Self-regulating genes. Exact steady state solution by using Poisson representation

Systems biology studies the structure and behavior of complex gene regulatory networks. One of its aims is to develop a quantitative understanding of the modular components that constitute such networks. The self-regulating gene is a type of auto regulatory genetic modules which appears in over 40% of known transcription factors in E. coli. In this work, using the technique of Poisson Representation, we are able to provide exact steady state solutions for this feedback model. By using the methods of synthetic biology (P.E.M. Purnick and Weiss, R., Nature Reviews, Molecular Cell Biology, 2009, 10: 410–422) one can build the system itself from modules like this.

[1]  J. W.,et al.  The Journal of Physical Chemistry , 1900, Nature.

[2]  William H. Press,et al.  Numerical recipes , 1990 .

[3]  Journal of Chemical Physics , 1932, Nature.

[4]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[5]  J. Hornos,et al.  Symmetry and stochastic gene regulation. , 2007, Physical Review Letters.

[6]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[7]  J. Hornos,et al.  Exact time-dependent solutions for a self-regulating gene. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  J. Onuchic,et al.  Self-regulating gene: an exact solution. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  E. Kandel,et al.  Proceedings of the National Academy of Sciences of the United States of America. Annual subject and author indexes. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[10]  J. Hornos,et al.  Symmetry in biology: from genetic code to stochastic gene regulation. , 2010, IET systems biology.

[11]  J. Hornos,et al.  Modeling stochastic gene expression under repression , 2005, Journal of mathematical biology.

[12]  C. Gardiner Stochastic Methods: A Handbook for the Natural and Social Sciences , 2009 .

[13]  Nature Genetics , 1991, Nature.

[14]  October I Physical Review Letters , 2022 .

[15]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[16]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .