Summary
The chemical master equation in combination with chemical rate equations is used as a tool to study Markovian models of genetic regulatory networks in prokaryotes. States of the master equation represent the binding and unbinding of protein complexes to DNA, resulting in a gene being expressed or not expressed in a cell, while protein and substrate concentrations are represented by continuum variables which evolve via differential equations.
The model is applied to a moderately complex biological system, the switching mechanism of the Bacteriophage driven by competition between production of CI and Cro proteins. Numerical simulations of the model successfully move between lysogenic and lytic states as the host bacterium is stressed by the application of ultraviolet light.
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References
Ptashne, M.: A Genetic Switch: Phage λ and Higher Organisms (second edition). Cell Press, Cambridge, Massachusetts (1992).
de Jong, H.: Modeling and simulation of genetic regulatory systems: a literature review. J. Comp. Biol., 9, 67–103 (2002).
Booth, H.S., Burden, C.J., Hegland, M., Santoso, L.: Markov process modelling of gene regulation. Austr. Math. Soc. Gazette, 32, 31–41 (2005).
Hasty, J., McMillen, D., Isaacs, F., Collins, J.J.: Computational studies of gene regulatory networks: in numero molecular biology. Nature, 2, 268–278 (2001).
Arkin, A., Ross, J., McAdams H.H.: Stochastic kinetic analysis of developmental pathway bifurcation in phage λ-Infected Escherichia coliCells. Genetics, 149, 1633–1648 (1998).
Kepler, T.B., Elston T.C.: Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations. Biophys. J., 81, 3116–3136 (2001).
Aurell, E., Brown, S., Johanson, J., Sneppen, K.: Stability puzzles in phage λ. Phys.Rev. E., 65, 051914 (2002).
Judd E.M., Laub, M.T., McAdams H.H.: Toggles and oscillators: new genetic circuit designs. BioEssays, 22, 507–509 (2000).
Elowitz M.B., Lelbler S.: A synthetic ocsillatory network of transcriptional regulators. Nature, 403, 335–338 (2000).
Tian, T., Burrage, K.: Bistability and switching in the lysis/lysogeny genetic regulatory network of bacteriophage λ. J.Theor.Biol., 227, 229–237 (2004).
van Kampen, N.G.: Stochastic Processes in Physics and Chemistry. North-Holland, New York, USA (1981).
McAdams, H.H., Arkin, A.: Stochastic mechanisms in gene expression. Proc. Natl. Acad. Sci. USA, 94, 814–819 (1997).
Reinitz, J., Vaisnys, J.R.: Theoretical and experimental analysis of the phage lambda genetic switch missing levels of co-operativity. J. Theor. Biol., 145, 295–318 (1990).
Hasty, J., Isaacs, F., Dolnik, M., McMillen, D., Collins, J.J.: Designer gene networks: Towards fundamental cellular control. Chaos, 11, 207–220 (2001).
Gillespie, D.T.: A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. J. Comput. Phys., 22403–434 (1976).
Burz, D.S., Beckett, D., Benson, N., Ackers, G.K.: Self assembly of bacteriophage λ CI repressor: Effects of single site mutations on monomer-dimer equilibrium. Biochemistry, 33, 8399–8405 (1994).
Darling, P.J., Holt, J.M., Ackers, G.K.: Coupled energetics of λ cro repressor self-assembly and site-specific DNA operator binding I: Analysis of cro dimerisation from nanomolar to micromolar concentations. Biochemistry, 33, 11500–11507 (2000).
Ackers, G.K., Johnson, A.D., Shea, M.A.: Quantitative model for gene regulation by λ phage repressor. Proc. Nat. Acad. Sci., 79, 1129–1133 (1982).
Darling, P.J., Holt, J.M., Ackers, G.K.: Coupled energetics of λ cro repressor self-assembly and site-specific DNA operator binding II: Cooperative interactions of cro dimers. J. Mol. Biol., 139, 163–194 (2000).
Berg, O.G., Winter, R.B., von hippel, P.H.: How do genome-regulatory proteins locate their DNA target sites? Trends Biochem., 7, 52–55 (1982).
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Booth, H.S., Burden, C.J., Hegland, M., Santoso, L. (2007). A Stochastic Model of Gene Regulation Using the Chemical Master Equation. In: Deutsch, A., Brusch, L., Byrne, H., Vries, G.d., Herzel, H. (eds) Mathematical Modeling of Biological Systems, Volume I. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4558-8_7
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DOI: https://doi.org/10.1007/978-0-8176-4558-8_7
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