基于图像的阿尔茨海默病通路分析系统生物学方法。

Yue Huang, Xiaobo Zhou, Benchun Miao, Marta Lipinski, Zheng Xia, Guangshu Hu, Alexei Degterev, Junying Yuan, Stephen T C Wong
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引用次数: 0

摘要

我们报告了阿尔茨海默病候选机制的多因素分析,利用高含量分析、基因表达微阵列和线性回归模型整合神经元成像数据和海马基因表达数据。我们的分析鉴定了几个基因,这些基因可能有助于淀粉样蛋白- β (Aβ)损伤神经元的不同图像特征或表型。我们进一步分析了这些基因的基因网络和生物学途径,并发现了一些可能导致淀粉样斑块引发神经突丢失的新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Image Based System Biology Approach for Alzheimer's Disease Pathway Analysis.

An Image Based System Biology Approach for Alzheimer's Disease Pathway Analysis.

An Image Based System Biology Approach for Alzheimer's Disease Pathway Analysis.

An Image Based System Biology Approach for Alzheimer's Disease Pathway Analysis.

We report multifactorial analysis of candidate mechanisms of Alzheimer's disease utilizing high content analysis, gene expression microarray, and linear regression model to integrate neuronal imaging data with hippocampal gene expression data. Our analysis led to the identification of several genes that may contribute to different image traits or phenotypes in the amyloid-beta (Aβ) injured neurons. Gene network and biological pathways analysis for those genes were further analyzed and led to several novel pathways that may contribute to amyloid plaque triggered neurite loss.

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