Using bioinformatics to reveal the pathogenic mechanisms of small ubiquitin-like modifica-tion in psoriasis and to predict drug sensitivity
Objective Using bioinformatics to assess the expression levels and regulatory mechanisms of small ubiquitin-related modifier(SUMO)in psoriasis,and to analyze its effect on metabolism.Methods R language(3.3.6 version)was used to determine the difference in ex-pression levels of SUMO between psoriatic patients and controls,and the receiver operating char-acteristic(ROC)curve of SUMO.The interaction network of SUMO was built using the website of GeneMANIA.The network gene enrichment analysis software GSVA was used to determine the en-richment pathway of SUMO in the psoriasis dataset.XGBOOST and random forest were used to screen dominant genes and verify their differential expression.pRRophetic was used to identify po-tential drugs targeting SUMO in the psoriasis dataset.Results SUMO1,SUMO3,SUMO1P3,SUMO2P3 were highly expressed in psoriasis-involved skin.SUMO interacted with multiple meta-bolic pathways in psoriasis.SUMO1 could be the gene most closely related to metabolic pathways.Conclusions SUMO mRNA is highly expressed in psoriasis-involved skin,and SUMO1 may be involved in the onset and development of psoriasis by regulating the metabolic process.
国家科技期刊平台
NSTL
万方数据
