Analyzing microarray data of Alzheimer's using cluster analysis to identify the biomarker genes.
Analyzing microarray data of Alzheimer's using cluster analysis to identify the biomarker genes.
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DOI：
10.1155/2012/649456
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发表时间：
2012
影响因子：
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通讯作者：
Gumpeny RS
中科院分区：
文献类型：
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作者：
Guttula SV;Allam A;Gumpeny RS
阿尔茨海默病的特征是大脑皮质区域出现老年斑和神经原纤维缠结。实验数据取自《基因表达总览》。在表达模式的基础上，进行系统聚类分析和TreeView对基因进行分组。随着时间的推移，表达的动态变化和不同的表达模式支持了复杂的局部环境的概念。TreeView允许可视化组织的数据。获得了24个高表达基因的列表。三个基因，SORL1，APP和APOE，被怀疑导致阿尔茨海默氏症，而其他21个基因与其他疾病有关，但也可能被发现与阿尔茨海默氏症有关，它们是TMEM59，CCT4，IGF2R，SFPQ，PRDX3，RNF14，IDS，SSBP1，SYNE2，TXNL4A，STXBP3，SMARCB1，ULK2，AGTPBP1，FABP7，CALB1，H2AFY，COPA，SAP18，ATIC和SYNCRIP。
Alzheimer is characterized by the presence of senile plaques and neurofibrillary tangles in cortical regions of the brain. The experimental data is taken from Gene Expression Omnibus. A hierarchical Cluster analysis and TreeView were performed to group genes on the basis of the expression pattern. The dynamic change of expression over time and diverse patterns of expression support the concept of a complex local milieu. TreeView allows the organized data to be visualized. List of 24 genes were obtained which showed high expression levels. Three genes, SORL1, APP, and APOE, are suspected to cause Alzheimer's whereas the other 21 genes are related to other diseases but may also be found to be associated with Alzheimer's, and these are TMEM59, CCT4, IGF2R, SFPQ, PRDX3, RNF14, IDS, SSBP1, SYNE2, TXNL4A, STXBP3, SMARCB1, ULK2, AGTPBP1, FABP7, CALB1, H2AFY, COPA, SAP18, ATIC and SYNCRIP.