Stochastic fire-diffuse-fire model with realistic cluster dynamics

Living organisms use waves that propagate through excitable media to transport information. Ca2 + waves are a paradigmatic example of this type of processes. A large hierarchy of Ca2 + signals that range from localized release events to global waves has been observed in Xenopus laevis oocytes. In th...

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Detalles Bibliográficos
Autores principales:	Zysman, Daniel, Ponce Dawson, Silvina
Publicado:	2010
Materias:	Calcium dynamics Cluster dynamics Cluster models Discrete stochastic models Endoplasmic reticulum Excitable media Experimental observation Fire-diffuse-fire models Living organisms Reaction diffusion equations Transition regimes Xenopus laevis oocytes Biology Linear equations Stochastic systems Sugars Stochastic models
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v82_n3_p_Calabrese http://hdl.handle.net/20.500.12110/paper_15393755_v82_n3_p_Calabrese
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_15393755_v82_n3_p_Calabrese
record_format	dspace
spelling	paper:paper_15393755_v82_n3_p_Calabrese2023-06-08T16:20:47Z Stochastic fire-diffuse-fire model with realistic cluster dynamics Zysman, Daniel Ponce Dawson, Silvina Calcium dynamics Cluster dynamics Cluster models Discrete stochastic models Endoplasmic reticulum Excitable media Experimental observation Fire-diffuse-fire models Living organisms Reaction diffusion equations Transition regimes Xenopus laevis oocytes Biology Linear equations Stochastic systems Sugars Stochastic models Living organisms use waves that propagate through excitable media to transport information. Ca2 + waves are a paradigmatic example of this type of processes. A large hierarchy of Ca2 + signals that range from localized release events to global waves has been observed in Xenopus laevis oocytes. In these cells, Ca2 + release occurs trough inositol 1,4,5-trisphosphate receptors (IP 3 Rs) which are organized in clusters of channels located on the membrane of the endoplasmic reticulum. In this article we construct a stochastic model for a cluster of IP 3 R 's that replicates the experimental observations reported in. We then couple this phenomenological cluster model with a reaction-diffusion equation, so as to have a discrete stochastic model for calcium dynamics. The model we propose describes the transition regimes between isolated release and steadily propagating waves as the IP 3 concentration is increased. © 2010 The American Physical Society. Fil:Zysman, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ponce Dawson, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v82_n3_p_Calabrese http://hdl.handle.net/20.500.12110/paper_15393755_v82_n3_p_Calabrese
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Calcium dynamics Cluster dynamics Cluster models Discrete stochastic models Endoplasmic reticulum Excitable media Experimental observation Fire-diffuse-fire models Living organisms Reaction diffusion equations Transition regimes Xenopus laevis oocytes Biology Linear equations Stochastic systems Sugars Stochastic models
spellingShingle	Calcium dynamics Cluster dynamics Cluster models Discrete stochastic models Endoplasmic reticulum Excitable media Experimental observation Fire-diffuse-fire models Living organisms Reaction diffusion equations Transition regimes Xenopus laevis oocytes Biology Linear equations Stochastic systems Sugars Stochastic models Zysman, Daniel Ponce Dawson, Silvina Stochastic fire-diffuse-fire model with realistic cluster dynamics
topic_facet	Calcium dynamics Cluster dynamics Cluster models Discrete stochastic models Endoplasmic reticulum Excitable media Experimental observation Fire-diffuse-fire models Living organisms Reaction diffusion equations Transition regimes Xenopus laevis oocytes Biology Linear equations Stochastic systems Sugars Stochastic models
description	Living organisms use waves that propagate through excitable media to transport information. Ca2 + waves are a paradigmatic example of this type of processes. A large hierarchy of Ca2 + signals that range from localized release events to global waves has been observed in Xenopus laevis oocytes. In these cells, Ca2 + release occurs trough inositol 1,4,5-trisphosphate receptors (IP 3 Rs) which are organized in clusters of channels located on the membrane of the endoplasmic reticulum. In this article we construct a stochastic model for a cluster of IP 3 R 's that replicates the experimental observations reported in. We then couple this phenomenological cluster model with a reaction-diffusion equation, so as to have a discrete stochastic model for calcium dynamics. The model we propose describes the transition regimes between isolated release and steadily propagating waves as the IP 3 concentration is increased. © 2010 The American Physical Society.
author	Zysman, Daniel Ponce Dawson, Silvina
author_facet	Zysman, Daniel Ponce Dawson, Silvina
author_sort	Zysman, Daniel
title	Stochastic fire-diffuse-fire model with realistic cluster dynamics
title_short	Stochastic fire-diffuse-fire model with realistic cluster dynamics
title_full	Stochastic fire-diffuse-fire model with realistic cluster dynamics
title_fullStr	Stochastic fire-diffuse-fire model with realistic cluster dynamics
title_full_unstemmed	Stochastic fire-diffuse-fire model with realistic cluster dynamics
title_sort	stochastic fire-diffuse-fire model with realistic cluster dynamics
publishDate	2010
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v82_n3_p_Calabrese http://hdl.handle.net/20.500.12110/paper_15393755_v82_n3_p_Calabrese
work_keys_str_mv	AT zysmandaniel stochasticfirediffusefiremodelwithrealisticclusterdynamics AT poncedawsonsilvina stochasticfirediffusefiremodelwithrealisticclusterdynamics
_version_	1768542473474277376

Stochastic fire-diffuse-fire model with realistic cluster dynamics

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