On the Analysis of Time-Dependent Biochemical Systems Via the Utilization of Ising Mean Field Parameters

Cell behaviors are governed by non-equilibrium systems of interacting molecules. Often, these systems exhibit qualitative transitions in their parameter space, e.g. from one to two stable states. These transitions are reminiscent of critical transitions in equilibrium systems from many-body physics. A particular class of non-equilibrium biochemical systems with feedback has been shown to exhibit the critical scaling properties of the Ising universality class in the mean-field limit, and this prediction is supported by measurements of doubly phosphorylated ppERK in T cells. We extend upon the analysis by studying time-dependent data of ppERK abundance as the system transitions from two stable states to one. Our analysis reveals that T cells experience critical slowing down in their response to drugs. Our approach is broadly applicable to the investigation of critical dynamics in biological systems.