出 处:《中国实用神经疾病杂志》2020年第14期1203-1208,共6页Chinese Journal of Practical Nervous Diseases
基 金:河南省教育厅重点科研项目(编号:19A320009)。
摘 要:目的分析老年脓毒症相关性脑病小鼠与成年脓毒症相关性脑病小鼠基因表达的差异。方法对GEO数据库中数据集GSE3253进GEO2R基因表达分析,筛选出差异表达基因;使用DAVID在线工具分别对上调和下调的差异表达基因进行基因本体论和KEGG通路的富集分析;使用STRING在线工具对差异表达基因进行蛋白互作网络构建。结果通过差异表达基因的筛选,共筛选到305个DEGs,其中上调DEGs为157个,下调DEGs为148个。通过GO富集分析,在BP分类中上调的DEGs富集到13个BPs,集中在细胞的分化、发育以及对应激的反应等,下调的DEGs富集到11个BPs,集中在离子转运、凋亡的调控、对脂多糖的反应等。在CC分类中,上调的DEGs富集到3个CCs,集中在细胞质、胞外区域,下调的DEGs富集到6个CCs,集中在胞核、胞膜和胞外区域。在MF分类中,上调的DEGs富集到3个MFs,集中在代谢相关的功能,下调的DEGs富集到8个MFs,集中离子通道活性、激素活性相关功能。通过KEGG通路富集分析,上调的DEGs富集到4个通路,包括mmu05218:Melanoma(P=0.02);mmu04015:Rap1 signaling pathway(P=0.03);mmu04014:Ras signaling pathway(P=0.04);mmu05200:Pathways in cancer(P=0.04)。下调的DEGs富集到3个通路,包括mmu05032:Morphine addiction(P=0.01);mmu04060:Cytokine-cytokine receptor interaction(P=0.03);mmu04721:Synaptic vesicle cycle(P=0.04)。通过PPI蛋白互作分析发现两个主要的蛋白互作网络,Gngt1、Sucnr1、Bdkrb2、Exo1、Cdk1是这两个互作网络中的关键基因。结论炎症和血脑屏障的破坏在老年脓毒症相关性脑病的发病中起关键作用,Gngt1、Sucnr1、Bdkrb2、Exo1、Cdk1基因可能在老年脓毒症相关性脑病发病过程中具有重要作用。Objective To analyze the transcriptome data of old SAE mice and adult SAE mice,it was found that the gene expression of old SAE mice is different from that of adult SAE mice.Methods The GEO2 R gene expression analysis was performed on the data set GSE3253 in the GEO database,and the differentially expressed genes were selected;the DAVID online tool was used to perform gene ontology and KEGG pathway enrichment analysis on the up-regulated and down-regulated DEGs;and the STRING online tool was used to construct protein-protein interaction networks for DEGs.Results Through the screening of DEGs,we screened a total of 305 DEGs,including 157 up-regulated DEGs and 148 down-regulated DEGs.Through GO enrichment analysis,in the BP classification,the up-regulated DEGs enriched to 13 BPs,focusing on cell differentiation,development,and response to stress,etc.;down-regulated DEGs were enriched to 11 BPs,concentrated in ions transport,regulation of apoptosis,response to lipopolysaccharide,etc.In the CC classification,up-regulated DEGs were enriched to 3 CCs,concentrated in the cytoplasm and extracellular region;down-regulated DEGs were enriched to 6 CCs,concentrated in the nucleus,cell membrane,and extracellular region.In the MF classification,the up-regulated DEGs are enriched to 3 MFs,focusing on metabolic-related functions;the down-regulated DEGs are enriched to 8 MFs,focusing on the functions related to ion channel activity and hormone activity.Through KEGG pathway enrichment analysis,the upregulated DEGs were enriched into 4 pathways,including mmu05218:Melanoma(P=0.02);mmu04015:Rap1 signaling pathway(P=0.03);mmu04014:Ras signaling pathway(P=0.04);mmu05200:Pathways in cancer(P=0.04).The down-regulated DEGs were enriched into 3 pathways,including mmu05032:Morphine addiction(P=0.01);mmu04060:Cytokine-cytokine receptor interaction(P=0.03);mmu04721:Synaptic vesicle cycle(P=0.04).Through PPI protein interaction analysis,we found two major protein interaction networks,Gngt1,Sucnr1,Bdkrb2,Exo1,Cdk1 are the key genes in these two
关 键 词:脓毒症 脓毒症相关性脑病 基因表达综合数据库 转录组 生物信息学分析
分 类 号:R332[医药卫生—人体生理学]
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