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http://purl.uniprot.org/citations/37710351http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
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Background

The accumulation of amyloid beta (Aβ) peptides in fibrils is prerequisite for Alzheimer's disease (AD). Our understanding of the proteins that promote Aβ fibril formation and mediate neurotoxicity has been limited due to technical challenges in isolating pure amyloid fibrils from brain extracts.

Methods

To investigate how amyloid fibrils form and cause neurotoxicity in AD brain, we developed a robust biochemical strategy. We benchmarked the success of our purifications using electron microscopy, amyloid dyes, and a large panel of Aβ immunoassays. Tandem mass-spectrometry based proteomic analysis workflows provided quantitative measures of the amyloid fibril proteome. These methods allowed us to compare amyloid fibril composition from human AD brains, three amyloid mouse models, transgenic Aβ42 flies, and Aβ42 seeded cultured neurons.

Results

Amyloid fibrils are primarily composed by Aβ42 and unexpectedly harbor Aβ38 but generally lack Aβ40 peptides. Multidimensional quantitative proteomics allowed us to redefine the fibril proteome by identifying 20 new amyloid-associated proteins. Notably, we confirmed 57 previously reported plaque-associated proteins. We validated a panel of these proteins as bona fide amyloid-interacting proteins using antibodies and orthogonal proteomic analysis. One metal-binding chaperone metallothionein-3 is tightly associated with amyloid fibrils and modulates fibril formation in vitro. Lastly, we used a transgenic Aβ42 fly model to test if knock down or over-expression of fibril-interacting gene homologues modifies neurotoxicity. Here, we could functionally validate 20 genes as modifiers of Aβ42 toxicity in vivo.

Conclusions

These discoveries and subsequent confirmation indicate that fibril-associated proteins play a key role in amyloid formation and AD pathology."xsd:string
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http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Upadhyay A."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Savas J.N."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Rincon-Limas D.E."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Kofler J."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Vassar R."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Chhangani D."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/author"Rao N.R."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/date"2023"xsd:gYear
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/name"Mol Neurodegener"xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/pages"61"xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/title"Amyloid fibril proteomics of AD brains reveals modifiers of aggregation and toxicity."xsd:string
http://purl.uniprot.org/citations/37710351http://purl.uniprot.org/core/volume"18"xsd:string
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