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Dataset Information

Identification of immune-related genes in acute myocardial infarction based on integrated bioinformatical methods and experimental verification.


ABSTRACT:

Background

Acute myocardial infarction (AMI) is one of the leading causes of death worldwide. The etiology of AMI is complex and has not been fully defined. In recent years, the role of immune response in the development, progression and prognosis of AMI has received increasing attention. The aim of this study was to identify key genes associated with the immune response in AMI and to analyze their immune infiltration.

Methods

The study included a total of two GEO databases, containing 83 patients with AMI and 54 healthy individuals. We used the linear model of microarray data (limma) package to find the differentially expressed genes associated with AMI, performing weighted gene co-expression analysis (WGCNA) to further identify the genes associated with inflammatory respon

SUBMITTER: Liu J 

PROVIDER: S-EPMC10198157 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature