Literature DB >> 2580713

Constraints in T-B cooperation related to epitope topology on E. coli beta-galactosidase. I. The fine specificity of T cells dictates the fine specificity of antibodies directed to conformation-dependent determinants.

F Manca, A Kunkl, D Fenoglio, A Fowler, E Sercarz, F Celada.   

Abstract

Experiments to test the relationship between the epitopes on a protein antigen recognized by T and B cells in their collaboration to produce antibody cannot rely solely on hapten-carrier models. In the present work we used E. coli beta-galactosidase, a molecule whose tertiary and quaternary epitopes have been well characterized, as the model antigen. T helper cells were raised by stimulating mice with the intact or the denatured molecule or with any of several beta-galactosidase cyanogen bromide peptides. In a series of in vitro helper T cell assays we confronted the various T populations with B cells preimmunized with the native antigen, and we tested their capacity to help production of (a) binding antibodies and (b) antibodies directed to single conformational epitopes, characterized by their capacity to protect the enzyme from heat denaturation or to activate defective beta-galactosidase. According to our results, (a) equivalent T cell help can be provided by T helper cells primed with native or denatured antigen, even for the production of "conformational" antibodies; (b) one of the peptides (CB-18) is most efficient in raising help for binding antibodies; and (c) two peptides (CB-20 and CB-21) rank highest in priming T helper cells for the eventual production of protecting and activating antibodies, respectively. Thus, not every beta-galactosidase-specific T helper cell is useful in providing help to B cells specific for any particular epitope on the molecule, but rather preferential pairings exist, possibly governed by a proximity rule.

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Year:  1985        PMID: 2580713     DOI: 10.1002/eji.1830150408

Source DB:  PubMed          Journal:  Eur J Immunol        ISSN: 0014-2980            Impact factor:   5.532


  31 in total

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Journal:  Infect Immun       Date:  2005-02       Impact factor: 3.441

2.  Increased proteolysis of diphtheria toxin by human monocytes after heat shock: a subsidiary role for heat-shock protein 70 in antigen processing.

Authors:  Barbara S Polla; Françoise Gabert; Brigitte M-N Peyrusse; Muriel R Jacquier-Sarlin
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3.  Natural antibodies that react with V-region peptide epitopes of DNA-binding antibodies are made by mice with systemic lupus erythematosus as disease develops.

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Journal:  Immunology       Date:  1997-11       Impact factor: 7.397

4.  Rapid microsphere-assisted peptide screening (MAPS) of promiscuous MHCII-binding peptides in Zika virus envelope protein.

Authors:  Mason R Smith; Luke F Bugada; Fei Wen
Journal:  AIChE J       Date:  2019-06-11       Impact factor: 3.993

5.  FcepsilonRI-mediated antigen endocytosis turns interferon-gamma-treated mouse mast cells from inefficient into potent antigen-presenting cells.

Authors:  C Tkaczyk; I Villa; R Peronet; B David; S Mécheri
Journal:  Immunology       Date:  1999-06       Impact factor: 7.397

6.  Further characterization of immunomodulation by a monoclonal antibody against Streptococcus mutans antigen P1.

Authors:  Nikki R Rhodin; Marloes L J A Van Tilburg; Monika W Oli; William P McArthur; L Jeannine Brady
Journal:  Infect Immun       Date:  2004-01       Impact factor: 3.441

7.  Differential targeting of viral components by CD4+ versus CD8+ T lymphocytes in dengue virus infection.

Authors:  Laura Rivino; Emmanuelle A P Kumaran; Vojislav Jovanovic; Karen Nadua; En Wei Teo; Shyue Wei Pang; Guo Hui Teo; Victor Chih Hao Gan; David C Lye; Yee Sin Leo; Brendon J Hanson; Kenneth G C Smith; Antonio Bertoletti; David M Kemeny; Paul A MacAry
Journal:  J Virol       Date:  2012-12-19       Impact factor: 5.103

8.  Human T cell responses to beta-galactosidase.

Authors:  J D Oxley; R H Brookes; L S Rayfield; P S Shepherd
Journal:  Clin Exp Immunol       Date:  1991-03       Impact factor: 4.330

9.  Computational immunology meets bioinformatics: the use of prediction tools for molecular binding in the simulation of the immune system.

Authors:  Nicolas Rapin; Ole Lund; Massimo Bernaschi; Filippo Castiglione
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

10.  Characterization of the Streptococcus mutans P1 epitope recognized by immunomodulatory monoclonal antibody 6-11A.

Authors:  Nikki R Rhodin; Jenny M Cutalo; Kenneth B Tomer; William P McArthur; L Jeannine Brady
Journal:  Infect Immun       Date:  2004-08       Impact factor: 3.441

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