Literature DB >> 27906504

Combination of two epitope identification techniques enables the rational design of soy allergen Gly m 4 mutants.

Heide Havenith1, Karolin Kern2, Paul Rautenberger2, Holger Spiegel1, Michael Szardenings2, Elke Ueberham2, Jörg Lehmann2, Matthias Buntru1, Simon Vogel1, Regina Treudler3, Rainer Fischer1,4, Stefan Schillberg1,5.   

Abstract

Detailed IgE-binding epitope analysis is a key requirement for the understanding and development of diagnostic and therapeutic agents to address food allergies. An IgE-specific linear peptide microarray with random phage peptide display for the high-resolution mapping of IgE-binding epitopes of the major soybean allergen Gly m 4, which is a homologue to the birch pollen allergen Bet v 1 is combined. Three epitopes are identified and mapped to a resolution of four key amino acids, allowing the rational design and the production of three Gly m 4 mutants with the aim to abolish or reduce the binding of epitope-specific IgE. In ELISA, the binding of the mutant allergens to polyclonal rabbit-anti Gly m 4 serum as well as IgE purified from Gly m 4-reactive soybean allergy patient sera is reduced by up to 63% compared to the wild-type allergen. Basophil stimulation experiments using RBL-SX38 cells loaded with patient IgE are showed a decreased stimulation from 25% for the wild-type Gly m 4 to 13% for one mutant. The presented approach demonstrates the feasibility of precise mapping of allergy-related IgE-binding epitopes, allowing the rational design of less allergenic mutants as potential therapeutic agents.
Copyright © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Bet v 1 homolog; Epitope mapping; Peptide microarray; Phage display; Soy allergy

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Substances:

Year:  2017        PMID: 27906504     DOI: 10.1002/biot.201600441

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  1 in total

1.  Plant-Derived Cell-Free Biofactories for the Production of Secondary Metabolites.

Authors:  Matthias Buntru; Nils Hahnengress; Alexander Croon; Stefan Schillberg
Journal:  Front Plant Sci       Date:  2022-01-28       Impact factor: 6.627

  1 in total

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