α-Synuclein-derived lipoparticles in the study of α-Synuclein amyloid fibril formation.

Amyloid formation Lipid-modulated protein aggregation Membrane interaction Nanodiscs α-Synuclein αSyn-LiPs

Journal

Chemistry and physics of lipids
ISSN: 1873-2941
Titre abrégé: Chem Phys Lipids
Pays: Ireland
ID NLM: 0067206

Informations de publication

Date de publication:
05 2019
Historique:
received: 31 10 2018
revised: 21 02 2019
accepted: 22 02 2019
pubmed: 4 3 2019
medline: 15 2 2020
entrez: 4 3 2019
Statut: ppublish

Résumé

Aggregation of the protein α-Synuclein (αSyn) is of great interest due to its involvement in the pathology of Parkinson's disease. However, under in vitro conditions αSyn is very soluble and kinetically stable for extended time periods. As a result, most αSyn aggregation assays rely on conditions that artificially induce or enhance aggregation, often by introducing rather non-native conditions. It has been shown that αSyn interacts with membranes and conditions have been identified in which membranes can promote as well as inhibit αSyn aggregation. It has also been shown that αSyn has the intrinsic capability to assemble lipid-protein-particles, in a similar way as apolipoproteins can form lipid-bilayer nanodiscs. Here we show that these αSyn-lipid particles (αSyn-LiPs) can also effectively induce, accelerate or inhibit αSyn aggregation, depending on the applied conditions. αSyn-LiPs therefore provide a general platform and additional tool, complementary to other setups, to study various aspects of αSyn amyloid fibril formation.

Identifiants

pubmed: 30826264
pii: S0009-3084(18)30213-5
doi: 10.1016/j.chemphyslip.2019.02.009
pmc: PMC6451039
pii:
doi:

Substances chimiques

Amyloid 0
Lipids 0
alpha-Synuclein 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

57-65

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

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Auteurs

Marcel Falke (M)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Julian Victor (J)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Michael M Wördehoff (MM)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Alessia Peduzzo (A)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Tao Zhang (T)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Gunnar F Schröder (GF)

Institute of Complex Systems (ICS-6), Forschungszentrum Jülich, Germany.

Alexander K Buell (AK)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Wolfgang Hoyer (W)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany.

Manuel Etzkorn (M)

Institut für Physikalische Biologie, Heinrich-Heine-University Düsseldorf, Germany; Institute of Complex Systems (ICS-6), Forschungszentrum Jülich, Germany. Electronic address: manuel.etzkorn@hhu.de.

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Classifications MeSH