Identification of autophagy-related genes and immune cell infiltration characteristics in sepsis via bioinformatic analysis.

ABSTRACT:

Background

Sepsis is a life-threatening disease with a high mortality in the intensive care unit (ICU), and autophagy plays an essential role in the development of sepsis. The purpose of this study was to identify potential autophagy-related genes in sepsis and their relationship with immune cell infiltration by bioinformatics analysis.

Methods

The messenger RNA (mRNA) expression profile of the GSE28750 data set was collected from the Gene Expression Omnibus (GEO) database. The potential differentially expressed autophagy-related genes of sepsis were screened with the "limma" package in R (The Foundation for Statistical Computing). The hub genes were selected by weighted gene coexpression network analysis (WGCNA) networks with Cytoscape, and functional enrichment analysis wa

SUBMITTER: Di C 

PROVIDER: S-EPMC10183527 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature