Identification of Key Genes in Severe Burns by Using Weighted Gene Coexpression Network Analysis.

ABSTRACT: The aims of this work were to explore the use of weighted gene coexpression network analysis (WGCNA) for identifying the key genes in severe burns and to provide a reference for finding therapeutic targets for burn wounds. The GSE8056 dataset was selected from the gene expression database of the US National Center for Biotechnology Information for analysis, and a WGCNA network was constructed to screen differentially expressed genes (DEGs). Gene Ontology and pathway enrichment of DGEs were analyzed, and protein interaction network was constructed. A burn mouse model was constructed, and the burn tissue was taken to identify the expression levels of differentially expressed genes. The results showed that the optimal soft threshold for constructing the WGCNA network was 9. 10 coexpressed gen

SUBMITTER: Guo Z 

PROVIDER: S-EPMC9256319 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature