Literature DB >> 8785275

Cross-linking reconsidered: binding and cross-linking fields and the cellular response.

B Sulzer1, R J De Boer, A S Perelson.   

Abstract

We analyze a model for the reversible cross-linking of cell surface receptors by a collection of bivalent ligands with different affinities for the receptor as would be found in a polyclonal anti-receptor serum. We assume that the amount of cross-linking determines, via a monotonic function, the rate at which cells become activated and divide. In addition to the density of receptors on the cell surface, two quantities, the binding field and the cross-linking field, are needed to characterize the cross-linking curve, i.e., the equilibrium concentration of cross-linked receptors plotted as a function of the total ligand site concentration. The binding field is the sum of all ligand site concentrations weighted by their respective binding affinities, and the cross-linking field is the sum of all ligand site concentrations weighted by the product of their respective binding and cross-linking affinity and the total receptor density. Assuming that the cross-linking affinity decreases if the binding affinity decreases, we find that the height of the cross-linking curve decreases, its width narrows, and its center shifts to higher ligand site concentrations as the affinities decrease. Moreover, when we consider cross-linking-induced proliferation, we find that there is a minimum cross-linking affinity that must be surpassed before a clone can expand. We also show that under many circumstances a polyclonal antiserum would be more likely than a monoclonal antibody to lead to cross-linking-induced proliferation.

Mesh:

Substances:

Year:  1996        PMID: 8785275      PMCID: PMC1225045          DOI: 10.1016/S0006-3495(96)79676-5

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  43 in total

Review 1.  Transmembrane signaling: the joy of aggregation.

Authors:  H Metzger
Journal:  J Immunol       Date:  1992-09-01       Impact factor: 5.422

Review 2.  Anti-CD4 monoclonal antibodies in therapy: creation of nonclassical tolerance in the adult.

Authors:  J A Shizuru; S E Alters; C G Fathman
Journal:  Immunol Rev       Date:  1992-10       Impact factor: 12.988

Review 3.  The cellular basis of immunologic memory.

Authors:  F Celada
Journal:  Prog Allergy       Date:  1971

4.  Memory in idiotypic networks due to competition between proliferation and differentiation.

Authors:  B Sulzer; J L van Hemmen; A U Neumann; U Behn
Journal:  Bull Math Biol       Date:  1993-11       Impact factor: 1.758

5.  Crosslinking of membrane immunoglobulins and B-cell activation: a simple model based on percolation theory.

Authors:  J Faro; S Velasco
Journal:  Proc Biol Sci       Date:  1993-11-22       Impact factor: 5.349

6.  Numerical analysis of a model of ligand-induced B-cell antigen-receptor clustering. Implications for simple models of B-cell activation in an immune network.

Authors:  J Faro; S Velasco
Journal:  J Theor Biol       Date:  1994-03-07       Impact factor: 2.691

7.  Molecular determinants of immunogenicity: the immunon model of immune response.

Authors:  H M Dintzis; R Z Dintzis; B Vogelstein
Journal:  Proc Natl Acad Sci U S A       Date:  1976-10       Impact factor: 11.205

8.  The kinetics of aggregation phenomena. I. Minimal models for patch formation of lymphocyte membranes.

Authors:  C DeLisi; A Perelson
Journal:  J Theor Biol       Date:  1976-10-07       Impact factor: 2.691

9.  Theory of equilibrium binding of symmetric bivalent haptens to cell surface antibody: application to histamine release from basophils.

Authors:  M Dembo; B Goldstein
Journal:  J Immunol       Date:  1978-07       Impact factor: 5.422

10.  Histamine release due to bivalent penicilloyl haptens: control by the basophil plasma membrane.

Authors:  M Dembo; B Goldstein; A K Sobotka; L M Lichtenstein
Journal:  J Immunol       Date:  1978-07       Impact factor: 5.422

View more
  4 in total

1.  Stochastic models of receptor oligomerization by bivalent ligand.

Authors:  Tomás Alarcón; Karen M Page
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

2.  Mathematical models of the VEGF receptor and its role in cancer therapy.

Authors:  Tomás Alarcón; Karen M Page
Journal:  J R Soc Interface       Date:  2007-04-22       Impact factor: 4.118

3.  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

4.  Dynamic trafficking and turnover of JAM-C is essential for endothelial cell migration.

Authors:  Katja B Kostelnik; Amy Barker; Christopher Schultz; Tom P Mitchell; Vinothini Rajeeve; Ian J White; Michel Aurrand-Lions; Sussan Nourshargh; Pedro Cutillas; Thomas D Nightingale
Journal:  PLoS Biol       Date:  2019-12-02       Impact factor: 8.029

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.