Literature DB >> 1806750

Morphogenesis in shape-space. Elementary meta-dynamics in a model of the immune network.

J Stewart1, F J Varela.   

Abstract

A unique feature of the immune system is that it possesses meta-dynamics: the process governing the removal of certain clones from the active population and the recruitment of new clones from the pool of lymphocytes freshly produced by the bone marrow. In this paper, we present a computer model which focuses on those aspects of the system that characteristically derive from the meta-dynamics as such. We observe that when a region of shape-space is densely populated, there is an emergence of dynamically quasi-stable configurations. Moreover, when the system develops in the presence of permanent self-antigens, the latter are systematically incorporated into such coherent configurations. We conclude that the meta-dynamics of the biological immune system may be such that it gives rise to the emergence of a connected, self-sustaining network that we call the Central Immune System: a coherent self-identity which incorporates the molecules of the somatic self and, more generally, reflects the history of its own development.

Mesh:

Substances:

Year:  1991        PMID: 1806750     DOI: 10.1016/s0022-5193(05)80152-3

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


  4 in total

1.  A new bell-shaped function for idiotypic interactions based on cross-linking.

Authors:  R J De Boer; M C Boerlijst; B Sulzer; A S Perelson
Journal:  Bull Math Biol       Date:  1996-03       Impact factor: 1.758

2.  Inverse analysis of empirical matrices of idiotypic network interactions.

Authors:  C B-Rao; J Stewart
Journal:  Bull Math Biol       Date:  1996-11       Impact factor: 1.758

3.  A Cayley tree immune network model with antibody dynamics.

Authors:  R W Anderson; A U Neumann; A S Perelson
Journal:  Bull Math Biol       Date:  1993-11       Impact factor: 1.758

Review 4.  Self-tolerance in a minimal model of the idiotypic network.

Authors:  Robert Schulz; Benjamin Werner; Ulrich Behn
Journal:  Front Immunol       Date:  2014-03-10       Impact factor: 7.561

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.