A numerical approach to studying cell dynamics

The focus of this thesis is to propose and implement a highly efficient numerical method to study cell dynamics. Three key phases are covered: mathematical modelling, linear stability analytical theory and numerical simulations using the moving grid finite element method. This aim is to study cell d...

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Main Author: George, Uduak Zenas
Published: University of Sussex 2012
Subjects:
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554729
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5547292019-03-05T15:23:09ZA numerical approach to studying cell dynamicsGeorge, Uduak Zenas2012The focus of this thesis is to propose and implement a highly efficient numerical method to study cell dynamics. Three key phases are covered: mathematical modelling, linear stability analytical theory and numerical simulations using the moving grid finite element method. This aim is to study cell deformation and cell movement by considering both the mechanical and biochemical properties of the cortical network of actin filaments and its concentration. These deformations are assumed to be a result of the cortical actin dynamics through its interaction with a protein known as myosin II in the cell cytoskeleton. The mathematical model that we consider is a continuum model that couples the mechanics of the network of actin filaments with its bio-chemical dynamics. Numerical treatment of the model is carried out using the moving grid finite element method. By assuming slow deformations of the cell boundary, we verify the numerical simulation results using linear stability theory close to bifurcation points. Far from bifurcation points, we show that the model is able to describe the deformation of cells as a function of the contractile tonicity of the complex formed by the association of actin filaments with the myosin II motor proteins. Our results show complex cell deformations and cell movements such as cell expansion, contraction, translation and protrusions in accordance with experimental observations. The migratory behaviour of cells plays a crucial role in many biological events such as immune response, wound healing, development of tissues, embryogenesis, inflammation and the formation of tumours.571.6QH0438.4.M33 MathematicsUniversity of Sussexhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554729http://sro.sussex.ac.uk/id/eprint/7620/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 571.6
QH0438.4.M33 Mathematics
spellingShingle 571.6
QH0438.4.M33 Mathematics
George, Uduak Zenas
A numerical approach to studying cell dynamics
description The focus of this thesis is to propose and implement a highly efficient numerical method to study cell dynamics. Three key phases are covered: mathematical modelling, linear stability analytical theory and numerical simulations using the moving grid finite element method. This aim is to study cell deformation and cell movement by considering both the mechanical and biochemical properties of the cortical network of actin filaments and its concentration. These deformations are assumed to be a result of the cortical actin dynamics through its interaction with a protein known as myosin II in the cell cytoskeleton. The mathematical model that we consider is a continuum model that couples the mechanics of the network of actin filaments with its bio-chemical dynamics. Numerical treatment of the model is carried out using the moving grid finite element method. By assuming slow deformations of the cell boundary, we verify the numerical simulation results using linear stability theory close to bifurcation points. Far from bifurcation points, we show that the model is able to describe the deformation of cells as a function of the contractile tonicity of the complex formed by the association of actin filaments with the myosin II motor proteins. Our results show complex cell deformations and cell movements such as cell expansion, contraction, translation and protrusions in accordance with experimental observations. The migratory behaviour of cells plays a crucial role in many biological events such as immune response, wound healing, development of tissues, embryogenesis, inflammation and the formation of tumours.
author George, Uduak Zenas
author_facet George, Uduak Zenas
author_sort George, Uduak Zenas
title A numerical approach to studying cell dynamics
title_short A numerical approach to studying cell dynamics
title_full A numerical approach to studying cell dynamics
title_fullStr A numerical approach to studying cell dynamics
title_full_unstemmed A numerical approach to studying cell dynamics
title_sort numerical approach to studying cell dynamics
publisher University of Sussex
publishDate 2012
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554729
work_keys_str_mv AT georgeuduakzenas anumericalapproachtostudyingcelldynamics
AT georgeuduakzenas numericalapproachtostudyingcelldynamics
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