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Dataset Information

Screening of sphingolipid metabolism-related genes associated with immune cells in myocardial infarction: a bioinformatics analysis.


ABSTRACT:

Background

Inflammation and immune cell infiltration in infarcted myocardial tissue are critical to myocardial infarction (MI) prognosis, and alterations in sphingolipid metabolism (SM) have been shown to potentially influence the inflammatory response and induce cardioprotection, but the underlying mechanisms are unclear. We therefore performed bioinformatics analysis to screen for key genes of SM in MI immune cells.

Methods

Three matrix files including GSE61145, GSE23294, and GSE71906 were downloaded from the Gene Expression Omnibus (GEO) database. GSE61145 was a human peripheral blood database, and GSE23294 and GSE71906 were 2 mouse myocardial tissue databases. R and annotation packages were used to screen for differentially-expressed genes (DEGs). Datasets of human and m

SUBMITTER: Wang J 

PROVIDER: S-EPMC9442515 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature