Literature DB >> 22100488

T-cell movement on the reticular network.

Graham M Donovan1, Grant Lythe.   

Abstract

The idea that the apparently random motion of T cells in lymph nodes is a result of movement on a reticular network (RN) has received support from dynamic imaging experiments and theoretical studies. We present a mathematical representation of the RN consisting of edges connecting vertices that are randomly distributed in three-dimensional space, and models of lymphocyte movement on such networks including constant speed motion along edges and Brownian motion, not in three-dimensions, but only along edges. The simplest model, in which a cell moves with a constant speed along edges, is consistent with mean-squared displacement proportional to time over intervals long enough to include several changes of direction. A non-random distribution of turning angles is one consequence of motion on a preformed network. Confining cell movement to a network does not, in itself, increase the frequency of cell-cell encounters.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22100488     DOI: 10.1016/j.jtbi.2011.11.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  9 in total

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Review 2.  Mathematics in modern immunology.

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Authors:  Johannes Textor; Judith N Mandl; Rob J de Boer
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4.  Leukocyte Motility Models Assessed through Simulation and Multi-objective Optimization-Based Model Selection.

Authors:  Mark N Read; Jacqueline Bailey; Jon Timmis; Tatyana Chtanova
Journal:  PLoS Comput Biol       Date:  2016-09-02       Impact factor: 4.475

Review 5.  Integrative Computational Modeling of the Lymph Node Stromal Cell Landscape.

Authors:  Mario Novkovic; Lucas Onder; Hung-Wei Cheng; Gennady Bocharov; Burkhard Ludewig
Journal:  Front Immunol       Date:  2018-10-23       Impact factor: 7.561

Review 6.  Fate of a Naive T Cell: A Stochastic Journey.

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Journal:  Front Immunol       Date:  2019-03-06       Impact factor: 7.561

7.  High-resolution 3D imaging and topological mapping of the lymph node conduit system.

Authors:  Inken D Kelch; Gib Bogle; Gregory B Sands; Anthony R J Phillips; Ian J LeGrice; P Rod Dunbar
Journal:  PLoS Biol       Date:  2019-12-19       Impact factor: 8.029

8.  Analytical results on the Beauchemin model of lymphocyte migration.

Authors:  Johannes Textor; Mathieu Sinn; Rob J de Boer
Journal:  BMC Bioinformatics       Date:  2013-04-17       Impact factor: 3.169

9.  Persistence and Adaptation in Immunity: T Cells Balance the Extent and Thoroughness of Search.

Authors:  G Matthew Fricke; Kenneth A Letendre; Melanie E Moses; Judy L Cannon
Journal:  PLoS Comput Biol       Date:  2016-03-18       Impact factor: 4.475

  9 in total

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