Name
Title | ||
|---|---|---|
A Deterministic Model Predicts The Properties Of Stochastic Calcium Oscillations In Airway Smooth Muscle Cells |
Abstract | ||
|---|---|---|
The inositol trisphosphate receptor (IP3R) 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 IP3R have arisen. Firstly, how best should the IP3R be modeled? In other words, what fundamental properties of the IP3R 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 IP3R, 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 IP3R, and thus the behavior of the IP3R 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, IP3R stochasticity is not essential for a qualitative prediction of how oscillation frequency depends on model parameters, and thus deterministic IP3R models demonstrate the same level of predictive capability as do stochastic models. We conclude that, firstly, calcium dynamics can be accurately modeled using simplified IP3R models, and, secondly, to obtain qualitative predictions of how oscillation frequency depends on parameters it is sufficient to use a deterministic model. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1371/journal.pcbi.1003783 | PLOS COMPUTATIONAL BIOLOGY |
Keywords | DocType | Volume |
calcium,calcium signaling,stochastic processes,linear models | Journal | 10 |
Issue | ISSN | Citations |
8 | 1553-7358 | 1 |
PageRank | References | Authors |
0.41 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengxing Cao | 1 | 4 | 0.94 |
| Xiahui Tan | 2 | 1 | 0.41 |
| Graham M. Donovan | 3 | 2 | 0.79 |
| Michael J. Sanderson | 4 | 88 | 10.63 |
| James Sneyd | 5 | 47 | 15.43 |