解剖学报

解剖学报 ›› 2015, Vol. 46 ›› Issue (2): 164-169.doi: 10.16098/j.issn.0529-1356.2015.02.004

• 神经生物学 • 上一篇    下一篇

阿尔茨海默病关于年龄因素的差异基因表达分析

冀开元 马文丽* 郑文岭   

  1. 南方医科大学基因工程研究所， 广州 510515
  • 收稿日期:2014-10-09 修回日期:2014-12-06 出版日期:2015-04-06 发布日期:2015-04-06
  • 通讯作者: 马文丽 E-mail:wenli668@gmail.com
  • 基金资助:

    国家自然科学基金资助项目;广东省领军人才基金

Differentially expressed genes related to age and the Alzheimer’s disease

JI Kai-yuan MA Wen-li* ZHENG Wen-ling   

  1. Institute of Genetic Engineering, Southern Medical University, Guangzhou 510515, China
  • Received:2014-10-09 Revised:2014-12-06 Online:2015-04-06 Published:2015-04-06
  • Contact: MA Wen-li E-mail:wenli668@gmail.com
  • Supported by:

    National Natural Science Fund

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。

关键词: 阿尔茨海默病, 年龄, 基因表达, 生物信息, 人

Abstract:

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, PDE2A 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.

Key words: Alzheimer’s disease, Age, Gene expression, Bioinformatics, Human