In Silico Disease Regulatory Pathway construction – Alzheimer’s Disease

ASIAIR > College of Computer Science > Department of Biomedical informatics > Theses & dissertations > Item 310904400/2629

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2629

Title:	In Silico Disease Regulatory Pathway construction – Alzheimer’s Disease
Authors:	Liao Huang-Sheng
Contributors:	Department of Bioinformatics
Keywords:	Alzheimer’s disease (AD);nerve degenerates;transcription factor;gene expression;protein-protein interaction;diseaseregulatory pathway interaction
Date:	2008
Issue Date:	2009-11-06 14:33:03 (UTC+0)
Publisher:	Asia University
Abstract:	Alzheimer’s disease (AD) is a progressive neurodegneerative disease, causing the human memory and certain instinct loss gradually. The goal of this thesis is to identify AD-related transcription factors (TFs), construct the transcription factors’ protein-protein interaction network and gene regulation network. This research employed the NCBI dataset to collect AD-related proteins, and made use of several protein datasets to screen out the AD-related TFs. These AD-related TFs are subjected to further queries, such as using the HPRD, the Gene Ontology and the NCBI GEO databases to filter out the tissue expression sites (such as neuron, cereblllum and brain), biological functions and the gene expression profile information respectively. If a TF get mutated or defected, it could have profound effects on the downstream genes in the gene regulation pathway, and causing diseases. This work identified five AD-related TFs and ten AD-related proteins. Among these 15 proteins four are recorded in the existing literature. In addition 17 genes are predicted to be regulated by three of the 15 TFs. This putative transcription factor protein-protein interaction network and the gene regulation network could possibly used as a molecular map for AD study. Furthermore, we made use of the ArrayExpress microarray data to identify AD-related TFs. We found one AD-related proteins and 11 TFs, in which five perform transcription factor activity function and the rest 6 perform the DNA binding function. All results are available at http://210.70.82.82/ADwebsite/index.php.
Appears in Collections:	[Department of Biomedical informatics ] Theses & dissertations

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