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Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples

Spatio-temporal dynamics of a variety of proteins is, among other things, regulated by post-translational modifications of these proteins. Such modifications can thus influence stability and biochemical activities of the proteins, activity and stability of their upstream targets within specific sign...

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Detalles Bibliográficos
Autores principales: Eliaš, Ján, Clairambault, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4151873/
https://www.ncbi.nlm.nih.gov/pubmed/25210594
http://dx.doi.org/10.1016/j.csbj.2014.05.007
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author Eliaš, Ján
Clairambault, Jean
author_facet Eliaš, Ján
Clairambault, Jean
author_sort Eliaš, Ján
collection PubMed
description Spatio-temporal dynamics of a variety of proteins is, among other things, regulated by post-translational modifications of these proteins. Such modifications can thus influence stability and biochemical activities of the proteins, activity and stability of their upstream targets within specific signalling pathways. Commonly used mathematical tools for such protein–protein (and/or protein-mRNA) interactions in single cells, namely, Michaelis–Menten and Hill kinetics, yielding a system of ordinary differential equations, are extended here into (non-linear) partial differential equations by taking into account a more realistic spatial representation of the environment where these reactions occur. In the modelling framework under consideration, all interactions occur in a cell divided into two compartments, the nucleus and the cytoplasm, connected by the semipermeable nuclear membrane and bounded by the impermeable cell membrane. Passive transport mechanism, modelled by the so-called Kedem–Katchalsky boundary conditions, is used here to represent migration of species throughout the nuclear membrane. Nonlinear systems of partial differential equations are solved by the semi-implicit Rothe method. Examples of two spatial oscillators are shown. Namely, these are the circadian rhythm for concentration of the FRQ protein in Neurospora crassa and oscillatory dynamics observed in the activation and regulation of the p53 protein following DNA damage in mammalian cells.
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spelling pubmed-41518732014-09-10 Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples Eliaš, Ján Clairambault, Jean Comput Struct Biotechnol J Mini Review Spatio-temporal dynamics of a variety of proteins is, among other things, regulated by post-translational modifications of these proteins. Such modifications can thus influence stability and biochemical activities of the proteins, activity and stability of their upstream targets within specific signalling pathways. Commonly used mathematical tools for such protein–protein (and/or protein-mRNA) interactions in single cells, namely, Michaelis–Menten and Hill kinetics, yielding a system of ordinary differential equations, are extended here into (non-linear) partial differential equations by taking into account a more realistic spatial representation of the environment where these reactions occur. In the modelling framework under consideration, all interactions occur in a cell divided into two compartments, the nucleus and the cytoplasm, connected by the semipermeable nuclear membrane and bounded by the impermeable cell membrane. Passive transport mechanism, modelled by the so-called Kedem–Katchalsky boundary conditions, is used here to represent migration of species throughout the nuclear membrane. Nonlinear systems of partial differential equations are solved by the semi-implicit Rothe method. Examples of two spatial oscillators are shown. Namely, these are the circadian rhythm for concentration of the FRQ protein in Neurospora crassa and oscillatory dynamics observed in the activation and regulation of the p53 protein following DNA damage in mammalian cells. Research Network of Computational and Structural Biotechnology 2014-06-11 /pmc/articles/PMC4151873/ /pubmed/25210594 http://dx.doi.org/10.1016/j.csbj.2014.05.007 Text en © 2014 Eliaš and Clairambault.
spellingShingle Mini Review
Eliaš, Ján
Clairambault, Jean
Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples
title Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples
title_full Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples
title_fullStr Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples
title_full_unstemmed Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples
title_short Reaction–diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples
title_sort reaction–diffusion systems for spatio-temporal intracellular protein networks: a beginner's guide with two examples
topic Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4151873/
https://www.ncbi.nlm.nih.gov/pubmed/25210594
http://dx.doi.org/10.1016/j.csbj.2014.05.007
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