Bioinformatics analysis of key genes and miRNAs associated with Stanford type A aortic dissection.

ABSTRACT:

Background

Aortic dissection is one of the most detrimental cardiovascular diseases with a high risk of mortality and morbidity. This study aimed to examine the key genes and microRNAs associated with Stanford type A aortic dissection (AAD).

Methods

The expression data of AAD and healthy samples were downloaded from two microarray datasets in the Gene Expression Omnibus (GEO) database to identify highly preserved modules by weighted gene co-expression network analysis (WGCNA). Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) were selected and functionally annotated. The predicted interactions between the DEGs and DEmiRNAs were further illustrated.

Results

In two highly preserved modules, 459 DEGs were identified. These DEGs were fun

SUBMITTER: Bi S 

PROVIDER: S-EPMC7578500 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature