Literature DB >> 16829695

A cellular automaton model for the migration of glioma cells.

M Aubert1, M Badoual, S Féreol, C Christov, B Grammaticos.   

Abstract

We present a study of in vitro cell migration in two dimensions as a first step towards understanding the mechanisms governing the motility of glioma cells. Our study is based on a cellular automaton model which aims at reproducing the kinetics of a lump of glioma cells deposited on a substrate of collagen. The dynamical effects of cell attraction and motion inertia are introduced through adequate automaton rules. We compare the density profiles given by the model to those obtained experimentally. The result of the best fit indicates a substantial cell-cell attraction due to cell-cell communication through gap junctions (or chemotaxis) and negligible inertia effects during migration. Tracking of individual migrating cells indicates highly convoluted cell trajectories.

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Year:  2006        PMID: 16829695     DOI: 10.1088/1478-3975/3/2/001

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  17 in total

1.  Improving the time-machine: estimating date of birth of grade II gliomas.

Authors:  C Gerin; J Pallud; B Grammaticos; E Mandonnet; C Deroulers; P Varlet; L Capelle; L Taillandier; L Bauchet; H Duffau; M Badoual
Journal:  Cell Prolif       Date:  2011-12-14       Impact factor: 6.831

2.  Models of collective cell behaviour with crowding effects: comparing lattice-based and lattice-free approaches.

Authors:  Michael J Plank; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2012-06-13       Impact factor: 4.118

3.  A model for glioma cell migration on collagen and astrocytes.

Authors:  M Aubert; M Badoual; C Christov; B Grammaticos
Journal:  J R Soc Interface       Date:  2008-01-06       Impact factor: 4.118

4.  A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment.

Authors:  Andrew M Stein; Tim Demuth; David Mobley; Michael Berens; Leonard M Sander
Journal:  Biophys J       Date:  2006-10-13       Impact factor: 4.033

5.  A High-Performance Cellular Automaton Model of Tumor Growth with Dynamically Growing Domains.

Authors:  Jan Poleszczuk; Heiko Enderling
Journal:  Appl Math (Irvine)       Date:  2014-01

6.  Bex2 is critical for migration and invasion in malignant glioma cells.

Authors:  Xiuping Zhou; Xuebin Xu; Qingming Meng; Jinxia Hu; Tongle Zhi; Qiong Shi; Rutong Yu
Journal:  J Mol Neurosci       Date:  2012-08-03       Impact factor: 3.444

Review 7.  The biology and mathematical modelling of glioma invasion: a review.

Authors:  J C L Alfonso; K Talkenberger; M Seifert; B Klink; A Hawkins-Daarud; K R Swanson; H Hatzikirou; A Deutsch
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

8.  Hybrid mathematical model of glioma progression.

Authors:  M L Tanaka; W Debinski; I K Puri
Journal:  Cell Prolif       Date:  2009-07-17       Impact factor: 6.831

9.  Oedema-based model for diffuse low-grade gliomas: application to clinical cases under radiotherapy.

Authors:  M Badoual; C Gerin; C Deroulers; B Grammaticos; J-F Llitjos; C Oppenheim; P Varlet; J Pallud
Journal:  Cell Prolif       Date:  2014-06-19       Impact factor: 6.831

10.  Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies.

Authors:  Katrina K Treloar; Matthew J Simpson; Parvathi Haridas; Kerry J Manton; David I Leavesley; D L Sean McElwain; Ruth E Baker
Journal:  BMC Syst Biol       Date:  2013-12-12
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