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Searching For Amyloid Interactions

ScienceDaily (Jan. 22, 2008) — Researchers have undertaken a large-scale investigation into the molecular environment of the amyloid precursor protein (APP), a protein centrally associated with Alzheimer's disease.

A defining hallmark of Alzheimer's is the extracellular accumulation of amyloid plaques in the diseased brain. These plaques arise from the cleavage of APP, which generates short, sticky fragments called amyloid B-peptides. Despite intense research efforts, however, the function of APP remains enigmatic and only a few proteins are known to interact with it.

Gerold Schmitt-Ulms and colleagues employed a technique called 'time-controlled transcardiac perfusion cross-linking" to uncover more APP-interacting proteins. They pumped a chemical through a mouse's body that would permanently cross-link any proteins that were in close proximity. They could then fish out APP from the brain and study what it was linked to.

From their perfusion, Schmitt-Ulms and colleagues confirmed eight previously reported APP interactions and also identified over 30 new, potentially interacting proteins. They also mapped the interactions of two proteins related to APP that are not known to cause disease, to sense which interactions the three related proteins had in common and which were APP-specific; interestingly the majority of the potential binding partners were specific to APP.

This work constitutes the most comprehensive analysis of the APP interactome to date and may finally shed light on the functional roles of APP in the brain. The researchers believe further investigations of these new interactions may reveal an "Achilles' heel" in the biology of APP that can be exploited for diagnosis or therapy.

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The above story is reprinted from materials provided by American Society for Biochemistry and Molecular Biology, via EurekAlert!, a service of AAAS.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


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Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

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