Bioinformatics Analysis for Multiple Gene Expression Profiles in Sepsis.

ABSTRACT: BACKGROUND This work aimed to screen key biomarkers related to sepsis progression by bioinformatics analyses. MATERIAL AND METHODS The microarray datasets of blood and neutrophils from patients with sepsis or septic shock were downloaded from Gene Expression Omnibus database. Then, differentially expressed genes (DEGs) from 4 groups (sepsis versus normal blood samples; septic shock versus normal blood samples; sepsis neutrophils versus normal controls and septic shock neutrophils versus controls) were respectively identified followed by functional analyses. Subsequently, protein-protein network was constructed, and key functional sub-modules were extracted. Finally, receiver operating characteristic analysis was conducted to evaluate diagnostic values of key genes. RESULTS There were 2082

SUBMITTER: Zhai J 

PROVIDER: S-EPMC7171431 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature