An image based system biology approach for Alzheimer's disease pathway analysis

Yue Huang; Xiaobo Zhou; Benchun Miao; Marta Lipinski; Zheng Xia; Guangshu Hu; Alexei Degterev; Junying Yuan; Stephen T.C. Wong

doi:10.1109/LISSA.2009.4906726

An image based system biology approach for Alzheimer's disease pathway analysis

Yue Huang, Xiaobo Zhou, Benchun Miao, Marta Lipinski, Zheng Xia, Guangshu Hu, Alexei Degterev, Junying Yuan, Stephen T.C. Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009
Pages	128-132
Number of pages	5
DOIs	https://doi.org/10.1109/LISSA.2009.4906726
State	Published - 2009
Event	2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009 - Bethesda, MD, United States Duration: Apr 9 2009 → Apr 10 2009

Publication series

Name	2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009

Other

Other	2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009
Country/Territory	United States
City	Bethesda, MD
Period	4/9/09 → 4/10/09

ASJC Scopus subject areas

Computational Theory and Mathematics
Biomedical Engineering
Electrical and Electronic Engineering

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10.1109/LISSA.2009.4906726

Cite this

Huang, Y., Zhou, X., Miao, B., Lipinski, M., Xia, Z., Hu, G., Degterev, A., Yuan, J., & Wong, S. T. C. (2009). An image based system biology approach for Alzheimer's disease pathway analysis. In 2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009 (pp. 128-132). Article 4906726 (2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009). https://doi.org/10.1109/LISSA.2009.4906726

An image based system biology approach for Alzheimer's disease pathway analysis. / Huang, Yue; Zhou, Xiaobo; Miao, Benchun et al.
2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009. 2009. p. 128-132 4906726 (2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huang, Y, Zhou, X, Miao, B, Lipinski, M, Xia, Z, Hu, G, Degterev, A, Yuan, J & Wong, STC 2009, An image based system biology approach for Alzheimer's disease pathway analysis. in 2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009., 4906726, 2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009, pp. 128-132, 2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009, Bethesda, MD, United States, 4/9/09. https://doi.org/10.1109/LISSA.2009.4906726

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abstract = "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.",

author = "Yue Huang and Xiaobo Zhou and Benchun Miao and Marta Lipinski and Zheng Xia and Guangshu Hu and Alexei Degterev and Junying Yuan and Wong, {Stephen T.C.}",

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AU - Wong, Stephen T.C.

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AB - 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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An image based system biology approach for Alzheimer's disease pathway analysis

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