基于生物信息学分析脓毒症心肌病差异基因及潜在治疗中药预测
AbstractObjective：Toexplrediferentialgenesinsepticcardomyopathyandpreictionpotetiltherapeutictraditioal medicinesbasedonbioinformatics.Methods：GSE79962chipdatawasdownloadedfromthegeneexpresiondatabase.elevant diferentialyexpressedgeneswerescreenedusingRlanguage，andthediferentiallyexpressedgeneswereanalyzedinthegene ontologyandKyotoEncyclopedia GenesandGenomesdatabases.proteininteractionnetworkwasconstructedthroughthe STRINGwebsite.coregenesthediferentiallexpressedgeneswereanalyzedusingCytoscapestwareanditspluginCytoHuba. coregenesweremutuallymappedwiththemedicalontologinformationretrievalplatform (CoremineMedical)toscreentherelevant traditionalCineedicfrtetreatmentesusAtotal7diftillexpresedgeseresreedoutiding 77up-regulatedgenesand160down-regulated genes.pathwayenrichmentmainlyincludedthetransforminggrowth factorTGF) -β signalingpathwaytheadvancedadvancedglycationendproductAGE)advancedgycationendproductreceptor(RAGE)signling pathwayindiabeticcomplications，etc.Tekeycoregenesscreenedmainlyincludesignaltransducerandactivatortranscrition3 (STAT3)，MYC，signaltransductiomolecule3(D3)，UNB ......
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