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通过生物信息学分析鉴定调控神经母细胞瘤骨髓转移的中枢基因
引用本文:杨倩玉,李璇,闫蓓蕾,赵旭峰,崔华雷.通过生物信息学分析鉴定调控神经母细胞瘤骨髓转移的中枢基因[J].天津医科大学学报,2021,0(3):259-265.
作者姓名:杨倩玉  李璇  闫蓓蕾  赵旭峰  崔华雷
作者单位:1.天津医科大学研究生院,天津 300070;2.天津市儿童医院小儿内科,天津 300074;3.天津市儿童医院小儿外科,天津 300074
摘    要:目的:利用生物信息学的方法,探讨神经母细胞瘤骨髓转移的中枢基因及其可能的分子机制。方法: 选取GEO数据库中神经母细胞瘤基因骨髓转移的芯片数据集GSE42548,应用在线分析工具Networkanalyst筛选差异表达基因。使用DAVID数据库对上述差异表达基因进行GO功能分析及KEGG通路分析。应用STRING在线数据库和Cytoscape软件构建蛋白质相互作用(PPI)网络,并筛选hub genes、枢纽模块和seed genes,利用Venn图对hub genes和seed进行分析。结果: 分析芯片数据,筛选得到990个差异表达基因,GO和KEGG分析结果显示,差异表达基因与信号转导、生物膜合成等过程有关,并富集在Hematopoietic cell lineage通路上。通过构建PPI网络筛选得到了10个hub genes、6个枢纽模块和17个seed genes。通过Venn图确定关键基因Cxcr4。结论: 研究中筛选出了10个hubgenes和17个seed genes,其中Cxcr4基因在神经母细胞瘤骨髓转移起到关键作用,提示基于CXCR4- SDF-1之间的调控关系可能为神经母细胞瘤骨髓转移的早期诊断提供新的见解。

关 键 词:神经母细胞瘤  骨髓转移  Cxcr4  生物信息学

Identification of hub genes to regulate neuroblastoma metastasis to bone marrow by bioinformatics analysis
YANG Qian-yu,LI Xuan,YAN Bei-lei,ZHAO Xu-feng,CUI Hua-lei.Identification of hub genes to regulate neuroblastoma metastasis to bone marrow by bioinformatics analysis[J].Journal of Tianjin Medical University,2021,0(3):259-265.
Authors:YANG Qian-yu  LI Xuan  YAN Bei-lei  ZHAO Xu-feng  CUI Hua-lei
Institution:1.Graduate School,Tianjin Medical University,Tianjin 300070,China;2.Department of Pediatric Medicine,Tianjin Children′s Hospital,Tianjin 300074,China;3.Department of Pediatric Surgery,Tianjin Children′s Hospital,Tianjin 300074,China
Abstract:Objective: To investigate the central gene of bone marrow metastasis in neuroblastoma and its possible molecular mechanism by bioinformatics analyses. Methods: The chip data set GSE42548 of the neuroblastoma gene bone marrow metastasis in the GEO(gene expression omnibus) database was selected,and the differentially expressed genes were screened by the online analysis tool Networkanalyst. DAVID database was used for GO(gene ontology) function analysis and KEGG(kyoto encyclopedia of genes and genome) pathway analysis of the above differentially expressed genes. The online database STRING and Cytoscape software were used to construct the protein-protein interaction(PPI) network,and the hub genes,hub modules and seed genes were screened,and the Venn diagram was used to analyze the hub genes and seed. Results: The microarray data were analyzed and 990 differentially expressed genes were screened. The GO and KEGG analysis results showed that the differentially expressed genes were related to signal transduction and biofilm synthesis,and were enriched in Hematopoietic cell pathway. Ten hub genes,six hub modules and seventeen seed genes were obtained by constructing PPI network screening. The key gene Cxcr4 was identified by the Venn diagram. Conclusion: In this study,10 hub genes and 17 seed genes were screened out,among which Cxcr4 gene plays a key role in the bone marrow metastasis of neuroblastoma,suggesting that the regulation relationship between CXCR4 and SDF-1 may provide new insights for the early diagnosis of the bone marrow metastasis of neuroblastoma.
Keywords:neuroblastoma  bone marrow metastases  Cxcr4  bioinformatics
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