Bi-stable chemical systems are the basic building blocks for intracellular
memory and cell fate decision circuits. These circuits are built
from molecules, which are present at low copy numbers and are slowly
diffusing in complex intracellular geometries. The stochastic reaction-diffusion
kinetics of a double-negative feedback system and a MAPK phosphorylation-dephosphorylation
system is analysed with Monte-Carlo simulations of the reaction-diffusion
master equation. The results show the geometry of intracellular reaction
compartments to be important both for the duration and the locality
of biochemical memory. Rules for when the systems lose global hysteresis
by spontaneous separation into spatial domains in opposite phases
are formulated in terms of geometrical constraints, diffusion rates
and attractor escape times. The analysis is facilitated by a new
efficient algorithm for exact sampling of the Markov process corresponding
to the reaction-diffusion master equation.
%0 Journal Article
%1 Elf_2004_230
%A Elf, J.
%A Ehrenberg, M.
%D 2004
%J Systems Biology, IEE Proceedings
%K Carlo MAPK Markov Monte attractor bi-stable biochemical biochemistry, biodiffusion, biology biophysics, cell cellular circuits, computing, decision diffusion, domains, double-negative equation, escape fate feedback feedback, intracellular kinetics master memory, methods, molecular opposite phases, phosphorylation-dephosphorylation process, processes, reaction-diffusion separation, simulations, spatial spontaneous stochastic system, systems systems, times,
%N 2
%P 230--236
%R 10.1049/sb:20045021
%T Spontaneous separation of bi-stable biochemical systems into spatial
domains of opposite phases
%U http://dx.doi.org/10.1049/sb:20045021
%V 1
%X Bi-stable chemical systems are the basic building blocks for intracellular
memory and cell fate decision circuits. These circuits are built
from molecules, which are present at low copy numbers and are slowly
diffusing in complex intracellular geometries. The stochastic reaction-diffusion
kinetics of a double-negative feedback system and a MAPK phosphorylation-dephosphorylation
system is analysed with Monte-Carlo simulations of the reaction-diffusion
master equation. The results show the geometry of intracellular reaction
compartments to be important both for the duration and the locality
of biochemical memory. Rules for when the systems lose global hysteresis
by spontaneous separation into spatial domains in opposite phases
are formulated in terms of geometrical constraints, diffusion rates
and attractor escape times. The analysis is facilitated by a new
efficient algorithm for exact sampling of the Markov process corresponding
to the reaction-diffusion master equation.
@article{Elf_2004_230,
abstract = {Bi-stable chemical systems are the basic building blocks for intracellular
memory and cell fate decision circuits. These circuits are built
from molecules, which are present at low copy numbers and are slowly
diffusing in complex intracellular geometries. The stochastic reaction-diffusion
kinetics of a double-negative feedback system and a MAPK phosphorylation-dephosphorylation
system is analysed with Monte-Carlo simulations of the reaction-diffusion
master equation. The results show the geometry of intracellular reaction
compartments to be important both for the duration and the locality
of biochemical memory. Rules for when the systems lose global hysteresis
by spontaneous separation into spatial domains in opposite phases
are formulated in terms of geometrical constraints, diffusion rates
and attractor escape times. The analysis is facilitated by a new
efficient algorithm for exact sampling of the Markov process corresponding
to the reaction-diffusion master equation.},
added-at = {2009-06-03T11:20:58.000+0200},
author = {Elf, J. and Ehrenberg, M.},
biburl = {https://www.bibsonomy.org/bibtex/28cafd3865762af7232067148d31528db/hake},
description = {The whole bibliography file I use.},
doi = {10.1049/sb:20045021},
file = {Elf_2004_230.pdf:Elf_2004_230.pdf:PDF},
interhash = {edcbf874ae1b483a663784af57559b14},
intrahash = {8cafd3865762af7232067148d31528db},
issn = {1741-2471},
journal = {Systems Biology, IEE Proceedings},
keywords = {Carlo MAPK Markov Monte attractor bi-stable biochemical biochemistry, biodiffusion, biology biophysics, cell cellular circuits, computing, decision diffusion, domains, double-negative equation, escape fate feedback feedback, intracellular kinetics master memory, methods, molecular opposite phases, phosphorylation-dephosphorylation process, processes, reaction-diffusion separation, simulations, spatial spontaneous stochastic system, systems systems, times,},
number = 2,
pages = {230--236},
timestamp = {2009-06-03T11:21:10.000+0200},
title = {Spontaneous separation of bi-stable biochemical systems into spatial
domains of opposite phases},
url = {http://dx.doi.org/10.1049/sb:20045021},
volume = 1,
year = 2004
}