Computational modeling of trans-synaptic nanocolumns, a modulator of synaptic transmission
Understanding synaptic transmission is of crucial importance in neuroscience. The spatial organization of receptors, vesicle release properties and neurotransmitter molecule diffusion can strongly influence features of synaptic currents. Newly discovered structures coined trans-synaptic nanocolumns...
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Published in: | Frontiers in computational neuroscience Vol. 16; p. 969119 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Lausanne
Frontiers Research Foundation
28-09-2022
Frontiers Media S.A |
Subjects: | |
Online Access: | Get full text |
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Summary: | Understanding synaptic transmission is of crucial importance in neuroscience. The spatial organization of receptors, vesicle release properties and neurotransmitter molecule diffusion can strongly influence features of synaptic currents. Newly discovered structures coined trans-synaptic nanocolumns were shown to align presynaptic vesicles release sites and postsynaptic receptors. However, how these structures, spanning a few tens of nanometers, shape synaptic signaling remains little understood. Given the difficulty to probe submicroscopic structures experimentally, computer modeling is a useful approach to investigate the possible functional impacts and role of nanocolumns. In our
in silico
model, as has been experimentally observed, a nanocolumn is characterized by a tight distribution of postsynaptic receptors aligned with the presynaptic vesicle release site and by the presence of trans-synaptic molecules which can modulate neurotransmitter molecule diffusion. In this work, we found that nanocolumns can play an important role in reinforcing synaptic current mostly when the presynaptic vesicle contains a small number of neurotransmitter molecules. Our work proposes a new methodology to investigate
in silico
how the existence of trans-synaptic nanocolumns, the nanometric organization of the synapse and the lateral diffusion of receptors shape the features of the synaptic current such as its amplitude and kinetics. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Vincenzo Marra, University of Leicester, United Kingdom; Andrea Barberis, Italian Institute of Technology (IIT), Italy Edited by: Kaspar Emanuel Vogt, University of Tsukuba, Japan |
ISSN: | 1662-5188 1662-5188 |
DOI: | 10.3389/fncom.2022.969119 |