Identification of key candidate genes in local dorsal root ganglion inflammation by integrated bioinformatics analysis.

ABSTRACT: The purpose of the present study was to identify potential markers of local dorsal root ganglion (DRG) inflammation to aid diagnosis, treatment and prognosis evaluation of DRG pain. A localized inflammation of the DRG (LID) rat model was used to study the contribution of inflammation to pain. The dataset GSE38859 was obtained from the Gene Expression Omnibus database. Pre-treatment standardization of gene expression data for each experiment was performed using the R/Bioconductor Limma package. Differentially expressed genes (DEGs) were identified between a LID model and a sham surgery control group. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of DEGs and gene set enrichment analysis (GSEA) were carried out using the 'clusterProfiler' package in R.

SUBMITTER: Chen L 

PROVIDER: S-EPMC8193217 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature