title: Detecting and analyzing differentially activated pathways in brain regions of Alzheimer's disease patients.
abstract: Alzheimer's disease (AD) generally results in neuronal loss due to protein dysfunction in various brain regions. Genome-wide data have provided new opportunities to analyze the underlying mechanisms of AD. Here, we present a novel network-based systems biology framework to identify and analyze differentially activated pathways by integrating human protein-protein interaction data and gene expression profile data in six brain regions. Specifically, we propose a new scoring system by ranking the edges associated with AD. Then, an edge expansion algorithm is designed to identify the dysfunctional pathways implicated in AD pathogenesis in six brain regions respectively. The analyses of the similarities and differences of these dysfunctional pathways provide insights into understanding the dynamics of AD progression in six brain regions from a network perspective, which will further shed light on the pathogenesis of AD.
authors.affiliation: Key Laboratory of Systems Biology, SIBS-Novo Nordisk Translational Research Centre for PreDiabetes, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. zpliu@sibs.ac.cn lnchen@sibs.ac.cn
authors.forename: Zhi-Ping
authors.initials: ZP
authors.lastname: Liu
authors.forename: Yong
authors.initials: Y
authors.lastname: Wang
authors.forename: Xiang-Sun
authors.initials: XS
authors.lastname: Zhang
authors.forename: Weiming
authors.initials: W
authors.lastname: Xia
authors.forename: Luonan
authors.initials: L
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000235:genetics* / Q000378:metabolism; D001921:Brain / Q000378:metabolism* / Q000473:pathology; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D008957:Models, Genetic; D025941:Protein Interaction Mapping; D015398:Signal Transduction / Q000235:genetics*