Single-molecule studies of amyloid proteins: from biophysical properties to diagnostic perspectives.


Journal

Quarterly reviews of biophysics
ISSN: 1469-8994
Titre abrégé: Q Rev Biophys
Pays: England
ID NLM: 0144032

Informations de publication

Date de publication:
05 11 2020
Historique:
entrez: 5 11 2020
pubmed: 6 11 2020
medline: 20 7 2021
Statut: epublish

Résumé

In neurodegenerative diseases, a wide range of amyloid proteins or peptides such as amyloid-beta and α-synuclein fail to keep native functional conformations, followed by misfolding and self-assembling into a diverse array of aggregates. The aggregates further exert toxicity leading to the dysfunction, degeneration and loss of cells in the affected organs. Due to the disordered structure of the amyloid proteins, endogenous molecules, such as lipids, are prone to interact with amyloid proteins at a low concentration and influence amyloid cytotoxicity. The heterogeneity of amyloid proteinscomplicates the understanding of the amyloid cytotoxicity when relying only on conventional bulk and ensemble techniques. As complementary tools, single-molecule techniques (SMTs) provide novel insights into the different subpopulations of a heterogeneous amyloid mixture as well as the cytotoxicity, in particular as involved in lipid membranes. This review focuses on the recent advances of a series of SMTs, including single-molecule fluorescence imaging, single-molecule force spectroscopy and single-nanopore electrical recording, for the understanding of the amyloid molecular mechanism. The working principles, benefits and limitations of each technique are discussed and compared in amyloid protein related studies.. We also discuss why SMTs show great potential and are worthy of further investigation with feasibility studies as diagnostic tools of neurodegenerative diseases and which limitations are to be addressed.

Identifiants

pubmed: 33148356
doi: 10.1017/S0033583520000086
pii: S0033583520000086
doi:

Substances chimiques

Amyloidogenic Proteins 0
Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12

Auteurs

Jinming Wu (J)

Department of Biology and Chemistry, Paul Scherrer Institute, 5232, Villigen, Switzerland.

Chan Cao (C)

Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland.

Rolf Antonie Loch (RA)

Department of Biology and Chemistry, Paul Scherrer Institute, 5232, Villigen, Switzerland.

Ann Tiiman (A)

Department of Clinical Neuroscience (CNS), Center for Molecular Medicine CMM L8:01, Karolinska Institutet, 17176, Stockholm, Sweden.

Jinghui Luo (J)

Department of Biology and Chemistry, Paul Scherrer Institute, 5232, Villigen, Switzerland.

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Classifications MeSH