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© 2022 Bérard et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Neurodegenerative disorders refer to a group of diseases commonly associated with abnormal protein accumulation and aggregation in the central nervous system. However, the exact role of protein aggregation in the pathophysiology of these disorders remains unclear. This gap in knowledge is due to the lack of experimental models that allow for the spatiotemporal control of protein aggregation, and the investigation of early dynamic events associated with inclusion formation. Here, we report on the development of a light-inducible protein aggregation (LIPA) system that enables spatiotemporal control of α-synuclein (α-syn) aggregation into insoluble deposits called Lewy bodies (LBs), the pathological hallmark of Parkinson disease (PD) and other proteinopathies. We demonstrate that LIPA-α-syn inclusions mimic key biochemical, biophysical, and ultrastructural features of authentic LBs observed in PD-diseased brains. In vivo, LIPA-α-syn aggregates compromise nigrostriatal transmission, induce neurodegeneration and PD-like motor impairments. Collectively, our findings provide a new tool for the generation, visualization, and dissection of the role of α-syn aggregation in PD.

Details

Title
A light-inducible protein clustering system for in vivo analysis of α-synuclein aggregation in Parkinson disease
Author
Bérard, Morgan; Sheta, Razan; Sarah Malvaut https://orcid.org/0000-0001-6812-5019; Rodriguez-Aller, Raquel; Maxime Teixeira https://orcid.org/0000-0001-5506-7331; Walid Idi https://orcid.org/0000-0002-9850-0446; Roxanne Turmel https://orcid.org/0000-0002-5632-160X; Melanie Alpaugh https://orcid.org/0000-0002-2782-5454; Dubois, Marilyn; Dahmene, Manel; Charleen Salesse https://orcid.org/0000-0001-9520-2649; Lamontagne-Proulx, Jérôme; St-Pierre, Marie-Kim; Tavassoly, Omid; Wen Luo https://orcid.org/0000-0003-1785-9615; Esther Del Cid-Pellitero; Raza Qazi; Jae-Woong Jeong; Thomas M. Durcan https://orcid.org/0000-0003-3942-1956; Luc Vallières https://orcid.org/0000-0002-0737-1539; Marie-Eve Tremblay https://orcid.org/0000-0003-2863-9626; Soulet, Denis; Lévesque, Martin; Francesca Cicchetti https://orcid.org/0000-0001-5490-1961; Edward A. Fon https://orcid.org/0000-0002-5520-6239; Armen Saghatelyan https://orcid.org/0000-0003-4962-0465; Abid Oueslati https://orcid.org/0000-0003-1122-7086
First page
e3001578
Section
Methods and Resources
Publication year
2022
Publication date
Mar 2022
Publisher
Public Library of Science
ISSN
15449173
e-ISSN
15457885
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2651150341
Copyright
© 2022 Bérard et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.