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Peptide binding characteristics of the non-classical class Ib MHC molecule HLA-E assessed by a recombinant random peptide approach

Overview of attention for article published in BMC Immunology, June 2001
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Title
Peptide binding characteristics of the non-classical class Ib MHC molecule HLA-E assessed by a recombinant random peptide approach
Published in
BMC Immunology, June 2001
DOI 10.1186/1471-2172-2-5
Pubmed ID
Authors

James Stevens, Etienne Joly, John Trowsdale, Geoffrey W Butcher

Abstract

Increasing evidence suggests that the effect of HLA-E on Natural Killer (NK) cell activity can be affected by the nature of the peptides bound to this non-classical, MHC class Ib molecule. However, its reduced cell surface expression, and until recently, the lack of specific monoclonal antibodies hinder studying the peptide-binding specificity HLA-E. An in vitro refolding system was used to assess binding of recombinant HLA-E to either specific peptides or a nonamer random peptide library. Peptides eluted from HLA-E molecules refolded around the nonamer library were then used to determine a binding motif for HLA-E. Hydrophobic and non-charged amino acids were found to predominate along the peptide motif, with a leucine anchor at P9, but surprisingly there was no methionine preference at P2, as suggested by previous studies. Compared to the results obtained with rat classical class Ia MHC molecules, RT1-A1c and RT1-Au, HLA-E appears to refold around a random peptide library to reduced but detectable levels, suggesting that this molecule's specificity is tight but probably not as exquisite as has been previously suggested. This, and a previous report that it can associate with synthetic peptides carrying a viral sequence, suggests that HLA-E, similar to its mouse counterpart (Qa-1b), could possibly bind peptides different from MHC class I leader peptides and present them to T lymphocytes.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 3 15%
Professor 3 15%
Student > Postgraduate 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Biochemistry, Genetics and Molecular Biology 4 20%
Medicine and Dentistry 4 20%
Immunology and Microbiology 4 20%
Arts and Humanities 1 5%
Other 0 0%
Unknown 3 15%