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)
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Official URL: https://doi.org/10.3389/fncel.2022.1014629 |
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 |
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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: | 05 Nov 2024 13:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/98138 (The current URI for this page, for reference purposes) |
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