title: Network Approaches to the Understanding of Alzheimer's Disease: From Model Organisms to Humans.
abstract: It is becoming increasingly evident that Alzheimer's disease cannot be considered as the outcome of a single pathway, but rather we should view it as a system, that is, a network of interactions between large numbers of different protein molecules. In the last few years, probably because of the inherent limitations of traditional methods and because of the great increase in availability of sequencing data, this type of approach is being used more and more. In the following, we will discuss what constitutes a "network approach," what are its pros and cons, a number of recent case studies and finally what are the future perspectives of this type of analysis.
authors.affiliation: Illawarra Health and Medical Research Institute, School of Biological Sciences, University of Wollongong, Northfields Avenue, Wollongong, NSW, 2522, Australia.
authors.forename: Justin
authors.initials: J
authors.lastname: Yerbury
authors.forename: Dan
authors.initials: D
authors.lastname: Bean
authors.forename: Giorgio
authors.initials: G
authors.lastname: Favrin
mesh_terms: D017668:Age of Onset; D000544:Alzheimer Disease / Q000453:epidemiology / Q000235:genetics / Q000378:metabolism*; D000818:Animals; D006801:Humans; D051379:Mice; D025941:Protein Interaction Mapping; D012984:Software; D049490:Systems Biology / Q000379:methods*