A Markov chain Monte Carlo model of mechanical-feedback-driven progressive apical constrictions captures the fluctuating collective cell dynamics in the Drosophila embryo

Communication via mechanical stress feedback is believed to play an important role in the intercellular coordination of collective cellular movements. One such movement ventral furrow formation (VFF) Drosophila melanogaster embryo. We previously introduced active granular fluid (AGF) model, which demonstrated that constriction chains observed during initial phase VFF are likely result by tensile-stress feedback. Further observation individual dynamics motivated us introduce progressive constrictions and Markov chain Monte Carlo based fluctuation particle radii our AGF model. use a novel stress-based Voronoi tessellation method translate anisotropic network highly polydisperse, axisymmetric force centers into confluent layer. This allows apply similar means analysis both live simulated embryos. find enhanced combines tensile fluctuations, successfully captures cell dynamics.