z-logo
Premium
Simulating T‐cell motility in the lymph node paracortex with a packed lattice geometry
Author(s) -
Bogle Gib,
Dunbar P Rod
Publication year - 2008
Publication title -
immunology and cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.999
H-Index - 104
eISSN - 1440-1711
pISSN - 0818-9641
DOI - 10.1038/icb.2008.60
Subject(s) - lattice (music) , motility , random walk , lymph node , population , biological system , node (physics) , physics , geometry , statistical physics , computer science , mathematics , simulation , biology , microbiology and biotechnology , statistics , immunology , demography , sociology , acoustics , quantum mechanics
Agent‐based simulation modelling of T‐cell trafficking, activation and proliferation in the lymph node paracortex requires a model for cell motility. Such a model must be able to reproduce the observed random‐walk behaviour of T cells, while accommodating large numbers of tightly packed cells, and must be computationally efficient. We report the development of a motility model, based on a three‐dimensional lattice geometry, that meets these objectives. Cells make discrete jumps between neighbouring lattice sites in directions that are randomly determined from specified discrete probability distributions, which are defined by a small number of parameters. It is shown that the main characteristics of the random motion of T cells as typically observed in vivo can be reproduced by suitable specification of model parameters. The model is computationally highly efficient and provides a suitable engine for a model capable of simulating the full T‐cell population of the paracortex.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom