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The competitive nature of signal transducer and activator of transcription complex formation drives phenotype switching of T cells

  • Ildar I. Sadreev*
  • , Michael Z.Q. Chen
  • , Yoshinori Umezawa
  • , Vadim N. Biktashev
  • , Claudia Kemper
  • , Diana V. Salakhieva
  • , Gavin I. Welsh
  • , Nikolay V. Kotov
  • *Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

11 Citations (Scopus)
1002 Downloads (Pure)

Abstract

Signal transducers and activators of transcription (STATs) are key molecular determinants of T-cell fate and effector function. Several inflammatory diseases are characterized by an altered balance of T-cell phenotypes and cytokine secretion. STATs, therefore, represent viable therapeutic targets in numerous pathologies. However, the underlying mechanisms by which the same STAT proteins regulate both the development of different T-cell phenotypes and their plasticity during changes in extracellular conditions remain unclear. In this study, we investigated the STAT-mediated regulation of T-cell phenotype formation and plasticity using mathematical modelling and experimental data for intracellular STAT signalling proteins. The close fit of our model predictions to the experimental data allows us to propose a potential mechanism for T-cell switching. According to this mechanism, T-cell phenotype switching is the result of the relative redistribution of STAT dimer complexes caused by the extracellular cytokine-dependent STAT competition effects. The developed model predicts that the balance between the intracellular STAT species defines the amount of the produced cytokines and thereby T-cell phenotypes. The model predictions are consistent with the experimentally observed interferon-γ to interleukin-10 switching that regulates human T helper type 1/type 1 regulatory T-cell responses. The proposed model is applicable to a number of STAT signalling circuits.

Original languageEnglish
Pages (from-to)488-501
Number of pages14
JournalImmunology
Volume153
Issue number4
Early online date22 Nov 2017
DOIs
Publication statusPublished - Apr 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • interferon-γ
  • interleukin-10
  • phenotype switching
  • signal transducers and activators of transcription
  • T cells

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