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HLA-DO as the Optimizer of Epitope Selection for MHC Class II Antigen Presentation

Overview of attention for article published in PLOS ONE, August 2013
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Title
HLA-DO as the Optimizer of Epitope Selection for MHC Class II Antigen Presentation
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0071228
Pubmed ID
Authors

Yuri O. Poluektov, AeRyon Kim, Isamu Z. Hartman, Scheherazade Sadegh-Nasseri

Abstract

Processing of antigens for presentation to helper T cells by MHC class II involves HLA-DM (DM) and HLA-DO (DO) accessory molecules. A mechanistic understanding of DO in this process has been missing. The leading model on its function proposes that DO inhibits the effects of DM. To directly study DO functions, we designed a recombinant soluble DO and expressed it in insect cells. The kinetics of binding and dissociation of several peptides to HLA-DR1 (DR1) molecules in the presence of DM and DO were measured. We found that DO reduced binding of DR1 to some peptides, and enhanced the binding of some other peptides to DR1. Interestingly, these enhancing and reducing effects were observed in the presence, or absence, of DM. We found that peptides that were negatively affected by DO were DM-sensitive, whereas peptides that were enhanced by DO were DM-resistant. The positive and negative effects of DO could only be measured on binding kinetics as peptide dissociation kinetics were not affected by DO. Using Surface Plasmon Resonance, we demonstrate direct binding of DO to a peptide-receptive, but not a closed conformation of DR1. We propose that DO imposes another layer of control on epitope selection during antigen processing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Sweden 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Ph. D. Student 6 21%
Student > Bachelor 5 17%
Unspecified 1 3%
Other 1 3%
Other 2 7%
Unknown 8 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 31%
Immunology and Microbiology 5 17%
Biochemistry, Genetics and Molecular Biology 4 14%
Medicine and Dentistry 2 7%
Unspecified 1 3%
Other 0 0%
Unknown 8 28%