Integrated bioinformatics analysis of differentially expressed genes in the temporomandibular joint internal derangement.

ABSTRACT:

Objectives

This study aimed to identify significant mechanisms and potential treatments for temporomandibular joint internal derangement (TMJD) through integrated bioinformatics analysis.

Materials and methods

Gene expression data sets (GSE66864) from the Gene Expression Omnibus (GEO) database were downloaded. Differentially expressed genes (DEGs) were identified both in the treatment groups and in controls by R packages. Network analysis of protein-protein interaction (PPI) and Human Protein Atlas was used to explore DEGs' potential function. DGIdb database was utilized to gain potential drug targets.

Results

In conclusion, 126 DEGs were selected for TMJD through bioinformatics analysis. Both GO and Kyoto Encyclopedia of Genes and Genomes analyses combined showed the

SUBMITTER: Yang J 

PROVIDER: S-EPMC10441599 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature