摘要
目的分析阿尔茨海默病(AD)随年龄增长表达变化的基因。方法通过Qlucore Omics Explorer(QOE)软件分析数据库Gene Expression Omnibus(GEO)中的GSE36980和GSE53890数据集,在严格的统计学设定前提下,以两组比较和线性回归方式,选出阿尔茨海默病和年龄相关的基因,并用在线工具DAVID进行Gene Ontology(GO)功能富集分析。结果筛选出20个和年龄相关的阿尔茨海默病差异基因。GO功能富集分析表明,这些基因涉及的生物学过程有蛋白质代谢、细胞周期和神经代谢调控;涉及的细胞组成包括轴突,质膜,突触,细胞骨架,胞内无膜结构细胞器;涉及的分子功能为嘌呤核苷酸结合蛋白和金属离子结合蛋白。结论 PDE2A等20个基因随个体年龄增高,其基因表达降低,提示其不仅与神经系统的衰老程度相关,而且可能与阿尔茨海默病的发病机理相关。
Objective To study gene expression analysis of age related morbidity of the Alzheimer's disease.Methods The Qlucore Omics Explore( QOE) bioinformatic software was used to analyze age and Alzheimer's disease related gene expression data of GSE36980 and GSE53890 from Gene Expression Omnibus( GEO). Differentially expressed genes involved in Alzheimer's disease and age were screened by two group comparison and linear regression in the case of strict compliance with statistical significance. Online tool software DAVID was used for Gene Ontology( GO) enrichment analysis. Results Twenty differentially expressed genes in Alzheimer's disease were found to be down regulated with age.The result of GO enrichment analysis showed that the involved biological process of these genes was relevant to cellular protein catabolic process,cell cycle and neurological system process. It was also found that the genes were involved in cellular structural component, such as axon, synapse, plasma membrane, cytoskeleton and non-membrane-bounded organelle. The molecular functions involved were found to be adenyl ribonucleotide binding and metal ion binding.Conclusion Through data mining analysis,we find that in the Alzheimer's disease,PDE2 A and other 19 genes are down regulated with age. It indicates that these 20 genes are not only related with aging,but also involved in the mechanisms of Alzheimer's diseases.
出处
《解剖学报》
CAS
CSCD
北大核心
2015年第2期164-169,共6页
Acta Anatomica Sinica
基金
广东省领军人才基金资助项目(C1030925)
国家自然科学基金资助项目(39880032)
关键词
阿尔茨海默病
年龄
基因表达
生物信息
人
Alzheimer's disease
Age
Gene expression
Bioinformatics
Human