Bioinformatics Analysis Of Differentially Expressed Genes On Alopecia Areata

Objective:To study the expression of pathogenic genes associated with alopecia areata by bioinformatics method,explore their functions and possible pathogenesis,and evaluate the relationship between related genes and alopecia areata as well as the influence on the pathogenesis and treatment.Methods:The gene dataets associated with alopecia areata were retrieved from GEO database,and human genes obtained under the same detection method were selected for analysis.In this paper,three data sets of GSE68801,GSE74761,and GSE80342 were selected from the GPL570 gene chip platform.The GSE68801 dataset included genetic data from scalp biopsies of 36 normal subjects and 86 patients with alopecia areata.Genetic data of 3 normal people and 3 patients with alopecia areata were selected from GSE74761 dataset without processing.Genetic data before medication was selected from GSE80342 data set,including 12 patients with alopecia areata and 3 normal subjects.Differential Expression analysis,and co-expression analysis were used to screen out differential genes associated with alopecia areata.Further analysis including GO analysis,KEGG signaling pathway analysis and PPI network analysis.Results:Compared with normal scalp tissue,36 DEGs were screened,of which 32 were up-regulated and 4 were down-regulated.Further analysis was performed on the DEGs,the related genes were mainly involved in the generation and metabolism of keratin,?-glutamylcyclotransferase,and solute carrier as well as the motif chemokine ligand.Conclusion:The pathogenesis of AA was closely related to multiple genes and pathways in the body.Among them,KRT?KRTAP?HOXC13?DSG4 might play key roles.