The long-loop recycling (LLR) of synaptic components as a question of economics.


Journal

Molecular and cellular neurosciences
ISSN: 1095-9327
Titre abrégé: Mol Cell Neurosci
Pays: United States
ID NLM: 9100095

Informations de publication

Date de publication:
09 2023
Historique:
received: 28 02 2023
revised: 15 05 2023
accepted: 19 05 2023
medline: 4 9 2023
pubmed: 27 5 2023
entrez: 26 5 2023
Statut: ppublish

Résumé

The pre- and post-synaptic compartments contain a variety of molecules that are known to recycle between the plasma membrane and intracellular organelles. The recycling steps have been amply described in functional terms, with, for example, synaptic vesicle recycling being essential for neurotransmitter release, and postsynaptic receptor recycling being a fundamental feature of synaptic plasticity. However, synaptic protein recycling may also serve a more prosaic role, simply ensuring the repeated use of specific components, thereby minimizing the energy expenditure on the synthesis of synaptic proteins. This type of process has been recently described for components of the extracellular matrix, which undergo long-loop recycling (LLR), to and from the cell body. Here we suggest that the energy-saving recycling of synaptic components may be more widespread than is generally acknowledged, potentially playing a role in both synaptic vesicle protein usage and postsynaptic receptor metabolism.

Identifiants

pubmed: 37236414
pii: S1044-7431(23)00056-8
doi: 10.1016/j.mcn.2023.103862
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

103862

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no competing interests.

Auteurs

Svilen Veselinov Georgiev (SV)

University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Germany; International Max Planck Research School for Neuroscience, Göttingen, Germany. Electronic address: svilenveselinov.georgiev@med.uni-goettingen.de.

Silvio O Rizzoli (SO)

University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Germany; Biostructural Imaging of Neurodegeneration (BIN) Center, Göttingen, Germany; Excellence Cluster Multiscale Bioimaging, Göttingen, Germany. Electronic address: srizzol@gwdg.de.

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Classifications MeSH