Bioinformatics analysis of differentially expressed genes in diabetic foot ulcer and preliminary experimental verification.

ABSTRACT:

Background

Molecular changes are closely related to the pathogenesis and healing process of diabetic foot ulcers (DFUs), and are crucial for the early prediction and intervention of DFU.

Methods

Bioinformatics analysis was performed in this study to identify the key differentially expressed genes (DEGs) in DFU, analyze their functions and function modes, and conduct preliminary experimental verification to determine the potential pivotal genes in the pathogenesis of DFU. Two datasets, GSE68183 and GSE80178, were obtained from the Gene Expression Omnibus (GEO). DEGs were obtained using GEO2R. Six co-expressed DEGs (co-DEGs) were obtained by R language analysis. The co-DEGs were constructed by using STRING and Cytoscape 3.7.2 to construct a protein-protein interaction (PPI) ne

SUBMITTER: Miao F 

PROVIDER: S-EPMC9929774 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature