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Network-Based Analysis for Uncovering Mechanisms Underlying Alzheimer’s Disease

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Systems Biology of Alzheimer's Disease

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1303))

Abstract

Alzheimer’s disease (AD) is known to be a multifactorial neurodegenerative disorder, and is one of the main causes of dementia in the elderly. Many studies have demonstrated molecules involved in the pathogenesis of AD, however its underlying mechanisms remain obscure. It may be simplistic to try to explain the disease based on the role of a few genes only. Accumulating new, huge amount of information from e.g. genome, proteome and interactome datasets and new knowledge, we are now able to clarify and characterize diseases essentially as a result of dysfunction of molecular networks. Recent studies have indicated that relevant genes affected in human diseases concentrate in a part of the network, often called as “disease module.” In the case of AD, some disease-associated pathways seem different, but some of them are clearly disease-related and coherent. This suggests the existence of a common pathway that negatively drives from healthy state to disease state (i.e., the disease module(s)). Additionally, such disease modules should dynamically change through AD progression. Thus, network-level approaches are indispensable to address unknown mechanisms of AD. In this chapter, we introduce network strategies using gene co-expression and protein interaction networks.

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Acknowledgement

We thank Drs. Takeshi Ikeuchi and Kensaku Kasuga of Niigata University for helpful discussions.

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Authors and Affiliations

  1. Department of Molecular Genetics, Center for Bioresources, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan

    Masataka Kikuchi, Akinori Miyashita & Ryozo Kuwano

  2. Research Association for Biotechnology, Tokyo, 105-0003, Japan

    Masataka Kikuchi

  3. Department of Bioclinical Informatics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, 980-8575, Japan

    Soichi Ogishima, Satoshi Mizuno & Jun Nakaya

  4. Department of Bioinformatics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan

    Hiroshi Tanaka

Authors
  1. Masataka Kikuchi
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  2. Soichi Ogishima
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  3. Satoshi Mizuno
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  4. Akinori Miyashita
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  5. Ryozo Kuwano
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  6. Jun Nakaya
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  7. Hiroshi Tanaka
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Corresponding author

Correspondence to Soichi Ogishima .

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Editors and Affiliations

  1. Department of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom

    Juan I. Castrillo

  2. Department of Biochemistry & Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom

    Stephen G. Oliver

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Kikuchi, M. et al. (2016). Network-Based Analysis for Uncovering Mechanisms Underlying Alzheimer’s Disease. In: Castrillo, J., Oliver, S. (eds) Systems Biology of Alzheimer's Disease. Methods in Molecular Biology, vol 1303. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2627-5_29

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  • DOI: https://doi.org/10.1007/978-1-4939-2627-5_29

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-2626-8

  • Online ISBN: 978-1-4939-2627-5

  • eBook Packages: Springer Protocols

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