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Dynamic Regulatory Network Reconstruction for Alzheimer’s Disease Based on Matrix Decomposition Techniques
Joint Authors
Mou, Xiaoyang
Zhang, Xin
Yang, Yang
Zhi, Xing
Kong, Wei
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Alzheimer’s disease (AD) is the most common form of dementia and leads to irreversible neurodegenerative damage of the brain.
Finding the dynamic responses of genes, signaling proteins, transcription factor (TF) activities, and regulatory networks of the progressively deteriorative progress of AD would represent a significant advance in discovering the pathogenesis of AD.
However, the high throughput technologies of measuring TF activities are not yet available on a genome-wide scale.
In this study, based on DNA microarray gene expression data and a priori information of TFs, network component analysis (NCA) algorithm is applied to determining the TF activities and regulatory influences on TGs of incipient, moderate, and severe AD.
Based on that, the dynamical gene regulatory networks of the deteriorative courses of AD were reconstructed.
To select significant genes which are differentially expressed in different courses of AD, independent component analysis (ICA), which is better than the traditional clustering methods and can successfully group one gene in different meaningful biological processes, was used.
The molecular biological analysis showed that the changes of TF activities and interactions of signaling proteins in mitosis, cell cycle, immune response, and inflammation play an important role in the deterioration of AD.
American Psychological Association (APA)
Kong, Wei& Mou, Xiaoyang& Zhi, Xing& Zhang, Xin& Yang, Yang. 2014. Dynamic Regulatory Network Reconstruction for Alzheimer’s Disease Based on Matrix Decomposition Techniques. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-505866
Modern Language Association (MLA)
Kong, Wei…[et al.]. Dynamic Regulatory Network Reconstruction for Alzheimer’s Disease Based on Matrix Decomposition Techniques. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-505866
American Medical Association (AMA)
Kong, Wei& Mou, Xiaoyang& Zhi, Xing& Zhang, Xin& Yang, Yang. Dynamic Regulatory Network Reconstruction for Alzheimer’s Disease Based on Matrix Decomposition Techniques. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-505866
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505866