阿尔茨海默病脑基因表达与异常表观遗传状态的相关性分析

Q3 Biochemistry, Genetics and Molecular Biology
K. Yano
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引用次数: 0

摘要

表观遗传机制的失调与阿尔茨海默病(AD)的发病机制有关。已有研究表明,启动子区域的表观遗传状态可以改变基因表达水平,但它们对相关基因表达的影响及其对疾病的依赖性尚不清楚。利用公开的微阵列和DNA甲基化数据,本文推断非痴呆(ND)和AD大脑中基因表达的相关性如何受到基因组启动子甲基化的影响。计算123个已知低甲基化基因与微阵列数据集中所有其他基因表达水平的Pearson相关系数,并获得平均绝对系数作为该低甲基化基因表达相关性的总体强度。平均绝对系数的分布表明,根据平均系数大于0.15或小于0.15,可以将低甲基化基因分为两类。低甲基化基因在AD脑中的分裂比ND脑中的分裂更明显。另一方面,高甲基化基因有一个单一的优势群,大多数基因的平均系数低于0.15。这些结果表明,DNA甲基化越低,基因表达水平与微阵列数据中其他基因的相关性越高。还计算了已知AD风险基因与微阵列数据中所有其他基因之间的基因表达相关性强度。研究发现,当AD风险基因与AD相关的证据较强时,AD大脑中AD风险基因的平均绝对相关系数更有可能高于0.15,这表明DNA甲基化与AD之间存在联系。总之,DNA甲基化状态与相关基因表达密切相关,尤其是在AD脑中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Correlation between Gene Expression and Aberrant Epigenetic Status in Alzheimer's Disease Brain
Dysregulation of epigenetic mechanisms has been implicated in the pathogenesis of Alzheimer's disease (AD). It has been shown that epigenetic status in promoter regions can alter levels of gene expressions, but their influence on correlated expressions of genes and its dependency on the disease are unclear. Using publicly available microarray and DNA methylation data, this article infer how correlation in gene expression in non-demented (ND) and AD brain may be influenced by genomic promoter methylation. Pearson correlation coefficients of gene expression levels between each of 123 known hypomethylated genes and all other genes in the microarray dataset were calculated, and the mean absolute coefficients were obtained as an overall strength of gene expression correlation of the hypomethylated gene. The distribution of the mean absolute coefficients showed that the hypomethylated genes can be divided into two, by the mean coefficients above or below 0.15. The division of the hypomethylated genes by the mean coefficients was more evident in AD brain than in ND brain. On the other hand, hypermethylated genes had a single dominant group, and the majority of them had the mean coefficient below 0.15. These results suggest that the lower the DNA methylation, the higher the correlation of gene expression levels with the other genes in microarray data. The strength of gene expression correlation was also calculated between known AD risk genes and all other genes in microarray data. It was found that AD risk genes were more likely to have the mean absolute correlation coefficients above 0.15 in AD brain, when the evidence for their association with AD was strong, suggesting the link between DNA methylation and AD. In conclusion DNA methylation status is intimately associated with correlated gene expression, particularly in AD brain.
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来源期刊
IPSJ Transactions on Bioinformatics
IPSJ Transactions on Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
1.90
自引率
0.00%
发文量
3
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