Synaptic logistics: Competing over shared resources.

Competition Neurodegenerative disorder Neurologistics Synapse Synaptic plasticity

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:
06 2023
Historique:
received: 23 11 2022
revised: 05 05 2023
accepted: 05 05 2023
medline: 5 6 2023
pubmed: 13 5 2023
entrez: 12 5 2023
Statut: ppublish

Résumé

High turnover rates of synaptic proteins imply that synapses constantly need to replace their constituent building blocks. This requires sophisticated supply chains and potentially exposes synapses to shortages as they compete for limited resources. Interestingly, competition in neurons has been observed at different scales. Whether it is competition of receptors for binding sites inside a single synapse or synapses fighting for resources to grow. Here we review the implications of such competition for synaptic function and plasticity. We identify multiple mechanisms that synapses use to safeguard themselves against supply shortages and identify a fundamental neurologistic trade-off governing the sizes of reserve pools of essential synaptic building blocks.

Identifiants

pubmed: 37172922
pii: S1044-7431(23)00052-0
doi: 10.1016/j.mcn.2023.103858
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

103858

Informations de copyright

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

Déclaration de conflit d'intérêts

Declaration of competing interest We declare having no competing interest.

Auteurs

Anne-Sophie Hafner (AS)

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands. Electronic address: anne-sophie.hafner@donders.ru.nl.

Jochen Triesch (J)

Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany; Goethe University, Frankfurt am Main, Germany.

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Classifications MeSH