Literature DB >> 10097134

A logical analysis of T cell activation and anergy.

M Kaufman1, F Andris, O Leo.   

Abstract

Interaction of the antigen-specific receptor of T lymphocytes with its antigenic ligand can lead either to cell activation or to a state of profound unresponsiveness (anergy). Although subtle changes in the nature of the ligand or of the antigen-presenting cell have been shown to affect the outcome of T cell receptor ligation, the mechanism by which the same receptor can induce alternative cellular responses is not completely understood. A model for explaining both positive (cell proliferation and cytokine production) and negative (anergy induction) signaling of T lymphocytes is described herein. This model relies on the autophosphorylative properties of the tyrosine kinases associated with the T cell receptor. One of its basic assumptions is that the kinase activity of these receptor-associated enzymes remains above background level after ligand removal and is responsible for cellular unresponsiveness. Using a simple Boolean formalism, we show how the timing of the binding and intracellular signal-transduction events can affect the properties of receptor signaling and determine the type of cellular response. The present approach integrates into a common framework a large body of experimental observations and allows specification of conditions leading to cellular activation or to anergy.

Mesh:

Substances:

Year:  1999        PMID: 10097134      PMCID: PMC22391          DOI: 10.1073/pnas.96.7.3894

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

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Authors:  H Quill; M P Riley; E A Cho; J E Casnellie; J C Reed; T Torigoe
Journal:  J Immunol       Date:  1992-11-01       Impact factor: 5.422

2.  Clonal anergy is induced in vitro by T cell receptor occupancy in the absence of proliferation.

Authors:  D R DeSilva; K B Urdahl; M K Jenkins
Journal:  J Immunol       Date:  1991-11-15       Impact factor: 5.422

Review 3.  T cell receptor antagonists and partial agonists.

Authors:  S C Jameson; M J Bevan
Journal:  Immunity       Date:  1995-01       Impact factor: 31.745

4.  Kinetic proofreading in T-cell receptor signal transduction.

Authors:  T W McKeithan
Journal:  Proc Natl Acad Sci U S A       Date:  1995-05-23       Impact factor: 11.205

Review 5.  Peripheral T-cell reactivity to bacterial superantigens in vivo: the response/anergy paradox.

Authors:  H R MacDonald; R K Lees; S Baschieri; T Herrmann; A R Lussow
Journal:  Immunol Rev       Date:  1993-06       Impact factor: 12.988

Review 6.  T cell antigen receptor signal transduction.

Authors:  D Qian; A Weiss
Journal:  Curr Opin Cell Biol       Date:  1997-04       Impact factor: 8.382

7.  Induction of T-cell anergy by altered T-cell-receptor ligand on live antigen-presenting cells.

Authors:  J Sloan-Lancaster; B D Evavold; P M Allen
Journal:  Nature       Date:  1993-05-13       Impact factor: 49.962

8.  Natural variants of cytotoxic epitopes are T-cell receptor antagonists for antiviral cytotoxic T cells.

Authors:  A Bertoletti; A Sette; F V Chisari; A Penna; M Levrero; M De Carli; F Fiaccadori; C Ferrari
Journal:  Nature       Date:  1994-06-02       Impact factor: 49.962

9.  Prevention of T cell anergy by signaling through the gamma c chain of the IL-2 receptor.

Authors:  V A Boussiotis; D L Barber; T Nakarai; G J Freeman; J G Gribben; G M Bernstein; A D D'Andrea; J Ritz; L M Nadler
Journal:  Science       Date:  1994-11-11       Impact factor: 47.728

10.  Anergic T-lymphocyte clones have altered inositol phosphate, calcium, and tyrosine kinase signaling pathways.

Authors:  T F Gajewski; D Qian; P Fields; F W Fitch
Journal:  Proc Natl Acad Sci U S A       Date:  1994-01-04       Impact factor: 11.205

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  8 in total

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Review 4.  Mathematical modeling of intracellular signaling pathways.

Authors:  Edda Klipp; Wolfram Liebermeister
Journal:  BMC Neurosci       Date:  2006-10-30       Impact factor: 3.288

5.  Visual setup of logical models of signaling and regulatory networks with ProMoT.

Authors:  Julio Saez-Rodriguez; Sebastian Mirschel; Rebecca Hemenway; Steffen Klamt; Ernst Dieter Gilles; Martin Ginkel
Journal:  BMC Bioinformatics       Date:  2006-11-17       Impact factor: 3.169

6.  A methodology for the structural and functional analysis of signaling and regulatory networks.

Authors:  Steffen Klamt; Julio Saez-Rodriguez; Jonathan A Lindquist; Luca Simeoni; Ernst D Gilles
Journal:  BMC Bioinformatics       Date:  2006-02-07       Impact factor: 3.169

7.  Modeling systems-level regulation of host immune responses.

Authors:  Juilee Thakar; Mylisa Pilione; Girish Kirimanjeswara; Eric T Harvill; Réka Albert
Journal:  PLoS Comput Biol       Date:  2007-04-30       Impact factor: 4.475

Review 8.  Understanding the Dynamics of T-Cell Activation in Health and Disease Through the Lens of Computational Modeling.

Authors:  Jennifer A Rohrs; Pin Wang; Stacey D Finley
Journal:  JCO Clin Cancer Inform       Date:  2019-01
  8 in total

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