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Gillespie Simulation of Rare Events in a Genetic Regulatory Network

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Abstract

We perform a Gillespie simulation for a simple auto-catalytic gene regulatory network with a positive feedback loop. The chemical master equation for the same model has been solved directly, and after a transient period, proteins were shown to go extinct due to a rare event. We find these features are reproduced with the Gillespie simulation, and the time-dependent frequency of protein numbers shows excellent agreement with the time-dependent probability obtained by solving the master equation directly. The reproduction of the probability for a rare event with the Gillespie simulation reconfirms the feasibility of using the method for modelling the stochastic dynamics of more complex gene regulatory networks, where the direct solution of the master equation is no longer feasible due to computational costs.

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References

  1. H. de Jong, J. Comput. Biol. 9, 67 (2000).

    Article  Google Scholar 

  2. A. D. Keller, J. Theor. Biol. 170, 175 (1994).

    Article  Google Scholar 

  3. E. Plahte, T. Mestl and S. W. Omholt, J. Biol. Syst. 3, 409 (1995).

    Article  Google Scholar 

  4. E. H. Snoussi, J. Biol. Syst. 6, 3 (1998).

    Article  Google Scholar 

  5. J.-L. Gouzé, J. Biol. Syst. 6, 11 (1998).

    Article  Google Scholar 

  6. O. Cinquin and J. Demongeot, J. Theor. Biol. 216, 229 (2002).

    Article  Google Scholar 

  7. J. Hasty, J. Pradines, M. Dolnik and J. J. Collins, Proc. Natl. Acad. Sci. 97, 2075 (2000).

    Article  ADS  Google Scholar 

  8. P. Smolen, D. A. Baxter and J. H. Byrne, Bull. Math. Biol. 62, 247 (2000).

    Article  Google Scholar 

  9. D. Angeli, J. E. Ferrell and E. D. Sontag, Proc. Natl. Acad. Sci. 101, 1822 (2004).

    Article  ADS  Google Scholar 

  10. N. Radde, Bioinformatics 26, 2874 (2010).

    Article  Google Scholar 

  11. J. Lee, AIP Advances 6, 055013 (2016).

    Article  ADS  Google Scholar 

  12. T. B. Kepler and T. C. Elston, Biophys. J. 81, 3116 (2001).

    Article  ADS  Google Scholar 

  13. A. M. Walczak, J. N. Onuchic and P. G. Wolynes, Proc. Natl. Acad. Sci. 102, 18926 (2005).

    Article  ADS  Google Scholar 

  14. N. Friedman, L. Cai and X. S. Xie, Phys. Rev. Lett. 97, 168302 (2006).

    Article  ADS  Google Scholar 

  15. A. Loinger, A. Lipshtat, N. Q. Balaban and O. Biham, Phys. Rev. E 75, 021904 (2007).

    Article  ADS  Google Scholar 

  16. A. Ochab-Marcinek and M. Tabaka, Proc. Natl. Acad. Sci. 107, 22096 (2010).

    Article  ADS  Google Scholar 

  17. D. T. Gillespie, J. Phys. Chem. 81, 2340 (1977).

    Article  Google Scholar 

  18. Y. Cao and J. Liang, BMC Syst. Biol. 2, 30 (2008).

    Article  Google Scholar 

  19. Y. Cao, H.-M. Lu and J. Liang, Proc. Natl. Acad. Sci. 107, 18445 (2010).

    Article  ADS  Google Scholar 

  20. Y. Cao, A. Terebus and J. Liang, Bull. Math. Biol. 78, 617 (2016).

    Article  MathSciNet  Google Scholar 

  21. Y. Cao, A. Terebus and J. Liang, Multiscale Model. Simul. 14, 923 (2016).

    Article  MathSciNet  Google Scholar 

  22. J. Lee and J. Lee, Phys. Rev. E 98, 062404 (2018).

    Article  ADS  Google Scholar 

  23. D. L. Isaacson and R. W. Madsen, Markov Chains, Theory and Applications (Wiley, New York, 1976).

    MATH  Google Scholar 

  24. G. S. Fisherman, A First Course in Monte Carlo (Duxbury Press, Pacific Grove, USA, 2005).

    Google Scholar 

Download references

Acknowledgments

This work was supported by the National Research Foundation of Korea, funded by the Ministry of Education (NRF-2017R1D1A1B03031344).

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Correspondence to Julian Lee.

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Kim, Y.J., Lee, J.J. & Lee, J. Gillespie Simulation of Rare Events in a Genetic Regulatory Network. J. Korean Phys. Soc. 74, 907–911 (2019). https://doi.org/10.3938/jkps.74.907

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  • DOI: https://doi.org/10.3938/jkps.74.907

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