Research Article
A domain level interaction network of amyloid precursor protein and Aβ of Alzheimer's disease
Article first published online: 13 APR 2010
DOI: 10.1002/pmic.200900773
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Additional Information
How to Cite
Perreau, V. M., Orchard, S., Adlard, P. A., Bellingham, S. A., Cappai, R., Ciccotosto, G. D., Cowie, T. F., Crouch, P. J., Duce, J. A., Evin, G., Faux, N. G., Hill, A. F., Hung, Y. H., James, S. A., Li, Q.-X., Mok, S. S., Tew, D. J., White, A. R., Bush, A. I., Hermjakob, H. and Masters, C. L. (2010), A domain level interaction network of amyloid precursor protein and Aβ of Alzheimer's disease. Proteomics, 10: 2377–2395. doi: 10.1002/pmic.200900773
Publication History
- Issue published online: 15 JUN 2010
- Article first published online: 13 APR 2010
- Manuscript Accepted: 27 MAR 2010
- Manuscript Revised: 23 MAR 2010
- Manuscript Received: 23 NOV 2009
Funded by
- NHMRC
Keywords:
- Alzheimer's disease;
- Amyloid precursor protein;
- Protein–protein interaction;
- Systems biology
Abstract
The primary constituent of the amyloid plaque, β-amyloid (Aβ), is thought to be the causal “toxic moiety” of Alzheimer's disease. However, despite much work focused on both Aβ and its parent protein, amyloid precursor protein (APP), the functional roles of APP and its cleavage products remain to be fully elucidated. Protein–protein interaction networks can provide insight into protein function, however, high-throughput data often report false positives and are in frequent disagreement with low-throughput experiments. Moreover, the complexity of the CNS is likely to be under represented in such databases. Therefore, we curated the published work characterizing both APP and Aβ to create a protein interaction network of APP and its proteolytic cleavage products, with annotation, where possible, to the level of APP binding domain and isoform. This is the first time that an interactome has been refined to domain level, essential for the interpretation of APP due to the presence of multiple isoforms and processed fragments. Gene ontology and network analysis were used to identify potentially novel functional relationships among interacting proteins.

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