Poissonian Cellular Potts Models Reveal Nonequilibrium Kinetics of Cell Sorting
Roman Belousov, Silvio Di Savino, Prachiti Moghe, Takashi Hiiragi, Lamberto Rondoni, Anna Erzberger
Abstract
Cellular Potts models are broadly applied across developmental biology and cancer research. We overcome limitations of the traditional approach, which reinterprets a modified Metropolis sampling as ad hoc dynamics, by introducing a physical timescale through Poissonian kinetics and by applying principles of stochastic thermodynamics to separate thermal and relaxation effects from athermal noise and nonconservative forces. Our method accurately describes cell-sorting dynamics in mouse-embryo development and identifies the distinct contributions of nonequilibrium processes, e.g., cell growth and active fluctuations.
Topics & Concepts
Statistical physicsNon-equilibrium thermodynamicsPotts modelSortingPhysicsCell sortingRelaxation (psychology)Stochastic dynamicsKineticsComputer scienceBiologyThermodynamicsCellClassical mechanicsNeuroscienceIsing modelProgramming languageGeneticsAdvanced Thermodynamics and Statistical Mechanicsstochastic dynamics and bifurcationNanopore and Nanochannel Transport Studies