A MAGE-A1 HLA-A A*0201 epitope identified by mass spectrometry |
| |
Authors: | Pascolo S Schirle M Gückel B Dumrese T Stumm S Kayser S Moris A Wallwiener D Rammensee H G Stevanovic S |
| |
Affiliation: | Institut for Cell Biology, Department Immunology, University of Tübingen, Auf der Morgenstelle 15, 72076 Tübingen, Germany. steve.pascolo@uni-tuebingen.de |
| |
Abstract: | Peptides presented by HLA-A*0201 molecules on the surface of the human breast carcinoma cell line KS24.22 after IFN-gamma induction were analyzed by the "Predict-Calibrate-Detect" approach, which combines epitope prediction and high-performance liquid chromatography mass spectrometry. One of the predicted epitopes, MAGE-A1(278-286) (KVLEYVIKV), was found to be presented by HLA-A*0201, with an estimated copy number of 18 molecules/cell. HLA-A*0201 transgenic mice (HHD mice) were used to generate CTL lines that stained positive with an HLA-A*0201 tetramer folded around the KVLEYVIKV peptide and killed peptide-loaded mouse target cells expressing HLA-A*0201. IFN-gamma-treated or -nontreated HLA-A*0201 expressing HeLa cells transiently transfected with a plasmid expressing the MAGE-A1 gene stimulated in vitro cytokine production by the CTL lines. Moreover, IFN-gamma-treated KS24.22 cells, but not IFN-gamma-treated HLA-A*0201(+) MAGE-A1(-) cells or IFN-gamma-treated HLA-A*0201(-) MAGE-A1(+) cells, were killed by these CTLS: Thus, the combination of HLA epitope prediction, peptide analysis, and immunological methods is a powerful approach for the identification of tumor-associated epitopes. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|