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The MeshCODE to scale – Visualising synaptic binary information

Barnett, Samuel F. H. and Goult, Benjamin T (2022) The MeshCODE to scale – Visualising synaptic binary information. [Preprint] (doi:10.1101/2022.06.16.496395) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:95486)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1101/2022.06.16.496395

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 cells 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: Preprint
DOI/Identification number: 10.1101/2022.06.16.496395
Refereed: No
Name of pre-print platform: bioRxiv
Uncontrolled keywords: integrin, talin, vinculin, cytoskeleton, actin, MeshCODE, dendritic spine, memory, synapse, gearbox
Subjects: Q Science > QH Natural history > QH581.2 Cell Biology
Institutional Unit: Schools > School of Natural Sciences > Biosciences
Former Institutional Unit:
Divisions > Division of Natural Sciences > Biosciences
Depositing User: Ben Goult
Date Deposited: 17 Jun 2022 21:02 UTC
Last Modified: 28 Aug 2026 15:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/95486 (The current URI for this page, for reference purposes)

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