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ABSTRACT: Objective
This study used bioinformatics to determine genetic factors involved in progression of acute myocardial infarction (MI).Materials and methods
In this prospective study, gene expression profile GSE59867 was downloaded from the Gene Expression Omnibus database, which contained 46 normal samples obtained from stable coronary artery disease patients (n=46) who were without history of MI (control) and 390 samples from patients (n=111) who had evolving ST-segment elevation myocardial infarction (STEMI) as the MI group. These samples were divided into 4 groups based on time points. After identification of differentially expressed genes (DEGs), we conducted hierarchical clustering and functional enrichment analysis. Protein interaction and transcriptional regulation among
SUBMITTER: Yang Y
PROVIDER: S-EPMC6005004 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature