Conditional MHC class I ligands and peptide exchange technology for the human MHC gene products HLA-A1, -A3, -A11, and -B7

Major histocompatibility complex (MHC) class I multimer technology has become an indispensable immunological assay system to dissect antigen-specific cytotoxic CD8⁺ T cell responses by flow cytometry. However, the development of high-throughput assay systems, in which T cell responses against a mult...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2008-03, Vol.105 (10), p.3825-3830
Hauptverfasser: Bakker, Arnold H, Hoppes, Rieuwert, Linnemann, Carsten, Toebes, Mireille, Rodenko, Boris, Berkers, Celia R, Hadrup, Sine Reker, van Esch, Wim J.E, Heemskerk, Mirjam H.M, Ovaa, Huib, Schumacher, Ton N.M
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Sprache:eng
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Zusammenfassung:Major histocompatibility complex (MHC) class I multimer technology has become an indispensable immunological assay system to dissect antigen-specific cytotoxic CD8⁺ T cell responses by flow cytometry. However, the development of high-throughput assay systems, in which T cell responses against a multitude of epitopes are analyzed, has been precluded by the fact that for each T cell epitope, a separate in vitro MHC refolding reaction is required. We have recently demonstrated that conditional ligands that disintegrate upon exposure to long-wavelength UV light can be designed for the human MHC molecule HLA-A2. To determine whether this peptide-exchange technology can be developed into a generally applicable approach for high throughput MHC based applications we set out to design conditional ligands for the human MHC gene products HLA-A1, -A3, -A11, and -B7. Here, we describe the development and characterization of conditional ligands for this set of human MHC molecules and apply the peptide-exchange technology to identify melanoma-associated peptides that bind to HLA-A3 with high affinity. The conditional ligand technology developed here will allow high-throughput MHC-based analysis of cytotoxic T cell immunity in the vast majority of Western European individuals.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.0709717105