Identification of hub genes and transcription factors involved in periodontitis on the basis of multiple microarray analysis.

ABSTRACT:

Objectives

To identify the differentially expressed genes (DEGs) during the pathogenesis of periodontitis by bioinformatics analysis.

Methods

GEO2R was used to screen DEGs in GSE10334 and GSE16134. Then, the overlapped DEGs were used for further analysis. g:Profiler was used to perform Gene Ontology analysis and pathway analysis for upregulated and downregulated DEGs. The STRING database was used to construct the protein-protein interaction (PPI) network, which was further visua-lized and analyzed by Cytoscape software. Hub genes and key modules were identified by cytoHubba and MCODE plug-ins, respectively. Finally, transcription factors were predicted via iRegulon plug-in.

Results

A total of 196 DEGs were identified, including 139 upregulated and 57 downregulated DEG

SUBMITTER: Zeng XL 

PROVIDER: S-EPMC8703101 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature