1. The competitive nature of signal transducer and activator of transcription complex formation drives phenotype switching of T cells
- Author
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Gavin I. Welsh, Nikolay V. Kotov, Vadim N. Biktashev, Yoshinori Umezawa, Claudia Kemper, Michael Z. Q. Chen, Ildar I. Sadreev, and Diana V. Salakhieva
- Subjects
0301 basic medicine ,T-Lymphocytes ,T cell ,interleukin-10 ,Immunology ,T cells ,Biology ,phenotype switching ,stat ,03 medical and health sciences ,0302 clinical medicine ,interferon-γ ,medicine ,Humans ,Immunology and Allergy ,STAT4 ,STAT6 ,Genetics ,Effector ,signal transducers and activators of transcription ,Models, Immunological ,Original Articles ,Cell biology ,STAT Transcription Factors ,Phenotype ,030104 developmental biology ,medicine.anatomical_structure ,STAT protein ,Cytokine secretion ,Intracellular ,Signal Transduction ,030215 immunology - Abstract
Summary 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 modeling and experimental data for intracellular STAT signaling 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 due to 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 IFN-γ to IL-10 switching that regulates human Th1/Tr1 responses. The proposed model is applicable to a number of STAT signaling circuits. This article is protected by copyright. All rights reserved.
- Published
- 2017
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