Abstract

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.

Highlights

  • Angiogenesis is the process by which new blood vessels develop from existing blood vessels

  • In Model 2, in addition to Tip cells (TCs)-TC interactions, TCs interact with Endothelial cells (ECs) through tip-to-sprout anastomosis and EC volume exclusion

  • We compared averaged cellular automaton (CA) simulation results with our partial differential equations (PDEs) models and an existing phenomenological model, which is linear in the diffusive, chemotactic and branching terms, in order to determine macroscale volume exclusion effects and whether linear models can account for them

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Summary

Introduction

Angiogenesis is the process by which new blood vessels develop from existing blood vessels. Dyson and Baker (2015) considered two interacting subpopulations in an off-lattice framework and used a mean-field approximation to derive non-linear advective-diffusive equations for each population They explored the importance of volume exclusion in migratory cell models, and found that volume exclusion effects are most important in biased movement, such as chemotactic migration. We compare the modified BC model (see Pillay et al 2017) to averaged simulation results from the CA model to determine whether a snail-trail model that is linear in the diffusive, chemotactic and branching terms can account for macroscale volume exclusion effects.

Cellular automaton
Movement and anastomosis
Branching
Ensemble averages
The continuum model
Structure of continuum models
Mean-field approximation and behavior of PDE models
Model 1
Model 2
BC model
Model 1 Comparisons
Model 2 comparison
Case 1
Discussion and conclusion
A Review of Byrne and Chaplain’s snail-trail model 1995
Choose N TCs independently at random with replacement Loop 1
PDE solvers
Model fitting
D BC χ BC λ BC βn

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