Bioinformatics-based analysis of DNA methylation markers in ulcerative colitis
Objective To analyze DNA methylation biomarkers of ulcerative colitis(UC)based on bioinformatics methods.Methods Chip data from Gene Expression Omnibus(GEO),specifically GSE81211,GSE75214,and GSE87466,were used to analyze differentially methylated sites and differentially expressed genes in UC.This led to the identification of differentially expressed genes with abnormal methylation modifications.These genes were then subjected to enrichment analysis and protein-protein interaction(PPI)network analysis.The expression levels of core genes were validated using the spectral chip GSE36807,and diagnostic efficacy of these core genes was verified by plotting receiver operating characteristic curves.Results A total of 42 genes with high methylation modifications and low expression,and 53 genes with low methylation modifications and high expression were identified.Functional enrichment analysis showed that these genes were mainly associated with innate immune responses,T cell receptor signaling pathways,and upregulation of extracelluar regulated kinase(ERK1)and ERK2 cascade reactions.The enriched signaling pathways of these genes involved cell adhesion molecules and metabolic pathways.Conclusion Seven differentially expressed genes with abnormal methylation modifications SELL,SLAMF1,FCGR2A,CD86,CTLA4,CCR7,and PTPRC may serve as potential biomarkers and therapeutic targets for UC.
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