Rational design of a conformation-specific antibody for the quantification of Aβ oligomers

Autor: Ryan Limbocker, Tom Scheidt, Francesco A. Aprile, Michele Vendruscolo, Patricia C. Salinas, Pietro Sormanni, Michele Perni, Tuomas P. J. Knowles, Johnny Habchi, Christopher M. Dobson, Tomas Sneideris, Shianne Chhangur, Gabriella T. Heller, Francesco Simone Ruggeri, Steven F. Lee, Marina Podpolny, Lisa-Maria Needham, Benedetta Mannini
Přispěvatelé: Alzheimer's Society, Medical Research Council (MRC), Aprile, Francesco A [0000-0002-5040-4420], Sormanni, Pietro [0000-0002-6228-2221], Podpolny, Marina [0000-0003-2226-1183], Ruggeri, Francesco S [0000-0002-1232-1907], Perni, Michele [0000-0001-7593-8376], Scheidt, Tom [0000-0002-0185-7730], Mannini, Benedetta [0000-0001-6812-7348], Habchi, Johnny [0000-0003-4898-9623], Lee, Steven F [0000-0003-4492-5139], Vendruscolo, Michele [0000-0002-3616-1610], Apollo - University of Cambridge Repository
Rok vydání: 2020
Předmět:
0301 basic medicine
Amyloid
Protein Conformation
Protein design
Peptide
Computational biology
Protein aggregation
Hippocampus
Epitope
Antibodies
protein aggregation
03 medical and health sciences
Epitopes
Mice
Protein Aggregates
0302 clinical medicine
Antigen
Alzheimer Disease
Antibody Specificity
Animals
Caenorhabditis elegans
protein design
chemistry.chemical_classification
Science & Technology
Multidisciplinary
Amyloid beta-Peptides
Chemistry
Rational design
amyloid
Alzheimer's disease
Single-Domain Antibodies
Biological Sciences
Multidisciplinary Sciences
ALZHEIMERS-DISEASE
Disease Models
Animal

Biophysics and Computational Biology
030104 developmental biology
Science & Technology - Other Topics
Protein folding
Target protein
Alzheimer’s disease
030217 neurology & neurosurgery
Protein Binding
Zdroj: Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 117(24), 13509-13518
Proceedings of the National Academy of Sciences of the United States of America 117 (2020) 24
ISSN: 1091-6490
0027-8424
Popis: Significance The accurate quantification of the amounts of small oligomeric assemblies formed by the amyloid β (Aβ) peptide represents a major challenge in the Alzheimer’s field. There is therefore great interest in the development of methods to specifically detect these oligomers by distinguishing them from larger aggregates. The availability of these methods will enable the development of effective diagnostic and therapeutic interventions for this and other diseases related to protein misfolding and aggregation. We describe here a single-domain antibody able to selectively quantify oligomers of the Aβ peptide in isolation and in complex protein mixtures from animal models of disease.
Protein misfolding and aggregation is the hallmark of numerous human disorders, including Alzheimer’s disease. This process involves the formation of transient and heterogeneous soluble oligomers, some of which are highly cytotoxic. A major challenge for the development of effective diagnostic and therapeutic tools is thus the detection and quantification of these elusive oligomers. Here, to address this problem, we develop a two-step rational design method for the discovery of oligomer-specific antibodies. The first step consists of an “antigen scanning” phase in which an initial panel of antibodies is designed to bind different epitopes covering the entire sequence of a target protein. This procedure enables the determination through in vitro assays of the regions exposed in the oligomers but not in the fibrillar deposits. The second step involves an “epitope mining” phase, in which a second panel of antibodies is designed to specifically target the regions identified during the scanning step. We illustrate this method in the case of the amyloid β (Aβ) peptide, whose oligomers are associated with Alzheimer’s disease. Our results show that this approach enables the accurate detection and quantification of Aβ oligomers in vitro, and in Caenorhabditis elegans and mouse hippocampal tissues.
Databáze: OpenAIRE