analyzing gene expression from whole tissue vs. different cell types reveals the central role of neurons in predicting severity of alzheimer’s disease分析基因表达的整体组织和不同细胞类型揭示了核心作用的神经元在预测阿尔茨海默病的严重性.pdfVIP
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analyzing gene expression from whole tissue vs. different cell types reveals the central role of neurons in predicting severity of alzheimer’s disease分析基因表达的整体组织和不同细胞类型揭示了核心作用的神经元在预测阿尔茨海默病的严重性
Analyzing Gene Expression from Whole Tissue vs.
Different Cell Types Reveals the Central Role of Neurons
in Predicting Severity of Alzheimer’s Disease
1 1,2
Shiri Stempler *, Eytan Ruppin *
1The Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel, 2 The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
Abstract
Alterations in gene expression resulting from Alzheimer’s disease have received considerable attention in recent years.
Although expression has been investigated separately in whole brain tissue, in astrocytes and in neurons, a rigorous
comparative study quantifying the relative utility of these sources in predicting the progression of Alzheimer’s disease has
been lacking. Here we analyze gene expression from neurons, astrocytes and whole tissues across different brain regions,
and compare their ability to predict Alzheimer’s disease progression by building pertaining classification models based on
gene expression sets annotated to different biological processes. Remarkably, we find that predictions based on neuronal
gene expression are significantly more accurate than those based on astrocyte or whole tissue expression. The findings
explicate the central role of neurons, particularly as compared to glial cells, in the pathogenesis of Alzheimer’s disease, and
emphasize the importance of measuring gene expression in the most relevant (pathogenically ‘proximal’) single cell types.
Citation: Stempler S, Ruppin E (2012) Analyzing Gene Expression from Whole Tissue vs. Different Cell Types Reveals the Central Role of Neurons in Predicting
Severity of Alzheimer’s Disease. PLoS ONE 7(9): e45879. doi:10.1371/journal.pone.0045879
Editor: Andrea C. LeBlanc, McGill University, Canada
Received May 21, 2012; Accepted August 22, 2012; Published S
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