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Nitration of the Pollen Allergen Bet v 1.0101 Enhances the Presentation of Bet v 1-Derived Peptides by HLA-DR on Human Dendritic Cells

Overview of attention for article published in PLOS ONE, February 2012
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Title
Nitration of the Pollen Allergen Bet v 1.0101 Enhances the Presentation of Bet v 1-Derived Peptides by HLA-DR on Human Dendritic Cells
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031483
Pubmed ID
Authors

Anette C. Karle, Gertie J. Oostingh, Sonja Mutschlechner, Fatima Ferreira, Peter Lackner, Barbara Bohle, Gottfried F. Fischer, Anne B. Vogt, Albert Duschl

Abstract

Nitration of pollen derived allergens can occur by NO(2) and ozone in polluted air and it has already been shown that nitrated major birch (Betula verrucosa) pollen allergen Bet v 1.0101 (Bet v 1) exhibits an increased potency to trigger an immune response. However, the mechanisms by which nitration might contribute to the induction of allergy are still unknown. In this study, we assessed the effect of chemically induced nitration of Bet v 1 on the generation of HLA-DR associated peptides. Human dendritic cells were loaded with unmodified Bet v 1 or nitrated Bet v 1, and the naturally processed HLA-DR associated peptides were subsequently identified by liquid chromatography-mass spectrometry. Nitration of Bet v 1 resulted in enhanced presentation of allergen-derived HLA-DR-associated peptides. Both the copy number of Bet v 1 derived peptides as well as the number of nested clusters was increased. Our study shows that nitration of Bet v 1 alters antigen processing and presentation via HLA-DR, by enhancing both the quality and the quantity of the Bet v 1-specific peptide repertoire. These findings indicate that air pollution can contribute to allergic diseases and might also shed light on the analogous events concerning the nitration of self-proteins.

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Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 11 19%
Student > Master 7 12%
Student > Bachelor 6 10%
Other 4 7%
Other 8 14%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 22%
Immunology and Microbiology 9 16%
Chemistry 7 12%
Medicine and Dentistry 6 10%
Biochemistry, Genetics and Molecular Biology 5 9%
Other 7 12%
Unknown 11 19%