On the dephasing of genetic oscillations
The digital nature of genes combined with the associated low copy numbers of proteins regulating them is a significant source of stochasticity, which affects the phase of biochemical oscillations. We provide a theoretical framework for understanding the dephasing evolution of genetic oscillations by combining the phenomenological stochastic limit cycle dynamics and the discrete Markov state models that describe the genetic oscillations. Through simulations of the realistic model of the NFκB/IκB network we illustrate the dephasing phenomena which are important for reconciling single cell and population based experiments on this system.
q-bio.MN↗