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The MeshCODE to scale—visualising synaptic binary information

Barnett, Samuel F. H., Goult, Benjamin T. (2022) The MeshCODE to scale—visualising synaptic binary information. Frontiers in Cellular Neuroscience, 16 . Article Number 1014629. E-ISSN 1662-5102. (doi:10.3389/fncel.2022.1014629) (KAR id:98138)

Abstract

The Mercator projection map of the world provides a useful, but distorted, view of the relative scale of countries. Current cellular models suffer from a similar distortion. Here, we undertook an in-depth structural analysis of the molecular dimensions in the cell’s computational machinery, the MeshCODE, that is assembled from a meshwork of binary switches in the scaffolding proteins talin and vinculin. Talin contains a series of force-dependent binary switches and each domain switching state introduces quantised step-changes in talin length on a micrometre scale. The average dendritic spine is 1 μm in diameter so this analysis identifies a plausible Gearbox-like mechanism for dynamic regulation of synaptic function, whereby the positioning of enzymes and substrates relative to each other, mechanically-encoded by the MeshCODE switch patterns, might control synaptic transmission. Based on biophysical rules and experimentally derived distances, this analysis yields a novel perspective on biological digital information.

Item Type: Article
DOI/Identification number: 10.3389/fncel.2022.1014629
Additional information: For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Uncontrolled keywords: Cellular Neuroscience, integrin, talin, vinculin, cytoskeleton, actin, dendritic spine, memory, synapse
Subjects: Q Science
Divisions: Divisions > Division of Natural Sciences > Biosciences
Funders: Biotechnology and Biological Sciences Research Council (https://ror.org/00cwqg982)
Cancer Research UK (https://ror.org/054225q67)
Depositing User: Ben Goult
Date Deposited: 21 Nov 2022 09:57 UTC
Last Modified: 20 Nov 2023 15:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/98138 (The current URI for this page, for reference purposes)

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