Literature DB >> 20959932

Use of the parameterised finite element method to robustly and efficiently evolve the edge of a moving cell.

Matthew P Neilson1, John A Mackenzie, Steven D Webb, Robert H Insall.   

Abstract

In this paper we present a computational tool that enables the simulation of mathematical models of cell migration and chemotaxis on an evolving cell membrane. Recent models require the numerical solution of systems of reaction-diffusion equations on the evolving cell membrane and then the solution state is used to drive the evolution of the cell edge. Previous work involved moving the cell edge using a level set method (LSM). However, the LSM is computationally very expensive, which severely limits the practical usefulness of the algorithm. To address this issue, we have employed the parameterised finite element method (PFEM) as an alternative method for evolving a cell boundary. We show that the PFEM is far more efficient and robust than the LSM. We therefore suggest that the PFEM potentially has an essential role to play in computational modelling efforts towards the understanding of many of the complex issues related to chemotaxis.

Mesh:

Year:  2010        PMID: 20959932     DOI: 10.1039/c0ib00047g

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  8 in total

1.  Modelling cell motility and chemotaxis with evolving surface finite elements.

Authors:  Charles M Elliott; Björn Stinner; Chandrasekhar Venkataraman
Journal:  J R Soc Interface       Date:  2012-06-06       Impact factor: 4.118

2.  Parameter identification problems in the modelling of cell motility.

Authors:  Wayne Croft; Charles M Elliott; Graham Ladds; Björn Stinner; Chandrasekhar Venkataraman; Cathryn Weston
Journal:  J Math Biol       Date:  2014-09-02       Impact factor: 2.259

3.  Fam49/CYRI interacts with Rac1 and locally suppresses protrusions.

Authors:  Loic Fort; José Miguel Batista; Peter A Thomason; Heather J Spence; Jamie A Whitelaw; Luke Tweedy; Jennifer Greaves; Kirsty J Martin; Kurt I Anderson; Peter Brown; Sergio Lilla; Matthew P Neilson; Petra Tafelmeyer; Sara Zanivan; Shehab Ismail; David M Bryant; Nicholas C O Tomkinson; Luke H Chamberlain; Grant S Mastick; Robert H Insall; Laura M Machesky
Journal:  Nat Cell Biol       Date:  2018-09-24       Impact factor: 28.824

Review 4.  Actin-Based Cell Protrusion in a 3D Matrix.

Authors:  Patrick T Caswell; Tobias Zech
Journal:  Trends Cell Biol       Date:  2018-06-30       Impact factor: 20.808

5.  Computational framework for single-cell spatiotemporal dynamics of optogenetic membrane recruitment.

Authors:  Ivan A Kuznetsov; Erin E Berlew; Spencer T Glantz; Pimkhuan Hannanta-Anan; Brian Y Chow
Journal:  Cell Rep Methods       Date:  2022-07-06

6.  A computational method for the coupled solution of reaction-diffusion equations on evolving domains and manifolds: Application to a model of cell migration and chemotaxis.

Authors:  G MacDonald; J A Mackenzie; M Nolan; R H Insall
Journal:  J Comput Phys       Date:  2016-03-15       Impact factor: 3.553

7.  An Adaptive Moving Mesh Method for Forced Curve Shortening Flow.

Authors:  J A Mackenzie; M Nolan; C F Rowlatt; R H Insall
Journal:  SIAM J Sci Comput       Date:  2019       Impact factor: 2.373

8.  Selection of established tumour cells through narrow diameter micropores enriches for elevated Ras/Raf/MEK/ERK MAPK signalling and enhanced tumour growth.

Authors:  Dominika A Rudzka; Susan Mason; Matthew Neilson; Lynn McGarry; Gabriela Kalna; Ann Hedley; Karen Blyth; Michael F Olson
Journal:  Small GTPases       Date:  2020-06-22
  8 in total

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