Literature DB >> 15380383

Combining cytokine signalling with T-bet and GATA-3 regulation in Th1 and Th2 differentiation: a model for cellular decision-making.

Andrew Yates1, Robin Callard, Jaroslav Stark.   

Abstract

Differentiation of uncommitted T cells into Th1 and Th2 subpopulations depends on both intracellular events controlling expression of transcription factors T-bet and GATA-3 and interactions between cells mediated by cytokines, particularly IL4 and IFNgamma. A great deal is known about the intracellular and extracellular events involved in Th1 and Th2 (Th) differentiation, but how these are integrated in T-cell populations or indeed why extracellular cytokine control is required after a decision has been made at a transcriptional level is not at all understood. We present a mathematical model of CD4+ T-cell differentiation that describes both intracellular and extracellular processes and the interactions between them. It shows how antigen stimulation in conjunction with cytokines and other extracellular signals gives rise to rapid, reversible and mutually exclusive expression of T-bet or GATA-3 due to feedback between the transcription factors and their signalling pathways. After transient signalling by APC, continued Th1 and Th2 differentiation is shown to require cytokine production by the proliferating T cells. Moreover, intercellular communication by T-cell-derived cytokines lowers the threshold of APC signals required for Th differentiation. This provides an explanation for enhanced Th differentiation by pre-existing memory T cells. The model also predicts that Th differentiation can be reversed at the single cell level before commitment by manipulating the cytokine environment. It suggests a mechanism for switching between Th1 and Th2 in the so-called irreversible state that may be developed as a novel therapeutic means of manipulating Th1 and Th2 responses.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15380383     DOI: 10.1016/j.jtbi.2004.06.013

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


  38 in total

Review 1.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

Review 2.  Immunology and mathematics: crossing the divide.

Authors:  Robin E Callard; Andrew J Yates
Journal:  Immunology       Date:  2005-05       Impact factor: 7.397

3.  Epicutaneous immunization converts subsequent and established antigen-specific T helper type 1 (Th1) to Th2-type responses.

Authors:  Jessica Strid; Robin Callard; Stephan Strobel
Journal:  Immunology       Date:  2006-06-08       Impact factor: 7.397

4.  Coupled feedback loops form dynamic motifs of cellular networks.

Authors:  Jeong-Rae Kim; Yeoin Yoon; Kwang-Hyun Cho
Journal:  Biophys J       Date:  2007-10-19       Impact factor: 4.033

Review 5.  Understanding diseases by mouse click: the promise and potential of computational approaches in Systems Biology.

Authors:  F Klauschen; B R Angermann; M Meier-Schellersheim
Journal:  Clin Exp Immunol       Date:  2007-07-30       Impact factor: 4.330

6.  Diverse continuum of CD4+ T-cell states is determined by hierarchical additive integration of cytokine signals.

Authors:  Inbal Eizenberg-Magar; Jacob Rimer; Irina Zaretsky; David Lara-Astiaso; Shlomit Reich-Zeliger; Nir Friedman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-17       Impact factor: 11.205

7.  On the role of CD8 T cells in the control of persistent infections.

Authors:  Sean P Stromberg; Rustom Antia
Journal:  Biophys J       Date:  2012-10-16       Impact factor: 4.033

8.  Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.

Authors:  Atchuta Srinivas Duddu; Sarthak Sahoo; Souvadra Hati; Siddharth Jhunjhunwala; Mohit Kumar Jolly
Journal:  J R Soc Interface       Date:  2020-09-30       Impact factor: 4.118

Review 9.  Mathematical and computational approaches can complement experimental studies of host-pathogen interactions.

Authors:  Denise E Kirschner; Jennifer J Linderman
Journal:  Cell Microbiol       Date:  2009-04       Impact factor: 3.715

10.  The danger is growing! A new paradigm for immune system activation and peripheral tolerance.

Authors:  Sharon Bewick; Ruoting Yang; Mingjun Zhang
Journal:  PLoS One       Date:  2009-12-02       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.