基于表达谱芯片数据的阿尔茨海默病易感基因的生物信息学数据挖掘-东南大学学报医学版

基于表达谱芯片数据的阿尔茨海默病易感基因的生物信息学数据挖掘

单位：1. 首都医科大学附属北京天坛医院, 北京 100050;
2. 首都医科大学附属北京世纪坛医院, 北京 100038

分类号：R749.16;Q7

出版年·卷·期（页码）：2016·35·第五期（653-657）

摘要：

目的：采用生物信息学对阿尔茨海默病（AD）表达谱芯片结果进行数据挖掘，寻找影响AD发病的差异表达基因，为AD的前期有效预防提供一定的基础。方法：从GEO数据库中下载符合条件的表达谱芯片研究结果，通过Expression Console对数据进行标准化处理后，导入Transcriptome Analysis Console进行数据分析比较。将得到的数据导入在线分析工具DAVID、ToppGene、STRING中对差异表达基因进行筛选，同时进行GO分析及Pathway分析。结果：本次研究共纳入3项以人脑海马组织为样本的独立实验。24个差异表达基因中上调的基因共有18个，下调基因6个。NEFM和SV2B基因与神经突触信号传导关系密切，与AD的发病有一定的联系。结论：AD的发病可能与NEFM和SV2B基因密切相关，尚需具体实验进行更深一步研究。

Objective: To analyze the expression information of three independent researches to explore differential genes in the progress of alzheimer disease(AD)and providing a basis for the AD prevention. Methods: Raw data were downloaded from NCBI databases and imported to "Expression Console" to standardize the data and then the results were output to "Transcriptome Analysis Console" for data analysis. After that all different genes were imported to online analysis tools DAVID, ToppGene, STRING for further analyze. Results: The studies included in our research all used human brain hippocampus sample. Through further analysis, 24 differentially expressed genes were analyzed, among which 18 genes were increased and 6 were down-regulated. Through further analysis, two genesNEFM and SV2B were found to be closely related to synapses signal transduction. Conclusion: The pathogenesis of AD may be closely related with NEFM and SV2B genes. Nevertheless, specific experiment will be needed to verify the geness.

参考文献：

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