Differentially expressed genes in Sjgren's syndrome microarray / 医学研究生学报

ABSTRACT

Objective Sjgren's Syndrome (SS) is considered to be a common rheumatoid immune disease only second to rheumatoid arthritis in prevalence. This study aimed to screen SS-related genes with gene expression profiling data, explore the pathogenesis of SS and search for the potential drug targets for the treatment of the disease.Methods Using Affymetrix Human Genome U133 Plus 2.0 Array, we obtained the cell expression profiles of human parotid tissue in SS patients from the GEO database, including 24 SS samples and 25 non-SS samples up to the diagnostic criteria. We screened differentially expressed genes with the GEO2R online tools and enriched the functions and pathways of the genes with the DAVID tools. Then we constructed a network of interaction among differentially expressed gene protein products using the STRING database, imported the data into the Cytoscape software, calculated the topological properties, and screened the core genes.Results Totally, 24 up-regulated and 147 down-regulated differentially expressed genes were screened out from the SS samples, involved in cell adhesion molecules, intestinal immune networkIgA secretion, viral myocarditis, rheumatoid arthritis and the leukocyte transendothelial migration pathway, among which PTPRC, CD86, STAT1, FYN and LCP2 were the key genes.Conclusion SS-related biological pathways and key genes can be screened by bioinformatics, which can provide some experimental reference for further revealing the pathogenesis of SS.