广西医科大学学报2019，Vol.36Issue(4)：524-528,5.DOI:10.16190/j.cnki.45-1211/r.2019.04.007
纳米/非纳米种植体表面早期附着细胞的基因表达谱分析
Gene expression profiling data analysis of early implant adherent cells of nanoscale features/microrough implant surfaces
摘要
Abstract
Objective:To explore the expression profile of early attachment cells on two different implant surfaces(nanometer/non-nanometer level) by Gene Expression Omnibus(GEO) database and bioinformatics. Methods:An array data of GSE42288 was downloaded from GEO database.The differentially expressed genes in two groups were analyzed with R software.Moreover,Gene Ontology annotation and KEGG pathway enrichment analyses for DEGs were performed by DAVID.A protein-protein interaction network was established using STRING and Cytoscape software.Results:A total of 110DEGs(7upregulated and 113 downregulated) were identified in the nanoscale features surface samples compared with microrough surface. GO enrichment analysis indicated that these DEGs played an important role in the biological processes such as immune response,inflammatory response,chemokine-mediated signaling pathway,apoptotic process and the molecular functions such as interleukin-8(IL-8) receptor activity.KEGG pathway showed that DEGs mainly played roles in natural killer cell mediated cytotoxicity,osteoclast differentiation,antigen processing and presentation,chemokine signaling pathway and cytokine-cytokine receptor interaction.The major down-regulated differentially expressed genes VEGFA,CCL20,IL-8,CXCR1and CXCR2were screened by GO,KEGG analysis and protein interaction network.Conclusion:Nanoscale features surface is more conducive to primary bone healing,which provides a basis for further experiments to verify the mechanism of action of these genes and pathways in osteogenesis between nanoscale features surface implant and bone osseointegration.关键词
种植体/纳米表面/骨整合/基因Key words
implant/nanoscale features surface/osseointegration/gene expression分类
医药卫生引用本文复制引用
谢桂芳,周海伦,蒋延波,唐礼..纳米/非纳米种植体表面早期附着细胞的基因表达谱分析[J].广西医科大学学报,2019,36(4):524-528,5.基金项目
国家自然科学基金资助项目(No.81460108) （No.81460108）
