Literature DB >> 14615206

Control of spatially heterogeneous and time-varying cellular reaction networks: a new summation law.

Mark A Peletier1, Hans V Westerhoff, Boris N Kholodenko.   

Abstract

A hallmark of a plethora of intracellular signaling pathways is the spatial separation of activation and deactivation processes that potentially results in precipitous gradients of activated proteins. The classical metabolic control analysis (MCA), which quantifies the influence of an individual process on a system variable as the control coefficient, cannot be applied to spatially separated protein networks. The present paper unravels the principles that govern the control over the fluxes and intermediate concentrations in spatially heterogeneous reaction networks. Our main results are two types of control summation theorems. The first type is a non-trivial generalization of the classical theorems to systems with spatially and temporally varying concentrations. In this generalization, the process of diffusion, which enters as the result of spatial concentration gradients, plays a role similar to other processes such as chemical reactions and membrane transport. The second summation theorem is completely novel. It states that the control by the membrane transport, the diffusion control coefficient multiplied by two, and a newly introduced control coefficient associated with changes in the spatial size of a system (e.g., cell), all add up to one and zero for the control over flux and concentration. Using a simple example of a kinase/phosphatase system in a spherical cell, we speculate that unless active mechanisms of intracellular transport are involved, the threshold cell size is limited by the diffusion control, when it is beginning to exceed the spatial control coefficient significantly.

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Year:  2003        PMID: 14615206     DOI: 10.1016/s0022-5193(03)00289-3

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  Evolution of dominance in metabolic pathways.

Authors:  Homayoun C Bagheri; Günter P Wagner
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

2.  Approaches to biosimulation of cellular processes.

Authors:  F J Bruggeman; H V Westerhoff
Journal:  J Biol Phys       Date:  2006-11-11       Impact factor: 1.365

3.  Theoretical and experimental analysis links isoform-specific ERK signalling to cell fate decisions.

Authors:  Marcel Schilling; Thomas Maiwald; Stefan Hengl; Dominic Winter; Clemens Kreutz; Walter Kolch; Wolf D Lehmann; Jens Timmer; Ursula Klingmüller
Journal:  Mol Syst Biol       Date:  2009-12-22       Impact factor: 11.429

Review 4.  Spatially distributed cell signalling.

Authors:  Boris N Kholodenko
Journal:  FEBS Lett       Date:  2009-12-17       Impact factor: 4.124

Review 5.  Mathematical modeling of intracellular signaling pathways.

Authors:  Edda Klipp; Wolfram Liebermeister
Journal:  BMC Neurosci       Date:  2006-10-30       Impact factor: 3.288

6.  Spatial-Temporal Dynamics of High-Resolution Animal Networks: What Can We Learn from Domestic Animals?

Authors:  Shi Chen; Amiyaal Ilany; Brad J White; Michael W Sanderson; Cristina Lanzas
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

7.  Positional information generated by spatially distributed signaling cascades.

Authors:  Javier Muñoz-García; Zoltan Neufeld; Boris N Kholodenko
Journal:  PLoS Comput Biol       Date:  2009-03-20       Impact factor: 4.475

8.  Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction.

Authors:  Wolfgang Giese; Gregor Milicic; Andreas Schröder; Edda Klipp
Journal:  PLoS Comput Biol       Date:  2018-04-09       Impact factor: 4.475

  8 in total

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