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Mechanical feedback controls the emergence of dynamical memory in growing tissue monolayers

Sumit Sinha, Xin Li, Rajsekhar Das, D. Thirumalai

2022The Journal of Chemical Physics18 citationsDOIOpen Access PDF

Abstract

The growth of a tissue, which depends on cell–cell interactions and biologically relevant processes such as cell division and apoptosis, is regulated by a mechanical feedback mechanism. We account for these effects in a minimal two-dimensional model in order to investigate the consequences of mechanical feedback, which is controlled by a critical pressure, pc. A cell can only grow and divide if its pressure, due to interaction with its neighbors, is less than pc. Because temperature is not a relevant variable, the cell dynamics is driven by self-generated active forces (SGAFs) that arise due to cell division. We show that even in the absence of intercellular interactions, cells undergo diffusive behavior. The SGAF-driven diffusion is indistinguishable from the well-known dynamics of a free Brownian particle at a fixed finite temperature. When intercellular interactions are taken into account, we find persistent temporal correlations in the force–force autocorrelation function (FAF) that extends over a timescale of several cell division times. The time-dependence of the FAF reveals memory effects, which increases as pc increases. The observed non-Markovian effects emerge due to the interplay of cell division and mechanical feedback and are inherently a non-equilibrium phenomenon.

Topics & Concepts

Cell divisionDynamics (music)AutocorrelationBrownian dynamicsNegative feedbackPositive feedbackDivision (mathematics)DiffusionBrownian motionPhysicsCellMechanicsBiophysicsChemistryBiologyMathematicsThermodynamicsArithmeticBiochemistryAcousticsEngineeringElectrical engineeringStatisticsVoltageQuantum mechanicsAdvanced Thermodynamics and Statistical MechanicsMicro and Nano Roboticsthermodynamics and calorimetric analyses
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