The impact of exclusion processes on angiogenesis models

Angiogenesis is the process by which new blood vessels form from existing vessels. During angiogenesis, tip cells migrate via diffusion and chemotaxis, new tip cells are introduced through branching, loops form via tip-to-tip and tip-to-sprout anastomosis, and a vessel network forms as endothelial cells, known as stalk cells, follow the paths of tip cells (a process known as the snail-trail). Using a mean-field approximation, we systematically derive one-dimensional non-linear continuum models from a lattice-based cellular automaton model of angiogenesis in the corneal assay, explicitly accounting for cell volume. We compare our continuum models and a well-known phenomenological snail-trail model that is linear in the diffusive, chemotactic and branching terms, with averaged cellular automaton simulation results to distinguish macroscale volume exclusion effects and determine whether linear models can capture them. We conclude that, in general, both linear and non-linear models can be used at low cell densities when single or multi-species exclusion effects are negligible at the macroscale. When cell densities increase, our non-linear model should be used to capture non-linear tip cell behavior that occurs when single-species exclusion effects are pronounced, and alternative models should be derived for non-negligible multi-species exclusion effects.

[1]  Holger Gerhardt,et al.  Agent-based simulation of notch-mediated tip cell selection in angiogenic sprout initialisation. , 2008, Journal of theoretical biology.

[2]  M. A. J. Chaplain,et al.  The mathematical modelling of tumour angiogenesis and invasion , 1995, Acta biotheoretica.

[3]  M. Chaplain,et al.  Mathematical Modelling of Tumour-Induced Angiogenesis , 2019 .

[4]  H M Byrne,et al.  Mathematical models for tumour angiogenesis: numerical simulations and nonlinear wave solutions. , 1995, Bulletin of mathematical biology.

[5]  Matthew J Simpson,et al.  Correcting mean-field approximations for birth-death-movement processes. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  P. Maini,et al.  Mesoscopic and continuum modelling of angiogenesis , 2014, Journal of mathematical biology.

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

[8]  J. Folkman,et al.  Angiogenic factors. , 1987, Science.

[9]  J. Folkman,et al.  Migration and proliferation of endothelial cells in preformed and newly formed blood vessels during tumor angiogenesis. , 1977, Microvascular research.

[10]  F. Yuan,et al.  Numerical simulations of angiogenesis in the cornea. , 2001, Microvascular research.

[11]  M. Chaplain Avascular growth, angiogenesis and vascular growth in solid tumours: The mathematical modelling of the stages of tumour development , 1996 .

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

[13]  D. Balding,et al.  A mathematical model of tumour-induced capillary growth. , 1985, Journal of theoretical biology.

[14]  P. Maini,et al.  Modeling angiogenesis: A discrete to continuum description. , 2017, Physical review. E.

[15]  J. Folkman,et al.  Tumor growth and neovascularization: an experimental model using the rabbit cornea. , 1974, Journal of the National Cancer Institute.

[16]  Thomas F. Coleman,et al.  On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds , 1994, Math. Program..

[17]  M. Klagsbrun,et al.  Molecular angiogenesis. , 1999, Chemistry & biology.

[18]  L. Bonilla,et al.  Hybrid modeling of tumor-induced angiogenesis. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Paul A. Bates,et al.  Tipping the Balance: Robustness of Tip Cell Selection, Migration and Fusion in Angiogenesis , 2009, PLoS Comput. Biol..

[20]  Ruth E. Baker,et al.  Modelling collective cell behaviour , 2014 .

[21]  T. Liggett,et al.  Stochastic Interacting Systems: Contact, Voter and Exclusion Processes , 1999 .

[22]  M. Chaplain,et al.  A model mechanism for the chemotactic response of endothelial cells to tumour angiogenesis factor. , 1993, IMA journal of mathematics applied in medicine and biology.

[23]  Lawrence F. Shampine,et al.  The MATLAB ODE Suite , 1997, SIAM J. Sci. Comput..

[24]  T. Coleman,et al.  On the Convergence of Reflective Newton Methods for Large-scale Nonlinear Minimization Subject to Bounds , 1992 .

[25]  Nasim Akhtar,et al.  Angiogenesis assays: a critical overview. , 2003, Clinical chemistry.

[26]  Thomas F. Coleman,et al.  An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds , 1993, SIAM J. Optim..

[27]  Matthew J Simpson,et al.  Corrected mean-field models for spatially dependent advection-diffusion-reaction phenomena. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  William E. Schiesser,et al.  Linear and nonlinear waves , 2009, Scholarpedia.

[29]  H. Othmer,et al.  Mathematical modeling of tumor-induced angiogenesis , 2004, Journal of mathematical biology.

[30]  C. Reinhart-King Mechanical and Chemical Signaling in Angiogenesis , 2013 .

[31]  Kerry A Landman,et al.  Modeling biological tissue growth: discrete to continuum representations. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  L. Bonilla,et al.  Stochastic model of tumor-induced angiogenesis: Ensemble averages and deterministic equations. , 2016, Physical review. E.

[33]  R. Auerbach,et al.  Tumor-induced neovascularization in the mouse eye. , 1982, Journal of the National Cancer Institute.

[34]  M. Chaplain,et al.  Mathematical Modelling of Angiogenesis , 2000, Journal of Neuro-Oncology.

[35]  Thomas Callaghan,et al.  A Stochastic Model for Wound Healing , 2005, q-bio/0507035.

[36]  Junjie Zhang,et al.  The measurement of corneal thickness from center to limbus in vivo in C57BL/6 and BALB/c mice using two-photon imaging. , 2013, Experimental eye research.

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

[38]  R E Baker,et al.  Inference of cell-cell interactions from population density characteristics and cell trajectories on static and growing domains , 2014, bioRxiv.

[39]  Holger Gerhardt,et al.  VEGF and Notch in tip and stalk cell selection. , 2013, Cold Spring Harbor perspectives in medicine.

[40]  Holger Gerhardt,et al.  Basic and Therapeutic Aspects of Angiogenesis , 2011, Cell.

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

[42]  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.

[43]  Panayotis G. Kevrekidis,et al.  A hybrid model for tumor-induced angiogenesis in the cornea in the presence of inhibitors , 2007, Math. Comput. Model..

[44]  P. Carmeliet,et al.  Molecular mechanisms and clinical applications of angiogenesis , 2011, Nature.

[45]  M. Iliev,et al.  In vivo pachymetry in normal eyes of rats, mice and rabbits with the optical low coherence reflectometer , 2003, Vision Research.

[46]  M. Chaplain,et al.  Continuous and discrete mathematical models of tumor-induced angiogenesis , 1998, Bulletin of mathematical biology.

[47]  L. Bonilla,et al.  Stochastic Models of Tumor Induced Angiogenesis , 2016 .

[48]  K. J. Davies,et al.  On the derivation of approximations to cellular automata models and the assumption of independence. , 2014, Mathematical biosciences.

[49]  Joe Pitt-Francis,et al.  An integrated approach to quantitative modelling in angiogenesis research , 2015, Journal of The Royal Society Interface.

[50]  Kerry A Landman,et al.  Building macroscale models from microscale probabilistic models: a general probabilistic approach for nonlinear diffusion and multispecies phenomena. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[51]  H. Gerhardt,et al.  Endothelial cells dynamically compete for the tip cell position during angiogenic sprouting , 2010, Nature Cell Biology.

[52]  Edward A. Codling,et al.  Random walk models in biology , 2008, Journal of The Royal Society Interface.

[53]  Alexander R. A. Anderson,et al.  Mathematical modelling of flow in 2D and 3D vascular networks: Applications to anti-angiogenic and chemotherapeutic drug strategies , 2005, Math. Comput. Model..

[54]  L Preziosi,et al.  A review of mathematical models for the formation of vascular networks. , 2013, Journal of theoretical biology.