Literature DB >> 24483499

Lattice-free descriptions of collective motion with crowding and adhesion.

Stuart T Johnston1, Matthew J Simpson1, Michael J Plank2.   

Abstract

Cell-to-cell adhesion is an important aspect of malignant spreading that is often observed in images from the experimental cell biology literature. Since cell-to-cell adhesion plays an important role in controlling the movement of individual malignant cells, it is likely that cell-to-cell adhesion also influences the spatial spreading of populations of such cells. Therefore, it is important for us to develop biologically realistic simulation tools that can mimic the key features of such collective spreading processes to improve our understanding of how cell-to-cell adhesion influences the spreading of cell populations. Previous models of collective cell spreading with adhesion have used lattice-based random walk frameworks which may lead to unrealistic results, since the agents in the random walk simulations always move across an artificial underlying lattice structure. This is particularly problematic in high-density regions where it is clear that agents in the random walk align along the underlying lattice, whereas no such regular alignment is ever observed experimentally. To address these limitations, we present a lattice-free model of collective cell migration that explicitly incorporates crowding and adhesion. We derive a partial differential equation description of the discrete process and show that averaged simulation results compare very well with numerical solutions of the partial differential equation.

Mesh:

Year:  2013        PMID: 24483499     DOI: 10.1103/PhysRevE.88.062720

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  Spatial moment dynamics for collective cell movement incorporating a neighbour-dependent directional bias.

Authors:  Rachelle N Binny; Michael J Plank; Alex James
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

2.  A one-dimensional individual-based mechanical model of cell movement in heterogeneous tissues and its coarse-grained approximation.

Authors:  R J Murphy; P R Buenzli; R E Baker; M J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2019-07-24       Impact factor: 2.704

Review 3.  Mathematical models for cell migration: a non-local perspective.

Authors:  Li Chen; Kevin Painter; Christina Surulescu; Anna Zhigun
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

4.  The importance of volume exclusion in modelling cellular migration.

Authors:  Louise Dyson; Ruth E Baker
Journal:  J Math Biol       Date:  2014-09-28       Impact factor: 2.259

Review 5.  Integrated PK-PD and agent-based modeling in oncology.

Authors:  Zhihui Wang; Joseph D Butner; Vittorio Cristini; Thomas S Deisboeck
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-01-15       Impact factor: 2.745

6.  Spatial structure arising from neighbour-dependent bias in collective cell movement.

Authors:  Rachelle N Binny; Parvathi Haridas; Alex James; Richard Law; Matthew J Simpson; Michael J Plank
Journal:  PeerJ       Date:  2016-02-15       Impact factor: 2.984

7.  A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling.

Authors:  Jonah J Klowss; Alexander P Browning; Ryan J Murphy; Elliot J Carr; Michael J Plank; Gency Gunasingh; Nikolas K Haass; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2022-04-06       Impact factor: 4.118

8.  BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration.

Authors:  Andreas Deutsch; Josué Manik Nava-Sedeño; Simon Syga; Haralampos Hatzikirou
Journal:  PLoS Comput Biol       Date:  2021-06-15       Impact factor: 4.475

9.  Interpreting scratch assays using pair density dynamics and approximate Bayesian computation.

Authors:  Stuart T Johnston; Matthew J Simpson; D L Sean McElwain; Benjamin J Binder; Joshua V Ross
Journal:  Open Biol       Date:  2014-09       Impact factor: 6.411

10.  Modelling collective cell migration: neural crest as a model paradigm.

Authors:  Rasa Giniūnaitė; Ruth E Baker; Paul M Kulesa; Philip K Maini
Journal:  J Math Biol       Date:  2019-10-05       Impact factor: 2.259

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.