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Título: In Situ Structure of Neuronal C9orf72 Poly-GA Aggregates Reveals Proteasome Recruitment
Fecha de publicación: 8-feb-2018
Editorial: Elsevier
Cita bibliográfica: Cell. Vol. 172, Issue 4, 8 February 2018, Pages 696-705.e12
ISSN: Print: 0092-8674
Electronic: 1097-4172
Palabras clave: ALS
FTD
Dipeptide-repeat proteins
UPS
Cryo-EM
Cryo-ET
Cryo-FIB
Cryoelectron microscopy
Resumen: Protein aggregation and dysfunction of the ubiquitin-proteasome system are hallmarks of many neurodegenerative diseases. Here, we address the elusive link between these phenomena by employing cryo-electron tomography to dissect the molecular architecture of protein aggregates within intact neurons at high resolution. We focus on the poly-Gly-Ala (poly-GA) aggregates resulting from aberrant translation of an expanded GGGGCC repeat in C9orf72, the most common genetic cause of amyotrophic lateral sclerosis and frontotemporal dementia. We find that poly-GA aggregates consist of densely packed twisted ribbons that recruit numerous 26S proteasome complexes, while other macromolecules are largely excluded. Proximity to poly-GA ribbons stabilizes a transient substrate-processing conformation of the 26S proteasome, suggesting stalled degradation. Thus, poly-GA aggregates may compromise neuronal proteostasis by driving the accumulation and functional impairment of a large fraction of cellular proteasomes.
Autor/es principal/es: Guo, Qiang
Lehmer, Carina
Martinez-Sanchez, Antonio
Rudack, Till
Beck, Florian
Hartmann, Hannelore
Pérez-Berlanga, Manuela
Frédéric, Frottin
Hipp, Mark
Hartl, Ulrich
Edbauer, Dieter
Baumeister, Wolfgang
Fernández-Busnadiego, Rubén
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Economía Financiera y Contabilidad
Versión del editor: https://www.sciencedirect.com/science/article/pii/S0092867417315106?via%3Dihub
URI: http://hdl.handle.net/10201/136775
DOI: https://doi.org/10.1016/j.cell.2017.12.030
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 22
Derechos: info:eu-repo/semantics/openAccess
Descripción: © 2018. Elsevier Inc.. This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the accepted version of a published Work that appeared in final form in Cell. To access the final edited and published work see https://doi.org/10.1016/j.cell.2017.12.030
Aparece en las colecciones:Artículos: Ingeniería de la Información y las Comunicaciones

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