Screening for Amyloid Aggregation: In-Silico, In-Vitro and In-Vivo Detection
Anna Villar-Pique, Alba Espargaro, Salvador Ventura and Raimon Sabate
Pages 477-489 (13)
Protein misfolding and aggregation into amyloid structures is linked with an increasing number of nonneuropathic
(either localized or systemic) and neurodegenerative human disorders. In the present review, we compile and
describe methods, which have been developed to predict, detect and characterize amyloid and amyloid-like protein deposits.
We focus in the state-of-the-art methodologies to study and image amyloid aggregation in-vitro, from qualitative and
low-resolution techniques to methods addressed to resolve protein structures at atomic level. We also recapitulate the most
relevant literature describing approaches that have been demonstrated to be able to detect and characterize protein aggregation
in cells and living organisms, as well as methodologies to report cytotoxicity associated to amyloid formation.
Overall, the aim of this review is to illustrate computational and experimental methods to characterize and predict in-vitro
and in-vivo amyloid aggregation, providing the readers valuable information to elect the most appropriate techniques at
Amyloid, amyloid detection methods, protein aggregation, protein folding.
Departament de Bioquímica i Biologia Molecular, Facultat de Biociències, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain.