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Immunology |
Institut for Cell Biology, Department Immunology [S. P., M. S., A. M., H-G. R., S. Ste.], and Department of Obstetrics and Gynecology, University of Tübingen [B. G., S. Stu., S. K., D. W.], 72076 Tübingen, Germany
Peptides presented by HLA-A*0201 molecules on the surface of the human breast carcinoma cell line KS24.22 after IFN-
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-A1278286 (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-
-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-
-treated KS24.22 cells, but not IFN-
-treated HLA-A*0201+ MAGE-A1- cells or IFN-
-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.
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