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Citations to this article

MHC class I–associated peptides derive from selective regions of the human genome
Hillary Pearson, … , Pierre Thibault, Claude Perreault
Hillary Pearson, … , Pierre Thibault, Claude Perreault
Published November 14, 2016
Citation Information: J Clin Invest. 2016;126(12):4690-4701. https://doi.org/10.1172/JCI88590.
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Research Article Genetics Immunology Article has an altmetric score of 17

MHC class I–associated peptides derive from selective regions of the human genome

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Abstract

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.

Authors

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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EC Jappe, J Kringelum, T Trolle, M Nielsen
Immunology 2018
Intron retention is a source of neoepitopes in cancer
AC Smart, CA Margolis, H Pimentel, MX He, D Miao, D Adeegbe, T Fugmann, KK Wong, EM Allen
Nature Biotechnology 2018
Update on Tumor Neoantigens and Their Utility: Why It Is Good to Be Different
CH Lee, R Yelensky, K Jooss, TA Chan
Trends in Immunology 2018
Predicting Antigen Presentation—What Could We Learn From a Million Peptides?
D Gfeller, M Bassani-Sternberg
Frontiers in immunology 2018
Global Identification of Post-Translationally Spliced Peptides with Neo-Fusion
Z Rolfs, SK Solntsev, MR Shortreed, BL Frey, LM Smith
Journal of Proteome Research 2018
Deep learning using tumor HLA peptide mass spectrometry datasets improves neoantigen identification
B Bulik-Sullivan, J Busby, CD Palmer, MJ Davis, T Murphy, A Clark, M Busby, F Duke, A Yang, L Young, NC Ojo, K Caldwell, J Abhyankar, T Boucher, MG Hart, V Makarov, VT Montpreville, O Mercier, TA Chan, G Scagliotti, P Bironzo, S Novello, N Karachaliou, R Rosell, I Anderson, N Gabrail, J Hrom, C Limvarapuss, K Choquette, A Spira, R Rousseau, C Voong, NA Rizvi, E Fadel, M Frattini, K Jooss, M Skoberne, J Francis, R Yelensky
Nature Biotechnology 2018
Specific MHC-I Peptides Are Induced Using PROTACs
SM Jensen, GK Potts, DB Ready, MJ Patterson
Frontiers in immunology 2018
Estimating the Contribution of Proteasomal Spliced Peptides to the HLA-I Ligandome*
R Mylonas, I Beer, C Iseli, C Chong, HS Pak, D Gfeller, G Coukos, I Xenarios, M Müller, M Bassani-Sternberg
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

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