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Christian Radauer
Christian Radauer, PhD

Center for Pathophysiology, Infectiology and Immunology (Institute of Pathophysiology and Allergy Research)
Position: Associate Professor

ORCID: 0000-0001-9920-4449
T +43 1 40400 51030
christian.radauer@muv.ac.at

Further Information

Keywords

Allergens; Allergy and Immunology; Biochemistry; Pollen Allergy

Research group(s)

  • Biochemistry and Bioinformatics
    Head: Christian Radauer
    Research Area: Gaining a deeper understanding of the molecular basis and the clinical relevance of the allergen-specific humoral immune response as well as elucidating molecular properties of allergenic proteins that contribute to their allergenicity.
    Members:

Research interests

Many forms of inhalant allergy are associated with food allergy due to cross-reactivity between inhalant allergens and homologous food allergens. However, IgE cross-reactivity does not always translate into clinically overt food allergy. Our research focuses on the characterization of these allergens and the cross-reactive epitopes for IgE and other isotypes. Our aim is to elucidate factors that determine the clinical outcome of cross-sensitization.

The second focus of our research is related to the question which properties determine the allergenicity of a protein. By using bioinformatics analyses, we classify allergens, non-allergenic homologues and whole proteome sequences by sequence-related and structural properties with the aim of discriminating allergens from non-allergenic proteins and improve the currently insufficient methods of allergenicity prediction. An outcome of this work has been the AllFam database of allergen families, which is freely accessible on the internet at http://www.meduniwien.ac.at/allfam/

Techniques, methods & infrastructure

In addition to standard methods in molecular biology, protein chemistry and immunochemistry, we use phage libraries to - among others - select allergen-specific recombinant antibodies. Moreover, a focus of the Biochemistry and Bioinformatics group is the application of bioinformatics methods, such as functional and evolutionary classification of proteins or homology modelling and structure comparison, on the study of allergenic proteins.

Selected publications

  1. Schmalz, S. et al. (2022) ‘Isotype-specific binding patterns of serum antibodies to multiple conformational epitopes of Bet v 1’, Journal of Allergy and Clinical Immunology, 149(5), pp. 1786-1794.e12. Available at: http://dx.doi.org/10.1016/j.jaci.2021.10.026.
  2. Tscheppe, A. et al. (2020) ‘Development of a novel Ara h 2 hypoallergen with no IgE binding or anaphylactogenic activity’, Journal of Allergy and Clinical Immunology, 145(1), pp. 229–238. Available at: http://dx.doi.org/10.1016/j.jaci.2019.08.036.
  3. Guhsl, E.E. et al. (2014) ‘IgE, IgG4 and IgA specific to Bet v 1‐related food allergens do not predict oral allergy syndrome’, Allergy, 70(1), pp. 59–66. Available at: http://dx.doi.org/10.1111/all.12534.
  4. Gepp, B. et al. (2014) ‘Chimeras of Bet v 1 and Api g 1 reveal heterogeneous IgE responses in patients with birch pollen allergy’, Journal of Allergy and Clinical Immunology, 134(1), pp. 188–194. Available at: http://dx.doi.org/10.1016/j.jaci.2013.12.1073.
  5. Radauer, C. et al., 2008. Allergens are distributed into few protein families and possess a restricted number of biochemical functions. Journal of Allergy and Clinical Immunology, 121(4), pp.847-852.e7. Available at: http://dx.doi.org/10.1016/j.jaci.2008.01.025.