Literature DB >> 17471303

Decision-making by the immune response.

Robin E Callard1.   

Abstract

Decisions by uncommitted cells to differentiate down one lineage pathway or another is fundamental to developmental biology. In the immune system, lymphocyte precursors commit to T- or B-cell lineages and T-cell precursors to CD4 or CD8 independently of foreign antigen. T and B cells must also decide whether or not to respond to antigen and when a response is initiated, what sort of response to make such as the type of antibody, CD4 or CD8, and CD4 Th1 or Th2. The two basic mechanisms for these decision-making processes are selection and instruction. Selection depends on prior stochastic production of precommitted cells, which are then selected to respond by an appropriate signal; for example, CD8 and CD4 responses selected by peptide presented in association with major histocompatibility complex class I or II. In contrast, instruction occurs when an uncommitted precursor embarks upon a differentiation pathway in response to a particular set of signals; for example, Th1 and Th2 lineage commitment. In this paper, the signals that determine Th1 and Th2 differentiation are examined with a mathematical model and shown to act as a bistable switch permitting either Tbet or Gata3 to be expressed in an individual cell but not both. The model is used to show how the Tbet Gata3 network within an individual cell interacts with cytokine signals between cells and suggests how Th1 and Th2 lineage commitment can become irreversible. These considerations provide an example of how mathematical models can be used to gain a better understanding of lymphocyte differentiation in an immune response.

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Year:  2007        PMID: 17471303     DOI: 10.1038/sj.icb.7100060

Source DB:  PubMed          Journal:  Immunol Cell Biol        ISSN: 0818-9641            Impact factor:   5.126


  10 in total

1.  BPTF Is Essential for T Cell Homeostasis and Function.

Authors:  Bing Wu; Yunqi Wang; Chaojun Wang; Gang Greg Wang; Jie Wu; Yisong Y Wan
Journal:  J Immunol       Date:  2016-10-31       Impact factor: 5.422

Review 2.  Demystifying the cytokine network: Mathematical models point the way.

Authors:  Penelope A Morel; Robin E C Lee; James R Faeder
Journal:  Cytokine       Date:  2016-12-03       Impact factor: 3.861

3.  A mathematical model for the reciprocal differentiation of T helper 17 cells and induced regulatory T cells.

Authors:  Tian Hong; Jianhua Xing; Liwu Li; John J Tyson
Journal:  PLoS Comput Biol       Date:  2011-07-28       Impact factor: 4.475

4.  Competition for antigen between Th1 and Th2 responses determines the timing of the immune response switch during Mycobaterium avium subspecies paratuberulosis infection in ruminants.

Authors:  Gesham Magombedze; Shigetoshi Eda; Vitaly V Ganusov
Journal:  PLoS Comput Biol       Date:  2014-01-09       Impact factor: 4.475

5.  Cell Fate Decision as High-Dimensional Critical State Transition.

Authors:  Mitra Mojtahedi; Alexander Skupin; Joseph Zhou; Ivan G Castaño; Rebecca Y Y Leong-Quong; Hannah Chang; Kalliopi Trachana; Alessandro Giuliani; Sui Huang
Journal:  PLoS Biol       Date:  2016-12-27       Impact factor: 8.029

6.  Mixed Th1 and Th2 Mycobacterium tuberculosis-specific CD4 T cell responses in patients with active pulmonary tuberculosis from Tanzania.

Authors:  Patrizia Amelio; Damien Portevin; Klaus Reither; Francis Mhimbira; Maxmillian Mpina; Anneth Tumbo; Beatrice Nickel; Hanspeter Marti; Stefanie Knopp; Song Ding; Adam Penn-Nicholson; Fatoumatta Darboe; Khalid Ohmiti; Thomas J Scriba; Giuseppe Pantaleo; Claudia Daubenberger; Matthieu Perreau
Journal:  PLoS Negl Trop Dis       Date:  2017-07-31

Review 7.  Multistability in Macrophage Activation Pathways and Metabolic Implications.

Authors:  Carsten Geiß; Elvira Salas; Jose Guevara-Coto; Anne Régnier-Vigouroux; Rodrigo A Mora-Rodríguez
Journal:  Cells       Date:  2022-01-25       Impact factor: 6.600

8.  Cellular and population plasticity of helper CD4(+) T cell responses.

Authors:  Gesham Magombedze; Pradeep B J Reddy; Shigetoshi Eda; Vitaly V Ganusov
Journal:  Front Physiol       Date:  2013-08-16       Impact factor: 4.566

9.  Mapping differentiation under mixed culture conditions reveals a tunable continuum of T cell fates.

Authors:  Yaron E Antebi; Shlomit Reich-Zeliger; Yuval Hart; Avi Mayo; Inbal Eizenberg; Jacob Rimer; Prabhakar Putheti; Dana Pe'er; Nir Friedman
Journal:  PLoS Biol       Date:  2013-07-30       Impact factor: 8.029

10.  Anandamide attenuates Th-17 cell-mediated delayed-type hypersensitivity response by triggering IL-10 production and consequent microRNA induction.

Authors:  Austin R Jackson; Prakash Nagarkatti; Mitzi Nagarkatti
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

  10 in total

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