Computational insights into mRNA and protein dynamics underlying synaptic plasticity rules.
Computation
Dendrites
Models
Molecular dynamics
Neural circuits
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
06 2023
Historique:
received:
14
10
2022
revised:
14
03
2023
accepted:
15
03
2023
medline:
5
6
2023
pubmed:
25
3
2023
entrez:
24
3
2023
Statut:
ppublish
Résumé
Recent advances in experimental techniques provide an unprecedented peek into the intricate molecular dynamics inside synapses and dendrites. The experimental insights into the molecular turnover revealed that such processes as diffusion, active transport, spine uptake, and local protein synthesis could dynamically modulate the copy numbers of plasticity-related molecules in synapses. Subsequently, theoretical models were designed to understand the interaction of these processes better and to explain how local synaptic plasticity cues can up or down-regulate the molecular copy numbers across synapses. In this review, we discuss the recent advances in experimental techniques and computational models to highlight how these complementary approaches can provide insight into molecular cross-talk across synapses, ultimately allowing us to develop biologically-inspired neural network models to understand brain function.
Identifiants
pubmed: 36963534
pii: S1044-7431(23)00040-4
doi: 10.1016/j.mcn.2023.103846
pmc: PMC10274545
pii:
doi:
Substances chimiques
RNA, Messenger
0
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
103846Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None.
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