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Network approaches to the understanding of Alzheimer’s disease: from model organisms to humans

Chapter


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


  •   Yerbury, Justin J.
  •   Bean, Dan (external author)
  •   Favrin, Giorgio (external author)

Publication Date


  • 2016

Citation


  • Yerbury, J., Bean, D. & Favrin, G. (2016). Network approaches to the understanding of Alzheimer’s disease: from model organisms to humans. In J. I. Castrillo & S. Oliver (Eds.), Systems Biology of Alzheimer's Disease (pp. 447-458). New York: Humana Press.

Scopus Eid


  • 2-s2.0-84938614463

Ro Metadata Url


  • http://ro.uow.edu.au/ihmri/577

Book Title


  • Systems Biology of Alzheimer's Disease

Start Page


  • 447

End Page


  • 458

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


  •   Yerbury, Justin J.
  •   Bean, Dan (external author)
  •   Favrin, Giorgio (external author)

Publication Date


  • 2016

Citation


  • Yerbury, J., Bean, D. & Favrin, G. (2016). Network approaches to the understanding of Alzheimer’s disease: from model organisms to humans. In J. I. Castrillo & S. Oliver (Eds.), Systems Biology of Alzheimer's Disease (pp. 447-458). New York: Humana Press.

Scopus Eid


  • 2-s2.0-84938614463

Ro Metadata Url


  • http://ro.uow.edu.au/ihmri/577

Book Title


  • Systems Biology of Alzheimer's Disease

Start Page


  • 447

End Page


  • 458