Simulating flow induced migration in vascular remodelling.

Shear stress induces directed endothelial cell (EC) migration in blood vessels leading to vessel diameter increase and induction of vascular maturation. Other factors, such as EC elongation and interaction between ECs and non-vascular areas are also important. Computational models have previously be...

Full description

Bibliographic Details
Main Authors: Ashkan Tabibian, Siavash Ghaffari, Diego A Vargas, Hans Van Oosterwyck, Elizabeth A V Jones
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-08-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007874
id doaj-fd7af7af3a074b97b69e55c5739cacec
record_format Article
spelling doaj-fd7af7af3a074b97b69e55c5739cacec2021-04-21T15:17:46ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582020-08-01168e100787410.1371/journal.pcbi.1007874Simulating flow induced migration in vascular remodelling.Ashkan TabibianSiavash GhaffariDiego A VargasHans Van OosterwyckElizabeth A V JonesShear stress induces directed endothelial cell (EC) migration in blood vessels leading to vessel diameter increase and induction of vascular maturation. Other factors, such as EC elongation and interaction between ECs and non-vascular areas are also important. Computational models have previously been used to study collective cell migration. These models can be used to predict EC migration and its effect on vascular remodelling during embryogenesis. We combined live time-lapse imaging of the remodelling vasculature of the quail embryo yolk sac with flow quantification using a combination of micro-Particle Image Velocimetry and computational fluid dynamics. We then used the flow and remodelling data to inform a model of EC migration during remodelling. To obtain the relation between shear stress and velocity in vitro for EC cells, we developed a flow chamber to assess how confluent sheets of ECs migrate in response to shear stress. Using these data as an input, we developed a multiphase, self-propelled particles (SPP) model where individual agents are driven to migrate based on the level of shear stress while maintaining appropriate spatial relationship to nearby agents. These agents elongate, interact with each other, and with avascular agents at each time-step of the model. We compared predicted vascular shape to real vascular shape after 4 hours from our time-lapse movies and performed sensitivity analysis on the various model parameters. Our model shows that shear stress has the largest effect on the remodelling process. Importantly, however, elongation played an especially important part in remodelling. This model provides a powerful tool to study the input of different biological processes on remodelling.https://doi.org/10.1371/journal.pcbi.1007874
collection DOAJ
language English
format Article
sources DOAJ
author Ashkan Tabibian
Siavash Ghaffari
Diego A Vargas
Hans Van Oosterwyck
Elizabeth A V Jones
spellingShingle Ashkan Tabibian
Siavash Ghaffari
Diego A Vargas
Hans Van Oosterwyck
Elizabeth A V Jones
Simulating flow induced migration in vascular remodelling.
PLoS Computational Biology
author_facet Ashkan Tabibian
Siavash Ghaffari
Diego A Vargas
Hans Van Oosterwyck
Elizabeth A V Jones
author_sort Ashkan Tabibian
title Simulating flow induced migration in vascular remodelling.
title_short Simulating flow induced migration in vascular remodelling.
title_full Simulating flow induced migration in vascular remodelling.
title_fullStr Simulating flow induced migration in vascular remodelling.
title_full_unstemmed Simulating flow induced migration in vascular remodelling.
title_sort simulating flow induced migration in vascular remodelling.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2020-08-01
description Shear stress induces directed endothelial cell (EC) migration in blood vessels leading to vessel diameter increase and induction of vascular maturation. Other factors, such as EC elongation and interaction between ECs and non-vascular areas are also important. Computational models have previously been used to study collective cell migration. These models can be used to predict EC migration and its effect on vascular remodelling during embryogenesis. We combined live time-lapse imaging of the remodelling vasculature of the quail embryo yolk sac with flow quantification using a combination of micro-Particle Image Velocimetry and computational fluid dynamics. We then used the flow and remodelling data to inform a model of EC migration during remodelling. To obtain the relation between shear stress and velocity in vitro for EC cells, we developed a flow chamber to assess how confluent sheets of ECs migrate in response to shear stress. Using these data as an input, we developed a multiphase, self-propelled particles (SPP) model where individual agents are driven to migrate based on the level of shear stress while maintaining appropriate spatial relationship to nearby agents. These agents elongate, interact with each other, and with avascular agents at each time-step of the model. We compared predicted vascular shape to real vascular shape after 4 hours from our time-lapse movies and performed sensitivity analysis on the various model parameters. Our model shows that shear stress has the largest effect on the remodelling process. Importantly, however, elongation played an especially important part in remodelling. This model provides a powerful tool to study the input of different biological processes on remodelling.
url https://doi.org/10.1371/journal.pcbi.1007874
work_keys_str_mv AT ashkantabibian simulatingflowinducedmigrationinvascularremodelling
AT siavashghaffari simulatingflowinducedmigrationinvascularremodelling
AT diegoavargas simulatingflowinducedmigrationinvascularremodelling
AT hansvanoosterwyck simulatingflowinducedmigrationinvascularremodelling
AT elizabethavjones simulatingflowinducedmigrationinvascularremodelling
_version_ 1714667596752617472