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Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells
Unipolar Brush Cells (UBCs) have been suggested to play a critical role in cerebellar functioning, yet the corresponding cellular mechanisms remain poorly understood. UBCs have recently been reported to generate, in addition to early-onset glutamate receptor-dependent synaptic responses, a late-onse...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138490/ https://www.ncbi.nlm.nih.gov/pubmed/25191224 http://dx.doi.org/10.3389/fncel.2014.00237 |
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author | Subramaniyam, Sathyaa Solinas, Sergio Perin, Paola Locatelli, Francesca Masetto, Sergio D'Angelo, Egidio |
author_facet | Subramaniyam, Sathyaa Solinas, Sergio Perin, Paola Locatelli, Francesca Masetto, Sergio D'Angelo, Egidio |
author_sort | Subramaniyam, Sathyaa |
collection | PubMed |
description | Unipolar Brush Cells (UBCs) have been suggested to play a critical role in cerebellar functioning, yet the corresponding cellular mechanisms remain poorly understood. UBCs have recently been reported to generate, in addition to early-onset glutamate receptor-dependent synaptic responses, a late-onset response (LOR) composed of a slow depolarizing ramp followed by a spike burst (Locatelli et al., 2013). The LOR activates as a consequence of synaptic activity and involves an intracellular cascade modulating H- and TRP-current gating. In order to assess the LOR mechanisms, we have developed a UBC multi-compartmental model (including soma, dendrite, initial segment, and axon) incorporating biologically realistic representations of ionic currents and a cytoplasmic coupling mechanism regulating TRP and H channel gating. The model finely reproduced UBC responses to current injection, including a burst triggered by a low-threshold spike (LTS) sustained by CaLVA currents, a persistent discharge sustained by CaHVA currents, and a rebound burst following hyperpolarization sustained by H- and CaLVA-currents. Moreover, the model predicted that H- and TRP-current regulation was necessary and sufficient to generate the LOR and its dependence on the intensity and duration of mossy fiber activity. Therefore, the model showed that, using a basic set of ionic channels, UBCs generate a rich repertoire of bursts, which could effectively implement tunable delay-lines in the local microcircuit. |
format | Online Article Text |
id | pubmed-4138490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41384902014-09-04 Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells Subramaniyam, Sathyaa Solinas, Sergio Perin, Paola Locatelli, Francesca Masetto, Sergio D'Angelo, Egidio Front Cell Neurosci Neuroscience Unipolar Brush Cells (UBCs) have been suggested to play a critical role in cerebellar functioning, yet the corresponding cellular mechanisms remain poorly understood. UBCs have recently been reported to generate, in addition to early-onset glutamate receptor-dependent synaptic responses, a late-onset response (LOR) composed of a slow depolarizing ramp followed by a spike burst (Locatelli et al., 2013). The LOR activates as a consequence of synaptic activity and involves an intracellular cascade modulating H- and TRP-current gating. In order to assess the LOR mechanisms, we have developed a UBC multi-compartmental model (including soma, dendrite, initial segment, and axon) incorporating biologically realistic representations of ionic currents and a cytoplasmic coupling mechanism regulating TRP and H channel gating. The model finely reproduced UBC responses to current injection, including a burst triggered by a low-threshold spike (LTS) sustained by CaLVA currents, a persistent discharge sustained by CaHVA currents, and a rebound burst following hyperpolarization sustained by H- and CaLVA-currents. Moreover, the model predicted that H- and TRP-current regulation was necessary and sufficient to generate the LOR and its dependence on the intensity and duration of mossy fiber activity. Therefore, the model showed that, using a basic set of ionic channels, UBCs generate a rich repertoire of bursts, which could effectively implement tunable delay-lines in the local microcircuit. Frontiers Media S.A. 2014-08-20 /pmc/articles/PMC4138490/ /pubmed/25191224 http://dx.doi.org/10.3389/fncel.2014.00237 Text en Copyright © 2014 Subramaniyam, Solinas, Perin, Locatelli, Masetto and D'Angelo. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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 Subramaniyam, Sathyaa Solinas, Sergio Perin, Paola Locatelli, Francesca Masetto, Sergio D'Angelo, Egidio Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
title | Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
title_full | Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
title_fullStr | Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
title_full_unstemmed | Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
title_short | Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
title_sort | computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138490/ https://www.ncbi.nlm.nih.gov/pubmed/25191224 http://dx.doi.org/10.3389/fncel.2014.00237 |
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