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Stochastic fluctuations in gene expression far from equilibrium: Omega expansion and linear noise approximation
Yi Tao1, Yuting Jia, T Gregory Dewey
1Keck Graduate Institute of Applied Life Sciences, Claremont, California 91711, USA.
The Journal of Chemical Physics
|April 20, 2005
Summary
Investigating intrinsic noise in gene expression using Omega expansion reveals feedback
Area of Science:
- Biophysics
- Systems Biology
- Computational Biology
Background:
- Gene expression systems exhibit intrinsic noise.
- Feedback regulation is crucial in biological systems.
- Understanding noise in nonequilibrium systems is challenging.
Purpose of the Study:
- To investigate intrinsic noise in autoregulatory gene expression.
- To analyze the effect of feedback on noise in systems far from equilibrium.
- To compare noise behavior near and far from equilibrium.
Main Methods:
- Utilized the Omega expansion of the master equation for mesoscale description.
- Employed linear noise approximation for analytic results.
- Performed simulations for nonlinear autoregulatory systems.
Main Results:
- Analytic results obtained for linear feedback systems far from equilibrium.
- Analytic expressions derived for nonlinear systems near equilibrium.
- Simulations show feedback strength does not always reduce noise during approach to equilibrium, contrasting equilibrium results.
Conclusions:
- Linearized system behavior near equilibrium is not applicable to far-from-equilibrium systems.
- Mesoscopic systems require exploration of nonequilibrium domains.
- Feedback's effect on intrinsic noise is complex and state-dependent.
