Screening Key Genes for Nickel Allergic Contact Dermatitis Based on Bioinformatics Method
Objective To analyze the key genes between nickel allergic contact dermatitis(Ni-ACD)lesions and normal skin,screen the key genes,and make therapeutic drug predictions using bioinformatics methods.Methods The GSE60028 and GSE168735 datasets were retrieved from the gene expression omnibus(GEO)database.R language was used to correct the data,screen for differentially expressed genes,analyze for gene ontology(GO)function and perform Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis.Protein-protein interaction(PPI)analysis of the common differentially expressed genes were performed in the two datasets.Next,the key genes were ob-tained by Cytoscape analysis.Finally,the 12 key genes were entered into Connectivity Map to predict po-tential compounds for the treatment of Ni-ACD.Results A total of 417 common differentially expressed genes were obtained from the intersection of GSE60028 and GSE168735 datasets and 12 key genes(MX1,ISG15,IRF7,XA F1,BST2,IRF1,IFI35,OAS2,RSAD2,IFIT3,ISG20,and OASL)were screened in the study.GO and KEGG analysis showed that the common differentially expressed genes were mainly involved in biological processes such as leukocyte cell-cell adhesion,cytokine-mediated signaling pathway,leukocyte migration,regulation of T cell activation and regulation of leukocyte cell-cell adhesion were mainly enriched in cytokines as well as immune-related pathways.In addition,ten compounds were pre-dicted to have potential therapeutic effects on Ni-ACD.Conclusion This study was based on bioinforma-tics approach to screen the key genes of Ni-ACD and to predict the potential therapeutic drugs,which can provide reference for clinical and drug research.
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维普
