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Dataset Information

Integrated analysis of gene expression changes associated with coronary artery disease.


ABSTRACT:

Background

This study investigated the pathways and genes involved in coronary artery disease (CAD) and the associated mechanisms.

Methods

Two array data sets of GSE19339 and GSE56885 were downloaded. The limma package was used to analyze the differentially expressed genes (DEGs) in normal and CAD specimens. Examination of DEGs through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and Gene Ontology annotation was achieved by Database for Annotation, Visualization and Integrated Discovery (DAVID). The Cytoscape software facilitated the establishment of the protein-protein interaction (PPI) network and Molecular Complex Detection (MCODE) was performed for the significant modules.

Results

We identified 413 DEGs (291 up-regulated and 122 down-regulated

SUBMITTER: Miao L 

PROVIDER: S-EPMC6454774 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature