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Strategy to discover full-length amyloid-beta peptide ligands using high-efficiency microarray technology

Academic Article
Publication Date:
2017
abstract:
Although the formation of ?-amyloid (A?) fibrils in neuronal tissues is a hallmark of Alzheimer disease (AD), small-sized A? oligomers rather than mature fibrils have been identified as the most neurotoxic species. Therefore, the design of new inhibitors, able to prevent the aggregation of A?, is believed to be a promising therapeutic approach to AD. Unfortunately, the short-lived intermediate structures that occur in a solution along the A? aggregation pathway escape conventional experimental investigations and there is urgent need of new tools aimed at the discovery of agents targeting monomeric A? and blocking the early steps of amyloid aggregation. Here, we show the combination of high-efficiency slides (HESs) with peptide microarrays as a promising tool for identifying small peptides that bind A? monomers. To this aim, HESs with two immobilized reference peptides, (i.e., KLVFF and Semax) with opposite behavior, were investigated for binding to fluorescently labeled A? peptide. Transmission electron microscopy was used to demonstrate A? fibrillar aggregates missing. The use of HESs was critical to ensure convenient output of the fluorescent microarrays. The resulting sensitivity, as well as the low sample consumption and the high potential for miniaturization, suggests that the proposed combination of peptide microarrays and highly efficient slides would be a very effective technology for molecule profiling in AD drug discovery.
Iris type:
01.01 Articolo in rivista
Keywords:
Alzheimer disease; Silicon oxide
List of contributors:
Sciacca, MICHELE FRANCESCO MARIA; Attanasio, Francesco; Milardi, Danilo
Authors of the University:
ATTANASIO FRANCESCO
MILARDI DANILO
SCIACCA MICHELE FRANCESCO MARIA
Handle:
https://iris.cnr.it/handle/20.500.14243/391273
Published in:
BEILSTEIN JOURNAL OF NANOTECHNOLOGY
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85037535994&origin=inward
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