Literature DB >> 12356676

A computerized model for the self-non-self discrimination at the level of the T(h) (Th genesis). I. The origin of 'primer' effector T(h) cells.

Melvin Cohn1, Rodney E Langman, James J Mata.   

Abstract

The ability of the immune system to respond by ridding a pathogen without debilitating the host depends upon the ability of the effector T(h) (eT(h)) to make a discrimination between 'self' and 'non-self' antigens. This ability is somatically learned and involves the sorting of the somatically generated random repertoire of initial state T(h) (iT(h)) into two classes of specificity: one, anti-self, the functional expression of which must be inactivated; the other, anti-non-self, the functional expression of which must be activated. We propose a model for the origin of a sufficiency of eT(h) anti-non-self and an insufficiency of eT(h) anti-self based on two postulates. (i) An antigen-independent pathway to a priming level of eT(h) anti-non-self under conditions where iT(h) anti-self are effectively deleted by interaction with self. This state is established during a window of fetal development and maintained throughout life because self is persistent. (ii) Associative recognition of antigen (peptide-MHC class II) on an antigen-presenting cell between iT(h) and 'primer' eT(h) that results in the rapid induction of an effective level of helper activity to non-self antigen. A computer simulation is provided that enables evaluation of this model.

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Year:  2002        PMID: 12356676      PMCID: PMC1360151          DOI: 10.1093/intimm/dxf078

Source DB:  PubMed          Journal:  Int Immunol        ISSN: 0953-8178            Impact factor:   4.823


  5 in total

1.  Self-nonself discrimination revisited. Introduction.

Authors:  R E Langman; M Cohn
Journal:  Semin Immunol       Date:  2000-06       Impact factor: 11.130

Review 2.  A minimal model for the self-nonself discrimination: a return to the basics.

Authors:  R E Langman; M Cohn
Journal:  Semin Immunol       Date:  2000-06       Impact factor: 11.130

3.  The specificity of immunological reactions.

Authors:  R E Langman
Journal:  Mol Immunol       Date:  2000-08       Impact factor: 4.407

4.  A new concept of immune specificity emerges from a consideration of the self-nonself discrimination.

Authors:  M Cohn
Journal:  Cell Immunol       Date:  1997-11-01       Impact factor: 4.868

5.  The E-T (elephant-tadpole) paradox necessitates the concept of a unit of B-cell function: the protection.

Authors:  R E Langman; M Cohn
Journal:  Mol Immunol       Date:  1987-07       Impact factor: 4.407

  5 in total
  17 in total

1.  A computerized model for the self-non-self discrimination at the level of the T(h) (Th genesis). II. The behavior of the system upon encounter with non-self antigens.

Authors:  Rodney E Langman; James J Mata; Melvin Cohn
Journal:  Int Immunol       Date:  2003-05       Impact factor: 4.823

Review 2.  A biological context for the self-nonself discrimination and the regulation of effector class by the immune system.

Authors:  Melvin Cohn
Journal:  Immunol Res       Date:  2005       Impact factor: 2.829

Review 3.  The common sense of the self-nonself discrimination.

Authors:  Melvin Cohn
Journal:  Springer Semin Immunopathol       Date:  2005-02-15

Review 4.  A commentary on the Zinkernagel-Hengartner 'Credo 2004'.

Authors:  M Cohn
Journal:  Scand J Immunol       Date:  2005-06       Impact factor: 3.487

Review 5.  Does the signal for the activation of T cells originate from the antigen-presenting cell or the effector T-helper?

Authors:  Melvin Cohn
Journal:  Cell Immunol       Date:  2006-09-11       Impact factor: 4.868

Review 6.  What roles do regulatory T cells play in the control of the adaptive immune response?

Authors:  Melvin Cohn
Journal:  Int Immunol       Date:  2008-07-25       Impact factor: 4.823

Review 7.  A stepwise model of polyreactivity of the T cell antigen-receptor (TCR): its impact on the self-nonself discrimination and on related observations (receptor editing, anergy, dual receptor cells).

Authors:  Melvin Cohn
Journal:  Cell Mol Life Sci       Date:  2013-12-14       Impact factor: 9.261

8.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

9.  A rationalized set of default postulates that permit a coherent description of the immune system amenable to computer modeling.

Authors:  M Cohn
Journal:  Scand J Immunol       Date:  2008-10       Impact factor: 3.487

10.  On the opposing views of the self-nonself discrimination by the immune system.

Authors:  Melvin Cohn
Journal:  Immunol Cell Biol       Date:  2008-12-02       Impact factor: 5.126

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