Literature DB >> 12749538

Dynamical analysis of a degenerate primary and secondary humoral immune response.

Yoram Louzoun1, Martin Weigert, Gyan Bhanot.   

Abstract

Lymphocyte receptor response to antigen is degenerate. Each receptor can have a high affinity to more than one antigen. The optimal level of degeneracy was previously modeled using different methods; all showing that the degeneracy level should be inversely proportional to the probability that an antigen belongs to the self repertoire. Here we develop a new formalism, reproducing the results of previous models, which enables us to study the relation between receptor degeneracy and the pathogen-immune cell interaction dynamics, in primary and secondary response. We begin by developing a general formalism and reproducing the results obtained by Nemazee: (1) that an optimal immune system will have a capacity which is inversely proportional to the fraction of self-antigens and (2) that the number of self-reactive cells that the body destroys is tuned by this capacity optimization to be 63%. We then use our extended framework to relate the minimal number of B cell precursor required to mount an immune response to the naive B cell production rate. Finally, we analyze the dynamics of the interaction between the immune system and a pathogen and show that memory cells may be used as the first line of defense, while newly created cells are used later to refine the immune response.

Mesh:

Substances:

Year:  2003        PMID: 12749538     DOI: 10.1016/S0092-8240(03)00023-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Toward rigorous comprehension of biological complexity: modeling, execution, and visualization of thymic T-cell maturation.

Authors:  Sol Efroni; David Harel; Irun R Cohen
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

Review 2.  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

3.  Why do adaptive immune responses cross-react?

Authors:  Karen J Fairlie-Clarke; David M Shuker; Andrea L Graham
Journal:  Evol Appl       Date:  2008-12-08       Impact factor: 5.183

4.  Light chain editing generates polyreactive antibodies in chronic graft-versus-host reaction.

Authors:  Esther J Witsch; Hong Cao; Hidehiro Fukuyama; Martin Weigert
Journal:  J Exp Med       Date:  2006-06-26       Impact factor: 14.307

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.