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基于蛋白质-蛋白质相互作用网络的燃煤污染型氟暴露人群血浆微小RNA靶基因模块化分析
引用本文:王飞,覃裕,吴守丽,汪希兰,潘雪莉. 基于蛋白质-蛋白质相互作用网络的燃煤污染型氟暴露人群血浆微小RNA靶基因模块化分析[J]. 中华地方病学杂志, 2021, 0(2): 99-103
作者姓名:王飞  覃裕  吴守丽  汪希兰  潘雪莉
作者单位:贵州医科大学公共卫生学院;贵州省骨科医院骨内二科
基金项目:国家自然科学基金(81660524)。
摘    要:
目的:建立燃煤污染型氟暴露人群血浆中差异表达的5个微小RNA(microRNA,miRNA)靶基因的蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,筛选具有重要作用的基因及基因模块。方法:将本课题组前期筛选的燃煤污染型氟暴露人群血浆中差异表达的5个miRNA(hsa-miR...

关 键 词:  微小RNA  蛋白质-蛋白质相互作用网络  KEGG

Modular analysis of target genes of microRNAs in plasma of coal-burning fluoride exposed population based on protein-protein interaction network
Wang Fei,Qin Yu,Wu Shouli,Wang Xilan,Pan Xueli. Modular analysis of target genes of microRNAs in plasma of coal-burning fluoride exposed population based on protein-protein interaction network[J]. Chinese Journal of Endemiology, 2021, 0(2): 99-103
Authors:Wang Fei  Qin Yu  Wu Shouli  Wang Xilan  Pan Xueli
Affiliation:(School of Public Health,the Key Laboratory for Environment Pollution Monitoring and Disease Control,Ministry of Education,Guizhou Medical University,Guiyang 550025,China;The Second Department of Orthopedics,Guizhou Orthopaedics Hospital,Guiyang 550000,China)
Abstract:
Objective To establish a protein-protein interaction(PPI)network of 5 microRNA(miRNA)target genes differentially expressed in the plasma of coal-burning fluoride exposed population,and to screen genes and gene modules with important roles.Methods Five miRNA(hsa-miRNA-3131,hsa-miRNA-4516,hsa-miRNA-6501-5p,hsa-miRNA-10b-5p,hsa-miRNA-4683)target genes differentially expressed in the plasma of coal-burning fluoride exposed population screened by our previous study were mapped to the STRING online database(https://string-db.org),and the PPI network was screened.The Cytoscape v3.6.0 software was used to visualize the PPI network,the topological attribute values degree and betweenness centrality were obtained by the NetworkAnalyzer plug-in,and the central node was filtered in the network(the node with the highest degree and the highest betweenness centrality).At the same time,the maximal clique centrality(MCC)analysis method in the CytoHubba plug-in was used to determine the important nodes in the PPI network.The cluster analysis was conducted by the MCODE plug-in,and the gene modules were screened in the PPI network.The protein names contained in the gene modules were submitted online to the KOBAS v3.0 database(http://kobas.cbi.pku.edu.cn/),and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis was performed on the gene modules selected by the MCODE plug-in.Results The PPI network of target genes was consisted of 1035 nodes and 4346 edges.The degree(101)and betweenness centrality(0.01072389)of ubiquitin A-52 residue ribosomal protein fusion product 1(UBA52)were the highest,which was the central node of the PPI network.According to MCC analysis,UBA52 was an important node in the PPI network.The top 5 gene modules were selected from the PPI network,and the highly enriched gene pathways in the KEGG pathway enrichment analysis of the 5 gene modules included ubiquitin mediated proteolysis,spliceosome,endocytosis,neuroactive ligand-receptor interaction and vesicular transport.Conclusion The PPI network of 5 miRNA target genes differentially expressed in the plasma of people exposed to coal-burning pollution of fluoride is successfully established,and the UBA52 gene and the 5 main pathways of gene modules are selected.
Keywords:Fluorine  MicroRNA  Protein-protein interaction network  Kyoto Encyclopedia of Genes and Genomes
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