ArticleBiophysical journal2008
Stochastic binding of Ca2+ ions in the dyadic cleft; continuous versus random walk description of diffusion.
Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Electrodiffusion dynamics in the cardiomyocyte dyad at nano-scale resolution using the Poisson-Nernst-Planck (PNP) equations.PLoS computational biology · 2025Article
- T cell CaFrontiers in immunology · 2023Review
- Close agreement between deterministic versus stochastic modeling of first-passage time to vesicle fusion.Biophysical journal · 2022Article
- Influence of T-Bar on Calcium Concentration Impacting Release Probability.Frontiers in computational neuroscience · 2022Article
- Arrhythmogenic Current Generation by Myofilament-Triggered CaBiophysical journal · 2019Article
- Studying dyadic structure-function relationships: a review of current modeling approaches and new insights into CaClinical Medicine Insights. Cardiology · 2017Article
- Hybrid finite element and Brownian dynamics method for charged particles.The Journal of chemical physics · 2016Article
- A multiscale computational model of spatially resolved calcium cycling in cardiac myocytes: from detailed cleft dynamics to the whole cell concentration profiles.Frontiers in physiology · 2015Article
- The influence of Ca²⁺ buffers on free [Ca²⁺] fluctuations and the effective volume of Ca²⁺ microdomains.Biophysical journal · 2014Article
- Microdomain calcium fluctuations as a colored noise process.Frontiers in genetics · 2014Article
- Hybrid finite element and Brownian dynamics method for diffusion-controlled reactions.The Journal of chemical physics · 2012Article
- How does the ryanodine receptor in the ventricular myocyte wake up: by a single or by multiple open L-type Ca2+ channels?European biophysics journal : EBJ · 2012Article
- Cardiac myocytes and local signaling in nano-domains.Progress in biophysics and molecular biology · 2011Review
- A solvable model for the diffusion and reaction of neurotransmitters in a synaptic junction.BMC biophysics · 2011Article
- Exact and approximate stochastic simulation of intracellular calcium dynamics.Journal of biomedicine & biotechnology · 2011Review
- Control of Ca2+ release by action potential configuration in normal and failing murine cardiomyocytes.Biophysical journal · 2010Article
- A comparison of deterministic and stochastic simulations of neuronal vesicle release models.Physical biology · 2010Article
- A univariate model of calcium release in the dyadic cleft of cardiac myocytes.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2009Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ca(2+) signaling in the dyadic cleft in ventricular myocytes is fundamentally discrete and stochastic. We study the stochastic binding of single Ca(2+) ions to receptors in the cleft using two different models of diffusion: a stochastic and discrete Random Walk (RW) model, and a deterministic continuous model. We investigate whether the latter model, together with a stochastic receptor model, can reproduce binding events registered in fully stochastic RW simulations. By evaluating the continuous model goodness-of-fit for a large range of parameters, we present evidence that it can. Further, we show that the large fluctuations in binding rate observed at the level of single time-steps are integrated and smoothed at the larger timescale of binding events, which explains the continuous model goodness-of-fit. With these results we demonstrate that the stochasticity and discreteness of the Ca(2+) signaling in the dyadic cleft, determined by single binding events, can be described using a deterministic model of Ca(2+) diffusion together with a stochastic model of the binding events, for a specific range of physiological relevant parameters. Time-consuming RW simulations can thus be avoided. We also present a new analytical model of bimolecular binding probabilities, which we use in the RW simulations and the statistical analysis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.