Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module

We study an alternative approach to model the dynamical behaviors of biological feedback loop, that is, a type-dependent spin system, this class of stochastic models was introduced by Fernández et. al [13], and are useful since take account to inherent variability of gene expression.We analyze a non...

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Main Author: Manuel González-Navarrete
Format: Article
Language:English
Published: AIMS Press 2016-06-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2016026
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author Manuel González-Navarrete
author_facet Manuel González-Navarrete
author_sort Manuel González-Navarrete
collection DOAJ
description We study an alternative approach to model the dynamical behaviors of biological feedback loop, that is, a type-dependent spin system, this class of stochastic models was introduced by Fernández et. al [13], and are useful since take account to inherent variability of gene expression.We analyze a non-symmetric feedback module being an extension for the repressilator, the first synthetic biological oscillator, invented by Elowitz and Leibler [7]. We consider a mean-field dynamics for a type-dependent Ising model, and then study the empirical-magnetization vector representing concentration of molecules. We apply a convergence result from stochastic jump processes to deterministic trajectories and present a bifurcation analysis for the associated dynamical system. We show that non-symmetric module under study can exhibit very rich behaviours, including the empirical oscillations described by repressilator.
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series Mathematical Biosciences and Engineering
spelling doaj-art-862bd2b6f19c4b4b8b896d6cee7a71582025-01-24T02:36:57ZengAIMS PressMathematical Biosciences and Engineering1551-00182016-06-0113598199810.3934/mbe.2016026Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback moduleManuel González-Navarrete0Institute of Mathematics and Statistics, Universidade de São Paulo, Rua do Matão, 1010, CEP 05508-090, São PauloWe study an alternative approach to model the dynamical behaviors of biological feedback loop, that is, a type-dependent spin system, this class of stochastic models was introduced by Fernández et. al [13], and are useful since take account to inherent variability of gene expression.We analyze a non-symmetric feedback module being an extension for the repressilator, the first synthetic biological oscillator, invented by Elowitz and Leibler [7]. We consider a mean-field dynamics for a type-dependent Ising model, and then study the empirical-magnetization vector representing concentration of molecules. We apply a convergence result from stochastic jump processes to deterministic trajectories and present a bifurcation analysis for the associated dynamical system. We show that non-symmetric module under study can exhibit very rich behaviours, including the empirical oscillations described by repressilator.https://www.aimspress.com/article/doi/10.3934/mbe.2016026bifurcation analysis.type-dependent ising modelcontinuous-time jump processesdynamical systemfeedback loopsrepressilator
spellingShingle Manuel González-Navarrete
Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module
Mathematical Biosciences and Engineering
bifurcation analysis.
type-dependent ising model
continuous-time jump processes
dynamical system
feedback loops
repressilator
title Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module
title_full Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module
title_fullStr Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module
title_full_unstemmed Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module
title_short Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module
title_sort type dependent stochastic ising model describing the dynamics of a non symmetric feedback module
topic bifurcation analysis.
type-dependent ising model
continuous-time jump processes
dynamical system
feedback loops
repressilator
url https://www.aimspress.com/article/doi/10.3934/mbe.2016026
work_keys_str_mv AT manuelgonzaleznavarrete typedependentstochasticisingmodeldescribingthedynamicsofanonsymmetricfeedbackmodule