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作 者:李宗吉[1] 朱佳佳[2] 李琳[3] LI Zongji;ZHU Jiajia;LI Lin(School of Basic Medicine,Ningxia Medical University,Yinchuan City,Ningxia 750004)
机构地区:[1]宁夏医科大学基础医学院,宁夏银川市750004 [2]宁夏医科大学医学科学技术中心 [3]宁夏回族自治区人民医院
出 处:《医学理论与实践》2021年第10期1621-1624,共4页The Journal of Medical Theory and Practice
基 金:2020年度宁夏医科大学校级面上项目(XM2020016,NM20202013);宁夏自然科学基金(NX2007063)。
摘 要:目的:通过生物信息学分析神经病理性疼痛(NPP)小鼠表达谱中差异表达基因及其核心调控基因(hub基因),探讨该疾病神经免疫机制并为神经病理性疼痛探索新的早期诊断标志物或治疗靶点。方法:从GEO数据库检索神经病理性疼痛小鼠表达谱数据集,GEO2R筛选神经病理性疼痛的差异表达基因(DEGs)。利用基因本体(GO)分析、KEGG信号通路富集和蛋白质互作(PPI)网络分析DEGs,并将筛选出的hub基因提交到DGIdb数据库中寻找相关的免疫治疗药物。结果:共筛选出121个差异表达基因。GO和KEGG富集分析结果表明这些基因均与免疫和炎症反应密切相关。PPI分析筛选出10个hub基因:Ctss、Rac2、Laptm5、Cd53、C1qb、Ptprc、Tyrobp、Csf1r、Ptpn6、Cd68。利用Cytoscape构建了药物-hub基因相互作用网络,包括16个候选药物和5个hub基因。结论:本研究将加深我们对神经病理性疼痛的神经免疫机制的认识,并为NPP生物标志物和探索药物作用靶点提供参考和依据。Objective:The aim of this study was to analyze the differentially expressed genes and their hub genes in the expression profile of neuropathic pain(NPP)mice by bioinformatics,and to explore the neuroimmune mechanism of the disease,and to find new early diagnostic biomarkers or therapeutic targets for neuropathic pain.Methods:GEO2R was used to screen the differentially expressed genes(DEGs)of neuropathic pain.DEGs were analyzed by Gene Ontology,KEGG signal pathway enrichment and protein-protein interaction(PPI)network,and the selected hub genes were submitted to DGIdb database to search for related therapeutic drugs.Results:121 differentially expressed genes were screened.GO and KEGG enrichment analysis showed that these genes were closely related to immune and inflammatory response.10 hub genes were screened by PPI analysis:Ctss、Rac2、Laptm5、Cd53、C1qb、Ptprc、Tyrobp、Csf1r、Ptpn6、Cd68.The drug hub gene interaction network was constructed by using Cytoscape,including 16 candidate drugs and 5 hub genes.Conclusion:This study will deepen our understanding of the neuroimmune mechanism of neuropathic pain,and provide reference and basis for NPP biomarkers and drug targets.
关 键 词:神经病理性疼痛 差异表达基因 核心基因 蛋白质互作网络
分 类 号:R741.04[医药卫生—神经病学与精神病学]
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