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作 者:汤娜娜 谢登海 杨国辉 TANG Na-Na;XIE Deng-Hai;YANG Guo-Hui(Department of Medicine Intensive Care Unit,the Affiliated Hospital of GuiZhou Medical University,Guiyang 550004,China)
机构地区:[1]贵州医科大学附属医院内科ICU,贵阳550004 [2]贵州医科大学附属医院心内科,贵阳550004
出 处:《中国免疫学杂志》2021年第13期1571-1575,1581,共6页Chinese Journal of Immunology
基 金:贵州省中医药管理局中医药、民族医药科学技术研究课题基金(QZYY-2020-049);贵州省卫生健康委科学技术基金(gzwjkj2020-1-024)资助。
摘 要:目的:通过生物信息学方法筛选肺外源性急性呼吸窘迫综合征(ARDSexp)的关键基因,探讨ARDSexp疾病早期相关基因变化,有望成为早期诊断ARDSexp的生物学指标及实施个体化治疗的有用工具。方法:在美国国立生物技术信息中心(NCBI)的公共基因芯片表达谱数据库(GEO)中下载基因芯片数据集GSE66890,利用GEO2R分析平台筛选出脓毒症并发ARDSexp患者和脓毒症对照组患者全血标本中的差异表达基因。利用DAVID数据库对差异表达基因进行基因GO功能富集分析和KEGG信号通路富集分析。使用STRING和Cytoscape软件构建蛋白相互作用网络并筛选出关键基因。结果:按照基因差异表达倍数(FC)>1.5且P<0.05的筛选条件,筛选出差异表达基因288个,其中上调基因128个,下调基因160个。GO富集分析表明差异表达基因主要参与了炎症反应、细胞防御等生物学过程,KEGG信号通路富集分析主要包括吞噬体、cGMP-PKG等信号通路。通过筛选获得8个关键基因,分别为CCR2、CXCR2、TAS2R20、TAS2R39、TAS2R40、S1PR1、HCAR2和HCAR3。结论:利用生物信息学方法可获得ARDSexp的差异表达基因、信号通路及关键基因等信息,可为深入探讨ARDSexp的发病机制和临床诊治提供新的研究靶点。Abjective:This study aimed to predict some hub genes associated with acute respiratory distress syndrome induced by extra pulmonary causes(ARDSexp)based on bioinformatics analysis and to identify some changes in gene expression early in the course of illness,when mechanisms of injury may provide the most relevant treatment and prognostic targets.Methods:The gene expression profile of GSE66890 was downloaded from a public functional genomics data repository Gene Expression Omnibus(GEO)in National Center of Biotechnology Information(NCBI).Differentially expressed genes(DEGs)between patients with sepsis-related ARDSexp and patients with sepsis alone were screened by using GEO2 R.The online analysis tool DAVID was used to perform the functional and pathway enrichment analysis.The protein-protein interaction network was constructed by STRING and visualized by Cytoscape.Results:P<0.05 and Fold Change(FC)>1.5 were defined to be statistically significant.288 DEGs were obtained including 128 up-regulated genes and 160 down-regulated genes.Gene ontology showed that the DEGs were mainly involved in inflammatory response,cellular defense response.KEGG pathway involved in Phagosome and cGMP-PKG signaling pathway.Eight hub genes included CCR2,CXCR2,TAS2 R40,TAS2 R39,TAS2 R20,S1 PR1,HCAR2 and HCAR3.Conclusion:The DEGs gene ontology,KEGG pathway and hubs genes of ARDSexp can be obtained by bioinformatics analysis,which provide the basis for exploring the pathogenesis,clinical diagnosis and treatment of ARDSexp.
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