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

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.

[1]  H. Kacser,et al.  The control of flux. , 1995, Biochemical Society transactions.

[2]  A. Katchalsky,et al.  Nonequilibrium Thermodynamics in Biophysics , 1965 .

[3]  H. Kacser,et al.  A universal method for achieving increases in metabolite production. , 1993, European journal of biochemistry.

[4]  A. Zhabotinsky,et al.  Autowave processes in a distributed chemical system. , 1973, Journal of theoretical biology.

[5]  D B Kell,et al.  On the functional proton current pathway of electron transport phosphorylation. An electrodic view. , 1979, Biochimica et biophysica acta.

[6]  B N Kholodenko,et al.  Diffusion control of protein phosphorylation in signal transduction pathways. , 2000, The Biochemical journal.

[7]  D. Fell Theoretical analyses of the functioning of the high- and low-Km cyclic nucleotide phosphodiesterases in the regulation of the concentration of adenosine 3',5'-cyclic monophosphate in animal cells. , 1980, Journal of theoretical biology.

[8]  B N Kholodenko,et al.  Spatial gradients of cellular phospho‐proteins , 1999, FEBS letters.

[9]  H V Westerhoff,et al.  The use of lac-type promoters in control analysis. , 1993, European journal of biochemistry.

[10]  Peter Ruhdal Jensen,et al.  DNA supercoiling in Escherichia coli is under tight and subtle homeostatic control, involving gene-expression and metabolic regulation of both topoisomerase I and DNA gyrase. , 2002, European journal of biochemistry.

[11]  Reinhart Heinrich,et al.  Mathematical analysis of multienzyme systems. II. Steady state and transient control. , 1975, Bio Systems.

[12]  R. Heinrich,et al.  Metabolic control analysis of relaxation processes , 1991 .

[13]  H. Sauro,et al.  Control analysis of time-dependent metabolic systems. , 1989, Journal of theoretical biology.

[14]  Boris N. Kholodenko,et al.  Control Analysis of Periodic Phenomena in Biological Systems , 1997 .

[15]  B. Kholodenko,et al.  Metabolic channelling and control of the flux , 1993, FEBS letters.

[16]  H. Westerhoff,et al.  Control of glycolytic dynamics by hexose transport in Saccharomyces cerevisiae. , 2001, Biophysical journal.

[17]  D. Hartl,et al.  Metabolic flux and fitness. , 1987, Genetics.

[18]  Boris N Kholodenko,et al.  MAP kinase cascade signaling and endocytic trafficking: a marriage of convenience? , 2002, Trends in cell biology.

[19]  Reinhart Heinrich,et al.  Linear theory of enzymatic chains; its application for the analysis of the crossover theorem and of the glycolysis of human erythrocytes. , 1973, Acta biologica et medica Germanica.

[20]  Mark A. Peletier,et al.  Why the phosphotransferase system of Escherichia coli escapes the diffusion limitation of signal transduction, transport and metabolism that confronts mammalian cells , 2002 .

[21]  D. Fell Understanding the Control of Metabolism , 1996 .

[22]  B. Kholodenko,et al.  The macroworld versus the microworld of biochemical regulation and control. , 1995, Trends in biochemical sciences.

[23]  J. Blom,et al.  Why the phosphotransferase system of Escherichia coli escapes diffusion limitation. , 2003, Biophysical journal.

[24]  H V Westerhoff,et al.  Enzyme organization and the direction of metabolic flow: physicochemical considerations. , 1992, Current topics in cellular regulation.

[25]  D A Lauffenburger,et al.  Physical modulation of intracellular signaling processes by locational regulation. , 1997, Biophysical journal.

[26]  S. Müller,et al.  Spatio-temporal dynamics in glycolysis. , 2002, Faraday discussions.

[27]  H V Westerhoff,et al.  Why cytoplasmic signalling proteins should be recruited to cell membranes. , 2000, Trends in cell biology.

[28]  H. Westerhoff,et al.  Thermodynamics and Control of Biological Free-Energy Transduction , 1987 .

[29]  B. Kholodenko,et al.  Control theory of one enzyme. , 1994, Biochimica et biophysica acta.

[30]  Engineering a living cell to desired metabolite concentrations and fluxes: pathways with multifunctional enzymes. , 2000, Metabolic engineering.