Incorporating pushing in exclusion process models of cell migration

The macroscale movement behavior of a wide range of isolated migrating cells has been well characterized experimentally. Recently, attention has turned to understanding the behavior of cells in crowded environments. In such scenarios it is possible for cells to interact, inducing neighboring cells to move in order to make room for their own movements or progeny. Although the behavior of interacting cells has been modeled extensively through volume-exclusion processes, few models, thus far, have explicitly accounted for the ability of cells to actively displace each other in order to create space for themselves. In this work we consider both on- and off-lattice volume-exclusion position-jump processes in which cells are explicitly allowed to induce movements in their near neighbors in order to create space for themselves to move or proliferate into. We refer to this behavior as pushing. From these simple individual-level representations we derive continuum partial differential equations for the average occupancy of the domain. We find that, for limited amounts of pushing, comparison between the averaged individual-level simulations and the population-level model is nearly as good as in the scenario without pushing. Interestingly, we find that, in the on-lattice case, the diffusion coefficient of the population-level model is increased by pushing, whereas, for the particular off-lattice model that we investigate, the diffusion coefficient is reduced. We conclude, therefore, that it is important to consider carefully the appropriate individual-level model to use when representing complex cell-cell interactions such as pushing.

[1]  Chi-Bin Chien,et al.  Crowding induces live cell extrusion to maintain homeostatic cell numbers in epithelia , 2012, Nature.

[2]  L. Segel,et al.  Model for chemotaxis. , 1971, Journal of theoretical biology.

[3]  Matthew J. Simpson,et al.  Multi-species simple exclusion processes , 2009 .

[4]  Katsuhiro Nishinari,et al.  Physics of Transport and Traffic Phenomena in Biology: from molecular motors and cells to organisms , 2005 .

[5]  Deborah C Markham,et al.  Incorporating spatial correlations into multispecies mean-field models. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Ruth E Baker,et al.  The importance of volume exclusion in modelling cellular migration , 2015, Journal of mathematical biology.

[7]  B. Su,et al.  A role for the mitogen-activated protein kinase kinase kinase 1 in epithelial wound healing. , 2006, Molecular biology of the cell.

[8]  Deborah C Markham,et al.  Simplified method for including spatial correlations in mean-field approximations. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  M. Emmert-Buck,et al.  Measuring collective cell movement and extracellular matrix interactions using magnetic resonance imaging , 2013, Scientific Reports.

[10]  D. Lauffenburger,et al.  Cell Migration: A Physically Integrated Molecular Process , 1996, Cell.

[11]  J. Kirkwood Statistical Mechanics of Fluid Mixtures , 1935 .

[12]  Muruhan Rathinam,et al.  Stiffness in stochastic chemically reacting systems: The implicit tau-leaping method , 2003 .

[13]  Ruth E. Baker,et al.  From Microscopic to Macroscopic Descriptions of Cell Migration on Growing Domains , 2010, Bulletin of mathematical biology.

[14]  J. Edwards,et al.  Do self‐perpetuating B lymphocytes drive human autoimmune disease? , 1999, Immunology.

[15]  Maria Bruna,et al.  Diffusion of Finite-Size Particles in Confined Geometries , 2012, Bulletin of mathematical biology.

[16]  Radek Erban,et al.  Going from microscopic to macroscopic on nonuniform growing domains. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Philip K Maini,et al.  From a discrete to a continuum model of cell dynamics in one dimension. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Radek Erban,et al.  Mathematical Modelling of Turning Delays in Swarm Robotics , 2014, ArXiv.

[19]  James D. Murray Mathematical Biology: I. An Introduction , 2007 .

[20]  Matthew J. Simpson,et al.  Cell invasion with proliferation mechanisms motivated bytime-lapse data , 2010 .

[21]  B. Hughes,et al.  Pathlines in exclusion processes. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Matthew J Simpson,et al.  Lattice-Free Models of Cell Invasion: Discrete Simulations and Travelling Waves , 2013, Bulletin of mathematical biology.

[23]  Ulf Dieckmann,et al.  A multiscale maximum entropy moment closure for locally regulated space–time point process models of population dynamics , 2011, Journal of mathematical biology.

[24]  J. Madri,et al.  Cell Migration in the Immune System: the Evolving Inter-Related Roles of Adhesion Molecules and Proteinases , 2000, Developmental immunology.

[25]  Maria Bruna,et al.  Excluded-volume effects in the diffusion of hard spheres. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  L. Segel,et al.  Initiation of slime mold aggregation viewed as an instability. , 1970, Journal of theoretical biology.

[27]  Linda R. Petzold,et al.  Accuracy limitations and the measurement of errors in the stochastic simulation of chemically reacting systems , 2006, J. Comput. Phys..

[28]  J. Kirkwood,et al.  The Radial Distribution Function in Liquids , 1942 .

[29]  Andrew J Ewald,et al.  Collective epithelial migration and cell rearrangements drive mammary branching morphogenesis. , 2008, Developmental cell.

[30]  P. Friedl,et al.  Interstitial cell migration: integrin-dependent and alternative adhesion mechanisms , 2009, Cell and Tissue Research.

[31]  E. Raines,et al.  The extracellular matrix can regulate vascular cell migration, proliferation, and survival: relationships to vascular disease , 2000, International journal of experimental pathology.

[32]  Rob J. De Boer,et al.  Chemotactic Migration of T Cells towards Dendritic Cells Promotes the Detection of Rare Antigens , 2012, PLoS Comput. Biol..

[33]  G. Borisy,et al.  Cell Migration: Integrating Signals from Front to Back , 2003, Science.

[34]  Matthew J Simpson,et al.  Models of collective cell behaviour with crowding effects: comparing lattice-based and lattice-free approaches , 2012, Journal of The Royal Society Interface.

[35]  Ruth E Baker,et al.  Macroscopic limits of individual-based models for motile cell populations with volume exclusion. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  Ulf Dieckmann,et al.  Relaxation Projections and the Method of Moments , 1999 .

[37]  Matthew J Simpson,et al.  Simulating invasion with cellular automata: connecting cell-scale and population-scale properties. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  Ray Keller,et al.  Cell migration during gastrulation. , 2005, Current opinion in cell biology.

[39]  C. Patlak Random walk with persistence and external bias , 1953 .

[40]  Ioannis G Kevrekidis,et al.  Dynamic density functional theory of solid tumor growth: Preliminary models. , 2012, AIP advances.

[41]  D. Hanahan,et al.  The Hallmarks of Cancer , 2000, Cell.

[42]  Ramon Grima,et al.  A continuum approximation to an off-lattice individual-cell based model of cell migration and adhesion. , 2014, Journal of theoretical biology.

[43]  Jonathan E. Gale,et al.  Live-cell delamination counterbalances epithelial growth to limit tissue overcrowding , 2012, Nature.