Methodology for development of single cell dendritic spine (SCDS) synaptic tagging and capture model using Virtual Cell (VCell).
CaMKII-NMDAR complex
Late-Long term potentiation
Memory allocation
Single cell dendritic spine
Single cell dendritic spine (SCDS) STC-model
Synaptic plasticity
Synaptic tagging and capture
Journal
MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829
Informations de publication
Date de publication:
2023
2023
Historique:
received:
22
11
2022
accepted:
07
02
2023
entrez:
7
3
2023
pubmed:
8
3
2023
medline:
8
3
2023
Statut:
epublish
Résumé
Single cell dendritic spine modelling methodology has been adopted to explain structural plasticity and respective change in the neuronal volume previously. However, the single cell dendrite methodology has not been employed previously to explain one of the important aspects of memory allocation i.e., Synaptic tagging and Capture (STC) hypothesis. It is difficult to relate the physical properties of STC pathways to structural changes and synaptic strength. We create a mathematical model based on earlier reported synaptic tagging networks. We built the model using Virtual Cell (VCell) software and used it to interpret experimental data and investigate the behavior and characteristics of known Synaptic tagging candidates.•We investigate processes associated with synaptic tagging candidates and compare them to the assumptions based on the STC hypothesis.•We assess the behavior of several reported synaptic tagging candidates against the requirements outlined in the synaptic tagging hypothesis.
Identifiants
pubmed: 36879764
doi: 10.1016/j.mex.2023.102070
pii: S2215-0161(23)00073-0
pmc: PMC9984673
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102070Informations de copyright
© 2023 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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