The stochastic behavior of a molecular switching circuit with feedback
CBN (Computational Biology and Neurocomputing) seminars
Friday 03 September 2010
to 11:00 at
Supriya Krishnamurthy (Stockholm University)
Background: Using a statistical physics approach, we study the stochastic switching behavior of a model circuit of multisite phosphorylation and dephosphorylation with feedback. The circuit consists of a kinase and phosphatase acting on multiple sites of a substrate that, contingent on its modification state, catalyzes its own phosphorylation and, in a symmetric scenario, dephosphorylation. The symmetric case is viewed as a cartoon of conflicting feedback that could result from antagonistic pathways impinging on the state of a shared component.
Results: We find that multisite phosphorylation is sufficient for bistable behavior under feedback even when catalysis is linear in substrate concentration. We compute the phase diagram, fluctuation spectrum and large-deviation properties related to switch memory within a statistical mechanics framework. Bistability occurs as either a first-order or second-order non-equilibrium phase transition, depending on the network symmetries and the ratio of phosphatase to kinase numbers. In the second-order case, the circuit never leaves the bistable regime upon increasing the number of substrate molecules at constant kinase to phosphatase ratio.
Conclusions: The number of substrate molecules is a key parameter controlling both the onset of the bistable regime, fluctuation intensity,and the residence time in a switched state. The relevance of the concept of memory depends on the degree of switch symmetry, as memory presupposes information to be remembered, which is highest for equal residence times in the switched states.