation and Integrated Analysis, and locations of these genes in the chromosomes were determined by Map Viewer. In the present study, 350 DEGs and 66 DEMs were screened. A total of 3,588 target genes were identified from the DEMs, and 57 of these target genes and established DEGs were identified to overlap. GO terms associated with 5 processes, and 4 types of composition were identified to be enriched in the miRNA‑target DEGs. Furthermore, 26 miRNA‑gene regulatory pairs were obtained between the 57 target genes and DEMs. The 26 miRNA‑target DEGs were unevenly distributed, and no genes were located on the sex chromosomes. As a result of the present study, potential therapeutic targets for CAD were identified through bioinformatics analysis.
本研究旨在挖掘在冠状动脉疾病（CAD）进展中起重要作用的治疗分子靶标。从基因表达谱 GSE28829 数据集和 microRNA（miRNA）表达谱 GSE59421 数据集从基因表达综合数据库（GEO）数据库中下载。使用 GEO2R 在线分析工具识别差异表达基因（DEGs）和 miRNAs（DEMs）。使用 miRWalk2.0 网络工具识别 DEMs 的靶基因，并使用 Cytoscape 软件构建 2 个 miRNA-基因调控网络。随后，使用可视化、注释和综合分析数据库获得 miRNA-靶标 DEGs 的富集基因本体（GO）术语，并通过 Map Viewer 确定这些基因在染色体上的位置。在本研究中，筛选出 350 个 DEGs 和 66 个 DEMs。从 DEMs 中总共鉴定出 3588 个靶基因，其中 57 个靶基因和已建立的 DEGs重叠。与 5 个过程相关的 GO 术语和 4 种组成类型被鉴定为 miRNA-靶标 DEGs 所富集。此外，在 57 个靶基因和 DEMs 之间获得了 26 个 miRNA-基因调控对。26 个 miRNA-靶标 DEGs 分布不均匀，没有基因位于性染色体上。通过生物信息学分析，本研究确定了 CAD 的潜在治疗靶点。
