The underlying molecular mechanisms and biomarkers of plaque vulnerability based on bioinformatics analysis.

ABSTRACT:

Aim

The study aimed to identify the underlying differentially expressed genes (DEGs) and mechanism of unstable atherosclerotic plaque using bioinformatics methods.

Methods

GSE120521, which includes four unstable samples and four stable atherosclerotic samples, was downloaded from the GEO database. DEGs were identified using LIMMA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were performed using the Database for metascape Visualization online tool. Based on the STRING database, protein-protein interactions (PPIs) network among DEGs were constructed. Regulatory networks were visualized using Cytoscape. We use the xCell to analyze the different immune cell subtypes.

Results

A total of 1626 DEGs (1034 up-regulated and

SUBMITTER: Cheng R 

PROVIDER: S-EPMC9615401 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature