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Published in: Inflammation Research 3/2018

Open Access 01-03-2018 | Original Research Paper

Mapping of the binding sites of human diamine oxidase (DAO) monoclonal antibodies

Authors: Hubert G. Schwelberger, Johannes Feurle, Gunnar Houen

Published in: Inflammation Research | Issue 3/2018

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Abstract

Objective

Recently we characterized five mouse monoclonal antibodies that allow the specific and sensitive detection of human diamine oxidase (DAO). To understand differences in binding characteristics and recognition of enzyme variants, we mapped the antibody binding sites.

Methods

Fragments of human DAO were expressed as glutathione-S-transferase fusion proteins that were used for testing antibody binding on immunoblots. Combined information from species cross-reactivity, sequence comparison and binding site-prediction software were used to localize the epitope recognized by each antibody.

Results

All five monoclonal DAO antibodies bound to linear epitopes between the N3 and enzymatic domains of the 732 amino acid protein. The binding sites could be mapped onto amino acid regions V262-E278 and P279-R288, respectively, which exhibit considerable sequence variation in mammals explaining the fact that the human DAO antibodies do not cross-react with DAO from other species. The antibodies efficiently bind only denatured human DAO but not the native protein.

Conclusions

Characterization of the binding sites of the DAO antibodies revealed that the antibodies bind two adjacent epitopes and exhibit similar binding characteristics and species cross-reactivity. As the epitopes do not overlap any of the amino acid substitutions described for clinically significant DAO gene polymorphisms, our antibodies will also be useful for analyses of the mutant DAO proteins.
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Metadata
Title
Mapping of the binding sites of human diamine oxidase (DAO) monoclonal antibodies
Authors
Hubert G. Schwelberger
Johannes Feurle
Gunnar Houen
Publication date
01-03-2018
Publisher
Springer International Publishing
Published in
Inflammation Research / Issue 3/2018
Print ISSN: 1023-3830
Electronic ISSN: 1420-908X
DOI
https://doi.org/10.1007/s00011-017-1118-3

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