Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models

For this paper, we are interested in network formation of endothelial cells. Randomly distributed endothelial cells converge together to create a vascular system. To develop a mathematical model, we make assumptions on individual cell movement, leading to a velocity jump model with chemotaxis. We us...

Full description

Bibliographic Details
Main Authors: Ryan Thiessen, Thomas Hillen
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/13/1561
id doaj-c09fcccd4dfd407dbdb78a4a7774a83f
record_format Article
spelling doaj-c09fcccd4dfd407dbdb78a4a7774a83f2021-07-15T15:41:42ZengMDPI AGMathematics2227-73902021-07-0191561156110.3390/math9131561Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis ModelsRyan Thiessen0Thomas Hillen1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G2G1, CanadaDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G2G1, CanadaFor this paper, we are interested in network formation of endothelial cells. Randomly distributed endothelial cells converge together to create a vascular system. To develop a mathematical model, we make assumptions on individual cell movement, leading to a velocity jump model with chemotaxis. We use scaling arguments to derive an anisotropic chemotaxis model on the population level. For this macroscopic model, we develop a new numerical solver and investigate network-type pattern formation. Our model is able to reproduce experiments on network formation by Serini et al. Moreover, to our surprise, we found new spatial criss-cross patterns due to competing cues, one direction given by tissue anisotropy versus a different direction due to chemotaxis. A full analysis of these new patterns is left for future work.https://www.mdpi.com/2227-7390/9/13/1561chemotaxisanisotropykinetic transport equationparabolic scalingpattern formation
collection DOAJ
language English
format Article
sources DOAJ
author Ryan Thiessen
Thomas Hillen
spellingShingle Ryan Thiessen
Thomas Hillen
Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models
Mathematics
chemotaxis
anisotropy
kinetic transport equation
parabolic scaling
pattern formation
author_facet Ryan Thiessen
Thomas Hillen
author_sort Ryan Thiessen
title Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models
title_short Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models
title_full Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models
title_fullStr Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models
title_full_unstemmed Anisotropic Network Patterns in Kinetic and Diffusive Chemotaxis Models
title_sort anisotropic network patterns in kinetic and diffusive chemotaxis models
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-07-01
description For this paper, we are interested in network formation of endothelial cells. Randomly distributed endothelial cells converge together to create a vascular system. To develop a mathematical model, we make assumptions on individual cell movement, leading to a velocity jump model with chemotaxis. We use scaling arguments to derive an anisotropic chemotaxis model on the population level. For this macroscopic model, we develop a new numerical solver and investigate network-type pattern formation. Our model is able to reproduce experiments on network formation by Serini et al. Moreover, to our surprise, we found new spatial criss-cross patterns due to competing cues, one direction given by tissue anisotropy versus a different direction due to chemotaxis. A full analysis of these new patterns is left for future work.
topic chemotaxis
anisotropy
kinetic transport equation
parabolic scaling
pattern formation
url https://www.mdpi.com/2227-7390/9/13/1561
work_keys_str_mv AT ryanthiessen anisotropicnetworkpatternsinkineticanddiffusivechemotaxismodels
AT thomashillen anisotropicnetworkpatternsinkineticanddiffusivechemotaxismodels
_version_ 1721298905638895616