两种基因芯片数据分析软件在口腔黏膜下纤维化差异表达基因分析中的应用  

Application of bioinformatics tools in analysis of differentially expressed genes in oral submucosal fibrosis

作　　者：胡延佳[1] 翦新春[1] 刘斌杰[2] 彭解英[2] 

机构地区：[1]中南大学湘雅医院口腔颌面外科,长沙410008 [2]中南大学湘雅医院口腔内科,长沙410008

出　　处：《中华口腔医学杂志》2008年第3期168-171,共4页Chinese Journal of Stomatology

基　　金：国家自然科学基金（30572044）

摘　　要：目的运用基因芯片数据分析软件对口腔黏膜下纤维化（oral submucosa fibrosis，OSF）差异表达基因进行分析，研究其隐含的生物学意义。方法利用DAVID和Onto—express两种基因芯片数据分析软件对前期筛选的865个OSF差异表达基因进行染色体定位、GO分析（gene ontology）和遗传关联疾病分析。结果差异表达基因主要定位于1、2、5、6、7、11和12号染色体上（P〈0．01）；GO分析显示差异表达基因主要参与免疫反应、防御反应等生物过程，并主要与细胞外基质、细胞骨架、细胞膜的组成和蛋白结合，细胞外基质结构组成和信号转导激活等分子功能相关；而与这些基因有遗传关联的疾病主要有感染，免疫和心血管疾病等。结论运用基因芯片数据分析软件可快速分析大量的基因芯片数据，实现对差异基因初步的功能归类，为OSF的发病机制和流行病学研究提供新的思路。Objective To apply the bioinformatics tools for analyzing the differentially expressed genes in oral submucous fibrosis （OSF） to obtain the implied biological significance. Methods By using DAVID and Onto-express bioinformatic tools, 865 differentially expressed genes in OSF were analized and the analysis of chromosome location, gene ontology （GO） and genetic-association diseases were performed. Results A majority of the differentially expressed genes were located on chromosome 1,2,5,6,7,11,12 （P 〈 0. 01 ）. GO classification of the differentially expressed genes identified the biological process subgroups, including genes involved in immune response, defense response and so on. The cellular component subgroups were associated with extracellular matrix, cytoskeleton and membrane, molecular function subgroups related to protein binding, extracellular matrix structural constituent and signal transducer activity. The diseases genetically associated with these genes included infection, immune and cardiovascular diseases. Conclusions Bioinformatics can provide the quick and parallel analysis of massive data got from gene microarrays and enable the function classification of the differentially expressed genes, which provides new ideas on the research of pathogenesis and epidemiology of OSF.

关 键 词：口腔黏膜下纤维化 计算生物学 基因 

分 类 号：R686[医药卫生—骨科学]