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Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex
Previous studies based on the ‘Quantal Model’ for synaptic transmission suggest that neurotransmitter release is mediated by a single release site at individual synaptic contacts in the neocortex. However, recent studies seem to contradict this hypothesis and indicate that multi-vesicular release (M...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813366/ https://www.ncbi.nlm.nih.gov/pubmed/31680928 http://dx.doi.org/10.3389/fnsyn.2019.00029 |
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author | Barros-Zulaica, Natalí Rahmon, John Chindemi, Giuseppe Perin, Rodrigo Markram, Henry Muller, Eilif Ramaswamy, Srikanth |
author_facet | Barros-Zulaica, Natalí Rahmon, John Chindemi, Giuseppe Perin, Rodrigo Markram, Henry Muller, Eilif Ramaswamy, Srikanth |
author_sort | Barros-Zulaica, Natalí |
collection | PubMed |
description | Previous studies based on the ‘Quantal Model’ for synaptic transmission suggest that neurotransmitter release is mediated by a single release site at individual synaptic contacts in the neocortex. However, recent studies seem to contradict this hypothesis and indicate that multi-vesicular release (MVR) could better explain the synaptic response variability observed in vitro. In this study we present a novel method to estimate the number of release sites per synapse, also known as the size of the readily releasable pool (N(RRP)), from paired whole-cell recordings of connections between layer 5 thick tufted pyramidal cell (L5_TTPC) in the juvenile rat somatosensory cortex. Our approach extends the work of Loebel et al. (2009) by leveraging a recently published data-driven biophysical model of neocortical tissue. Using this approach, we estimated N(RRP) to be between two to three for synaptic connections between L5_TTPCs. To constrain N(RRP) values for other connections in the microcircuit, we developed and validated a generalization approach using published data on the coefficient of variation (CV) of the amplitudes of post-synaptic potentials (PSPs) from literature and comparing them against in silico experiments. Our study predicts that transmitter release at synaptic connections in the neocortex could be mediated by MVR and provides a data-driven approach to constrain the MVR model parameters in the microcircuit. |
format | Online Article Text |
id | pubmed-6813366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68133662019-11-01 Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex Barros-Zulaica, Natalí Rahmon, John Chindemi, Giuseppe Perin, Rodrigo Markram, Henry Muller, Eilif Ramaswamy, Srikanth Front Synaptic Neurosci Neuroscience Previous studies based on the ‘Quantal Model’ for synaptic transmission suggest that neurotransmitter release is mediated by a single release site at individual synaptic contacts in the neocortex. However, recent studies seem to contradict this hypothesis and indicate that multi-vesicular release (MVR) could better explain the synaptic response variability observed in vitro. In this study we present a novel method to estimate the number of release sites per synapse, also known as the size of the readily releasable pool (N(RRP)), from paired whole-cell recordings of connections between layer 5 thick tufted pyramidal cell (L5_TTPC) in the juvenile rat somatosensory cortex. Our approach extends the work of Loebel et al. (2009) by leveraging a recently published data-driven biophysical model of neocortical tissue. Using this approach, we estimated N(RRP) to be between two to three for synaptic connections between L5_TTPCs. To constrain N(RRP) values for other connections in the microcircuit, we developed and validated a generalization approach using published data on the coefficient of variation (CV) of the amplitudes of post-synaptic potentials (PSPs) from literature and comparing them against in silico experiments. Our study predicts that transmitter release at synaptic connections in the neocortex could be mediated by MVR and provides a data-driven approach to constrain the MVR model parameters in the microcircuit. Frontiers Media S.A. 2019-10-15 /pmc/articles/PMC6813366/ /pubmed/31680928 http://dx.doi.org/10.3389/fnsyn.2019.00029 Text en Copyright © 2019 Barros-Zulaica, Rahmon, Chindemi, Perin, Markram, Muller and Ramaswamy. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Barros-Zulaica, Natalí Rahmon, John Chindemi, Giuseppe Perin, Rodrigo Markram, Henry Muller, Eilif Ramaswamy, Srikanth Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex |
title | Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex |
title_full | Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex |
title_fullStr | Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex |
title_full_unstemmed | Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex |
title_short | Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex |
title_sort | estimating the readily-releasable vesicle pool size at synaptic connections in the neocortex |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813366/ https://www.ncbi.nlm.nih.gov/pubmed/31680928 http://dx.doi.org/10.3389/fnsyn.2019.00029 |
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