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Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells

Intracellular Ca(2+) concentrations play a crucial role in the physiological interaction between Ca(2+) channels and Ca(2+)-activated K(+) channels. The commonly used model, a Ca(2+) pool with a short relaxation time, fails to simulate interactions occurring at multiple time scales. On the other han...

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Autores principales: Anwar, Haroon, Hong, Sungho, De Schutter, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411306/
https://www.ncbi.nlm.nih.gov/pubmed/20981513
http://dx.doi.org/10.1007/s12311-010-0224-3
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author Anwar, Haroon
Hong, Sungho
De Schutter, Erik
author_facet Anwar, Haroon
Hong, Sungho
De Schutter, Erik
author_sort Anwar, Haroon
collection PubMed
description Intracellular Ca(2+) concentrations play a crucial role in the physiological interaction between Ca(2+) channels and Ca(2+)-activated K(+) channels. The commonly used model, a Ca(2+) pool with a short relaxation time, fails to simulate interactions occurring at multiple time scales. On the other hand, detailed computational models including various Ca(2+) buffers and pumps can result in large computational cost due to radial diffusion in large compartments, which may be undesirable when simulating morphologically detailed Purkinje cell models. We present a method using a compensating mechanism to replace radial diffusion and compared the dynamics of different Ca(2+) buffering models during generation of a dendritic Ca(2+) spike in a single compartment model of a PC dendritic segment with Ca(2+) channels of P- and T-type and Ca(2+)-activated K(+) channels of BK- and SK-type. The Ca(2+) dynamics models used are (1) a single Ca(2+) pool; (2) two Ca(2+) pools, respectively, for the fast and slow transients; (3) detailed Ca(2+) dynamics with buffers, pump, and diffusion; and (4) detailed Ca(2+) dynamics with buffers, pump, and diffusion compensation. Our results show that detailed Ca(2+) dynamics models have significantly better control over Ca(2+)-activated K(+) channels and lead to physiologically more realistic simulations of Ca(2+) spikes and bursting. Furthermore, the compensating mechanism largely eliminates the effect of removing diffusion from the model on Ca(2+) dynamics over multiple time scales. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12311-010-0224-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-34113062012-08-23 Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells Anwar, Haroon Hong, Sungho De Schutter, Erik Cerebellum Article Intracellular Ca(2+) concentrations play a crucial role in the physiological interaction between Ca(2+) channels and Ca(2+)-activated K(+) channels. The commonly used model, a Ca(2+) pool with a short relaxation time, fails to simulate interactions occurring at multiple time scales. On the other hand, detailed computational models including various Ca(2+) buffers and pumps can result in large computational cost due to radial diffusion in large compartments, which may be undesirable when simulating morphologically detailed Purkinje cell models. We present a method using a compensating mechanism to replace radial diffusion and compared the dynamics of different Ca(2+) buffering models during generation of a dendritic Ca(2+) spike in a single compartment model of a PC dendritic segment with Ca(2+) channels of P- and T-type and Ca(2+)-activated K(+) channels of BK- and SK-type. The Ca(2+) dynamics models used are (1) a single Ca(2+) pool; (2) two Ca(2+) pools, respectively, for the fast and slow transients; (3) detailed Ca(2+) dynamics with buffers, pump, and diffusion; and (4) detailed Ca(2+) dynamics with buffers, pump, and diffusion compensation. Our results show that detailed Ca(2+) dynamics models have significantly better control over Ca(2+)-activated K(+) channels and lead to physiologically more realistic simulations of Ca(2+) spikes and bursting. Furthermore, the compensating mechanism largely eliminates the effect of removing diffusion from the model on Ca(2+) dynamics over multiple time scales. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12311-010-0224-3) contains supplementary material, which is available to authorized users. Springer-Verlag 2010-10-28 2012 /pmc/articles/PMC3411306/ /pubmed/20981513 http://dx.doi.org/10.1007/s12311-010-0224-3 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Anwar, Haroon
Hong, Sungho
De Schutter, Erik
Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells
title Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells
title_full Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells
title_fullStr Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells
title_full_unstemmed Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells
title_short Controlling Ca(2+)-Activated K(+) Channels with Models of Ca(2+) Buffering in Purkinje Cells
title_sort controlling ca(2+)-activated k(+) channels with models of ca(2+) buffering in purkinje cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411306/
https://www.ncbi.nlm.nih.gov/pubmed/20981513
http://dx.doi.org/10.1007/s12311-010-0224-3
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