A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.

The inositol trisphosphate receptor ([Formula: see text]) is one of the most important cellular components responsible for oscillations in the cytoplasmic calcium concentration. Over the past decade, two major questions about the [Formula: see text] have arisen. Firstly, how best should the [Formula...

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Main Authors: Pengxing Cao, Xiahui Tan, Graham Donovan, Michael J Sanderson, James Sneyd
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-08-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4133161?pdf=render
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author Pengxing Cao
Xiahui Tan
Graham Donovan
Michael J Sanderson
James Sneyd
author_facet Pengxing Cao
Xiahui Tan
Graham Donovan
Michael J Sanderson
James Sneyd
author_sort Pengxing Cao
collection DOAJ
description The inositol trisphosphate receptor ([Formula: see text]) is one of the most important cellular components responsible for oscillations in the cytoplasmic calcium concentration. Over the past decade, two major questions about the [Formula: see text] have arisen. Firstly, how best should the [Formula: see text] be modeled? In other words, what fundamental properties of the [Formula: see text] allow it to perform its function, and what are their quantitative properties? Secondly, although calcium oscillations are caused by the stochastic opening and closing of small numbers of [Formula: see text], is it possible for a deterministic model to be a reliable predictor of calcium behavior? Here, we answer these two questions, using airway smooth muscle cells (ASMC) as a specific example. Firstly, we show that periodic calcium waves in ASMC, as well as the statistics of calcium puffs in other cell types, can be quantitatively reproduced by a two-state model of the [Formula: see text], and thus the behavior of the [Formula: see text] is essentially determined by its modal structure. The structure within each mode is irrelevant for function. Secondly, we show that, although calcium waves in ASMC are generated by a stochastic mechanism, [Formula: see text] stochasticity is not essential for a qualitative prediction of how oscillation frequency depends on model parameters, and thus deterministic [Formula: see text] models demonstrate the same level of predictive capability as do stochastic models. We conclude that, firstly, calcium dynamics can be accurately modeled using simplified [Formula: see text] models, and, secondly, to obtain qualitative predictions of how oscillation frequency depends on parameters it is sufficient to use a deterministic model.
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spelling doaj.art-2be8ba8e19094976b82a1f456efba2672022-12-21T20:28:37ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582014-08-01108e100378310.1371/journal.pcbi.1003783A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.Pengxing CaoXiahui TanGraham DonovanMichael J SandersonJames SneydThe inositol trisphosphate receptor ([Formula: see text]) is one of the most important cellular components responsible for oscillations in the cytoplasmic calcium concentration. Over the past decade, two major questions about the [Formula: see text] have arisen. Firstly, how best should the [Formula: see text] be modeled? In other words, what fundamental properties of the [Formula: see text] allow it to perform its function, and what are their quantitative properties? Secondly, although calcium oscillations are caused by the stochastic opening and closing of small numbers of [Formula: see text], is it possible for a deterministic model to be a reliable predictor of calcium behavior? Here, we answer these two questions, using airway smooth muscle cells (ASMC) as a specific example. Firstly, we show that periodic calcium waves in ASMC, as well as the statistics of calcium puffs in other cell types, can be quantitatively reproduced by a two-state model of the [Formula: see text], and thus the behavior of the [Formula: see text] is essentially determined by its modal structure. The structure within each mode is irrelevant for function. Secondly, we show that, although calcium waves in ASMC are generated by a stochastic mechanism, [Formula: see text] stochasticity is not essential for a qualitative prediction of how oscillation frequency depends on model parameters, and thus deterministic [Formula: see text] models demonstrate the same level of predictive capability as do stochastic models. We conclude that, firstly, calcium dynamics can be accurately modeled using simplified [Formula: see text] models, and, secondly, to obtain qualitative predictions of how oscillation frequency depends on parameters it is sufficient to use a deterministic model.http://europepmc.org/articles/PMC4133161?pdf=render
spellingShingle Pengxing Cao
Xiahui Tan
Graham Donovan
Michael J Sanderson
James Sneyd
A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.
PLoS Computational Biology
title A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.
title_full A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.
title_fullStr A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.
title_full_unstemmed A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.
title_short A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.
title_sort deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells
url http://europepmc.org/articles/PMC4133161?pdf=render
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