Literature DB >> 10464171

Functional diversity of natural IgM.

C Brissac1, A Nobrega, J Carneiro, J Stewart.   

Abstract

This paper proposes a method for the quantitative characterization of repertoire diversity of an unknown mixture of antibodies on the basis of its reactivity profile in the quantitative immunoblot (QIB). The QIB is calibrated by measuring the reactivity profiles of supernatants of known 'diversity' (i.e. known numbers of B cell clones). We define a quantitative 'index of variability' (IV) which decreases regularly as the diversity increases and the profiles tend towards a common 'convergence profile'. The calibration procedure is consolidated by a mathematical model based on the Poisson distribution; this theoretical model accounts correctly for the observed convergence behavior. On the basis of this calibration curve, it is possible to estimate the diversity of an unknown antibody mixture from a measure of its IV. We conclude that the functional diversity of natural serum IgM in mice can be estimated at approximately 16,000 clones.

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Year:  1999        PMID: 10464171     DOI: 10.1093/intimm/11.9.1501

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


  3 in total

1.  Long-term persistence of oligoclonal serum IgM repertoires in patients treated with allogeneic bone marrow transplantation (BMT).

Authors:  I N Björk; C Brissac; M Remberger; J Mattsson; S Klaesson; O Ringdén; J Stewart; I Lundkvist
Journal:  Clin Exp Immunol       Date:  2000-01       Impact factor: 4.330

2.  A minimal model of peptide binding predicts ensemble properties of serum antibodies.

Authors:  Victor Greiff; Henning Redestig; Juliane Lück; Nicole Bruni; Atijeh Valai; Susanne Hartmann; Sebastian Rausch; Johannes Schuchhardt; Michal Or-Guil
Journal:  BMC Genomics       Date:  2012-02-21       Impact factor: 3.969

3.  Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice.

Authors:  Victor Greiff; Ulrike Menzel; Ulrike Haessler; Skylar C Cook; Simon Friedensohn; Tarik A Khan; Mark Pogson; Ina Hellmann; Sai T Reddy
Journal:  BMC Immunol       Date:  2014-10-16       Impact factor: 3.615

  3 in total

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