Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
THE COMPETITIVE NATURE OF STAT COMPLEX FORMATION DRIVES PHENOTYPE SWITCHING OF T CELLS
Form of presentationArticles in international journals and collections
Year of publication2017
Языканглийский
  • Kotov Nikolay Viktorovich, author
  • Salakhieva Diana Vitalevna, author
  • I. I Sadreev , Michael Z, Q Chen , Yoshinori Umezawa , Claudia Kemper, Gavin I Welsh Ildar I, author
  • Bibliographic description in the original language Ildar I Sadreev, The competitive nature of STAT 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.-2017.-Cite as: arXiv:1701.05503 [q-bio.MN]
    Annotation Signal transducers and activators of transcription (STATs) are key molecular determinants of T cell fate and effector function. A number of 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 of how 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 for IFN-{\gamma} to IL-10 switching allows us to propose a potential mechanism for T cell switching that regulates human Th1/Tr1 responses. According to this mechanism, T cell phenotype switching is due to
    Keywords Quantitative Biology, Molecular Networks
    The name of the journal IMMUNOLOGY
    URL https://arxiv.org/abs/1701.05503
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=170473&p_lang=2

    Full metadata record