Abstract
We propose an approach to study static properties of metabolic networks with genetic regulation. We base our results on differential inequalities which are constraints on the values of the partial derivatives of the reaction rate functions. The approach uses an iterative elimination method for the steady state equations involving algebraic modules that satisfy the Gale-Nikaido global univalence property. The same method allows to find conditions for unique steady state. In the case of metabolic pathways, partial elimination of variables can produce several alternative models, allowing to compare steady state changes of metabolites with and without genetic regulation.
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Blavy, P., Gondret, F., Guillou, H., Lagarrigue, S., Martin, P.G.P., van Milgen, J., Radulescu, O., Siegel, A.: A minimal model for hepatic fatty acid balance during fasting: Application to PPAR alpha-deficient mice. Journal of Theoretical Biology 261(2), 266–278 (2009)
Barnouin, S., Lassere, F., Cantiello, M., Guillou, H., Pineau, T., Martin, P.: A kinetic view of coordinate modulations of gene expresion and metabolism in wild-type and PPARα-/- mice during fasting. In: Conference of the Paul Hamel Institute, Monaco (2004)
Cornish-Bowden, A.: Fundamentals of Enzyme Kinetics. Portland Press, London (1995)
Clément, K., Ferré, P.: Genetics and the pathophysiology of obesity. Pediatric Research 53, 721–725 (2003)
Craciun, G., Tang, Y., Feinberg, M.: Understanding bistability in complex enzyme-driven reaction networks. Proceedings of the National Academy of Sciences 103(23), 8697 (2006)
Duplus, E., Forest, C.: Is there a single mechanism for fatty acid regulation of gene transcription? Biochemical Pharmacology 64, 893–901 (2004)
Fell, D.: Understanding the control of metabolism. Portland Press, London (1997)
Jump, D.B.: Fatty acid regulation of gene transcription. Critical Rev. in Clinical Lab. Sci. 41, 41–78 (2004)
Kitayama, T., Kinoshita, A., Sugimoto, M., Nakayama, Y., Tomita, M.: A simplified method for power-law modelling of metabolic pathways from time-course data and steady-state flux profiles. Theoretical Biology and Medical Modelling 3, 24 (2006)
Lee, S., et al.: Requirement of PPARα in maintaining phospolipid and triaglycerol homeostasis during energy deprivation. J. Lipid Res. 4, 2025–2037 (2004)
Lee, J.M., Gianchandani, E.P., Papin, J.A.: Flux balance analysis in the era of metabolomics. Briefings in Bioinformatics 7(2), 140 (2006)
Parthasarathy, T.: On Global Univalence Theorems. Lecture Notes in Mathematics, vol. 977. Springer, Heidelberg (1983)
Pégorier, J.-P., Le May, C.: Régulation de l’expression génique par les acides gras (Control of gene expression by fatty acids). Nutrition clinique et métabolisme 17, 80–88 (2003)
Radulescu, O., Gorban, A.N., Zinovyev, A., Lilienbaum, A.: Robust simplifications of multiscale biochemical networks. BMC Systems Biology 2(1), 86 (2008)
Radulescu, O., Lagarrigue, S., Siegel, A., Veber, P., Le Borgne, M.: Topology and linear response of interaction networks in molecular biology. Journal of The Royal Society Interface 3(6), 185–196 (2006)
Savageau, M.A., Voit, E.O.: Recasting nonlinear differential equations as S-systems: a canonical nonlinear form. Mathematical biosciences 87(1), 83–115 (1987)
Thomas, R.: On the relation between the logical structure of systems and their ability to generate multiple steadt states or sustained oscillations. Springer Ser. Synergetics 9, 180–193 (1981)
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Radulescu, O., Siegel, A., Pécou, E., Chatelain, C., Lagarrigue, S. (2011). Genetically Regulated Metabolic Networks: Gale-Nikaido Modules and Differential Inequalities. In: Priami, C., Back, RJ., Petre, I., de Vink, E. (eds) Transactions on Computational Systems Biology XIII. Lecture Notes in Computer Science(), vol 6575. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19748-2_6
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DOI: https://doi.org/10.1007/978-3-642-19748-2_6
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