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3D computation modelling of the influence of cytokine secretion on Th-cell development suggests that negative selection (inhibition of Th1 cells) is more effective than positive selection by IL-4 for Th2 cell dominance
University of Skövde, School of Life Sciences.
University of Skövde, School of Life Sciences.
University of Skövde, School of Life Sciences.
University of Skövde, School of Life Sciences.
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2007 (English)In: Immunology and Cell Biology, ISSN 0818-9641, E-ISSN 1440-1711, Vol. 85, no 3, 189-196 p.Article in journal (Refereed) Published
Abstract [en]

Th-cell development has been suggested to include selective mechanisms in which certain cytokines select either Th1 or Th2 cells to proliferate and grow. The selective theory is based on the observation that Th2 cells secrete IL-4, a cytokine that promotes Th2 development, whereas Th1 cells secrete interferon-gamma (IFN-italic gamma) that favours Th1 development, and both positive and negative selective influences have been suggested to operate. In this study, we investigate the role of autocrine secretion and utilization of IL-4 by Th2 cells and address the question of whether an activated Th2 cell can be positively selected by IL-4 secreted from other Th2 cells. We present a spatial three dimensional (3D) modelling approach to simulate the interaction between the IL-4 ligand and its IL-4 receptors expressed on discrete IL-4 secreting cells. The simulations, based on existing experimental data on the IL-4 receptor–ligand system, illustrate how Th-cell development is highly dependent on the distance between cells that are communicating. The model suggests that a single Th2 cell is likely to communicate with possible target cells within a range of approximately 100 mum and that an activated Th2 cell manages to fill most of its own IL-4 receptors, even at a low secretion rate. The predictions made by the model suggest that negative selection against Th1 cells is more effective than positive selection by IL-4 for promoting Th2 dominance.

Place, publisher, year, edition, pages
Nature Publishing Group, 2007. Vol. 85, no 3, 189-196 p.
Keyword [en]
simulation, IL-4, diffusion, differentiation
Identifiers
URN: urn:nbn:se:his:diva-2034DOI: 10.1038/sj.icb.7100023ISI: 000246427900005PubMedID: 17199110Scopus ID: 2-s2.0-34247868910OAI: oai:DiVA.org:his-2034DiVA: diva2:32310
Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2013-04-11Bibliographically approved

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Jansson, AndreasHarlén, MikaelKarlsson, StefanNilsson, Patric
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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