A comparison of gene expression profiles in patients with coronary artery disease, type 2 diabetes, and their coexisting conditions.

ABSTRACT:

Background

To support a hypothesis that there is an intrinsic interplay between coronary artery disease (CAD) and type 2 diabetes (T2D), we used RNA-seq to identify unique gene expression signatures of CAD, T2D, and coexisting conditions.

Methods

After transcriptome sequencing, differential expression analysis was performed between each disordered state and normal control group. By comparing gene expression profiles of CAD, T2D, and coexisting conditions, common and specific patterns of each disordered state were displayed. To verify the specific gene expression patterns of CAD or T2D, the gene expression data of GSE23561 was extracted.

Results

A strong overlap of 191 genes across CAD, T2D and coexisting conditions, were mainly involved in a viral infectious cycle, an

SUBMITTER: Gong R 

PROVIDER: S-EPMC5465468 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature