哮喘患者上气道基因表达谱芯片的生物信息学分析

发布时间：2021-06-11 13:39

　　目的:应用生物信息学方法对哮喘患者上气道基因表达谱芯片进行分析,进一步探讨其可能的发病机制。方法:从GEO（Gene expressionomnibus）数据库下载哮喘表达谱的芯片数据（GSE41861）,利用R语言Limma软件包筛选哮喘患者与非哮喘患者鼻黏膜的差异表达基因（differentially expressed genes,DEGs）,并对差异基因作基因本体论（gene ontology,GO）和京都基因与基因组百科全书（kyoto encyclopedia of genes and genomes,KEGG）通路富集分析。利用STRING在线数据库进行蛋白-蛋白相互作用（protein protein interaction,PPI）分析,并用Cytoscape软件及其插件NetworkAnalyzer进行可视化,寻找关键（Hub）基因。结果:共筛选出118个差异基因,其中包括93个上调基因和25个下调基因。对差异基因进行生物信息学分析,上调DEGs主要参与唾液分泌相关通路和结核相关通路,下调DEGs主要参与TGF-β相关信号通路。蛋白网络分析筛选出CDC5L、AR和A... 

【文章来源】：湖北医药学院学报. 2020,39(02)

【文章页数】：7 页

【部分图文】：

差异表达基因热图

表2 差异表达基因GO富集分析结果 Category ID Term Gene count BP GO:0006919 Activation of cysteine-type endopeptidase activity involved in apoptotic process 6 GO:0044344 cellular response to fibroblast growth factor stimulus 4 GO:0071902 positive regulation of protein serine/threonine kinase activity 4 GO:0055114 oxidation-reduction process 10 GO:0000398 mRNA splicing, via spliceosome 6 GO:0030100 regulation of endocytosis 3 GO:0001666 response to hypoxia 5 GO:1903427 negative regulation of reactive oxygen species biosynthetic process 2 GO:0045726 positive regulation of integrin biosynthetic process 2 GO:0010628 positive regulation of gene expression 6 CC GO:0005615 extracellular space 19 GO:0005829 cytosol 33 GO:0070062 extracellular exosome 29 GO:0030426 growth cone 5 GO:0005925 focal adhesion 8 GO:0005794 Golgi apparatus 12 MF GO:0004869 cysteine-type endopeptidase inhibitor activity 3 GO:0002020 protease binding 4 GO:0001085 RNA polymerase II transcription factor binding 3 GO:0042802 identical protein binding 10 GO:0030235 nitric-oxide synthase regulator activity 2 GO:0020037 heme binding 4 GO:0003725 double-stranded RNA binding 3图3 下调差异表达基因KEGG通路富集分析结果

下调差异表达基因KEGG通路富集分析结果

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