MHC class I–associated peptides (MAPs) define the immune self for CD8+ T lymphocytes and are key targets of cancer immunosurveillance. Here, the goals of our work were to determine whether the entire set of protein-coding genes could generate MAPs and whether specific features influence the ability of discrete genes to generate MAPs. Using proteogenomics, we have identified 25,270 MAPs isolated from the B lymphocytes of 18 individuals who collectively expressed 27 high-frequency HLA-A,B allotypes. The entire MAP repertoire presented by these 27 allotypes covered only 10% of the exomic sequences expressed in B lymphocytes. Indeed, 41% of expressed protein-coding genes generated no MAPs, while 59% of genes generated up to 64 MAPs, often derived from adjacent regions and presented by different allotypes. We next identified several features of transcripts and proteins associated with efficient MAP production. From these data, we built a logistic regression model that predicts with good accuracy whether a gene generates MAPs. Our results show preferential selection of MAPs from a limited repertoire of proteins with distinctive features. The notion that the MHC class I immunopeptidome presents only a small fraction of the protein-coding genome for monitoring by the immune system has profound implications in autoimmunity and cancer immunology.
Hillary Pearson, Tariq Daouda, Diana Paola Granados, Chantal Durette, Eric Bonneil, Mathieu Courcelles, Anja Rodenbrock, Jean-Philippe Laverdure, Caroline Côté, Sylvie Mader, Sébastien Lemieux, Pierre Thibault, Claude Perreault
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Molecular & cellular proteomics : MCP | 2018 |
Mapping the HLA Ligandome of Colorectal Cancer Reveals an Imprint of Malignant Cell Transformation
MW Löffler, DJ Kowalewski, L Backert, J Bernhardt, P Adam, H Schuster, F Dengler, D Backes, HG Kopp, S Beckert, S Wagner, I Königsrainer, O Kohlbacher, L Kanz, A Königsrainer, HG Rammensee, S Stevanović, SP Haen |
Cancer research | 2018 |
Mapping the MHC Class I–Spliced Immunopeptidome of Cancer Cells
Liepe J, Sidney J, Lorenz FK, Sette A, Mishto M |
Cancer immunology research | 2018 |
Informatics for cancer immunotherapy
J Hammerbacher, A Snyder |
Annals of Oncology | 2017 |
Exploiting non-canonical translation to identify new targets for T cell-based cancer immunotherapy
CM Laumont, C Perreault |
Cellular and Molecular Life Sciences | 2017 |
Tools to define the melanoma-associated immunopeptidome
E Bräunlein, AM Krackhardt |
Immunology | 2017 |
NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data
V Jurtz, S Paul, M Andreatta, P Marcatili, B Peters, M Nielsen |
Journal of immunology (Baltimore, Md. : 1950) | 2017 |
Novel insights into the HLA class I immunopeptidome and T-cell immunosurveillance
CJ Melief, JH Kessler |
Genome Medicine | 2017 |
‘Hotspots’ of Antigen Presentation Revealed by Human Leukocyte Antigen Ligandomics for Neoantigen Prioritization
M Müller, D Gfeller, G Coukos, M Bassani-Sternberg |
Frontiers in immunology | 2017 |
High-throughput and Sensitive Immunopeptidomics Platform Reveals Profound Interferonγ-Mediated Remodeling of the Human Leukocyte Antigen (HLA) Ligandome
C Chong, F Marino, HS Pak, J Racle, RT Daniel, M Müller, D Gfeller, G Coukos, M Bassani-Sternberg |
Molecular & cellular proteomics : MCP | 2017 |
Introduction: MHC/KIR and governance of specificity
A Kelly, J Trowsdale |
Immunogenetics | 2017 |
The SysteMHC Atlas project
W Shao, PG Pedrioli, W Wolski, C Scurtescu, E Schmid, JA Vizcaíno, M Courcelles, H Schuster, D Kowalewski, F Marino, CS Arlehamn, K Vaughan, B Peters, A Sette, TH Ottenhoff, KE Meijgaarden, N Nieuwenhuizen, SH Kaufmann, R Schlapbach, JC Castle, AI Nesvizhskii, M Nielsen, EW Deutsch, DS Campbell, RL Moritz, RA Zubarev, AJ Ytterberg, AW Purcell, M Marcilla, A Paradela, Q Wang, CE Costello, N Ternette, PA van Veelen, CA van Els, AJ Heck, GA de Souza, LM Sollid, A Admon, S Stevanovic, HG Rammensee, P Thibault, C Perreault, M Bassani-Sternberg, R Aebersold, E Caron |
Nucleic Acids Research | 2017 |
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
M Bassani-Sternberg, C Chong, P Guillaume, M Solleder, HS Pak, PO Gannon, LE Kandalaft, G Coukos, D Gfeller, T Hertz |
PLoS computational biology | 2017 |
I’ve got algorithm: predicting tumor and autoimmune peptide targets for CD8+ T cells
Jonathan Yewdell, Devin Dersh |
Journal of Clinical Investigation | 2016 |