Gene and protein sequence features augment HLA class I ligand predictions
Cell Reports, vol. 43, pp. 114325
Abstract
The sensitivity of malignant tissues to T cell-based immunotherapies depends on the presence of targetable human leukocyte antigen (HLA) class I ligands. Peptide-intrinsic factors, such as HLA class I affinity and proteasomal processing, have been established as determinants of HLA ligand presentation. However, the role of gene and protein sequence features as determinants of epitope presentation has not been systematically evaluated. We perform HLA ligandome mass spectrometry to evaluate the contribution of 7,135 gene and protein sequence features to HLA sampling. This analysis reveals that a number of predicted modifiers of mRNA and protein abundance and turnover, including predicted mRNA methylation and protein ubiquitination sites, inform on the presence of HLA ligands. Importantly, integration of such "hard-coded" sequence features into a machine learning approach augments HLA ligand predictions to a comparable degree as experimental measures of gene expression. Our study highlights the value of gene and protein features for HLA ligand predictions.
Authors 9
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Leiden University Medical Center · The Netherlands Cancer Institute · Oncode Institute
Affiliation as printed
Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Oncode Institute, Amsterdam, the Netherlands; Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands
Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands
Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Oncode Institute, Amsterdam, the Netherlands
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Sanquin · Oncode Institute · Amsterdam University Medical Centers · University of Amsterdam
Affiliation as printed
Sanquin Blood Supply Foundation, Department of Research, T cell differentiation lab, Amsterdam, The Netherlands; Amsterdam UMC, University of Amsterdam, Landsteiner Laboratory, Amsterdam, The Netherlands; Oncode Institute, Utrecht, The Netherlands
Amsterdam UMC, University of Amsterdam, Landsteiner Laboratory, Amsterdam, The Netherlands
Oncode Institute, Utrecht, The Netherlands
Sanquin Blood Supply Foundation, Department of Research, T cell differentiation lab, Amsterdam, The Netherlands
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Affiliation as printed
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, the Netherlands
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Affiliation as printed
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, the Netherlands
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Affiliation as printed
Translational Control and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
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The Netherlands Cancer Institute · Oncode Institute
Affiliation as printed
Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
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Affiliation as printed
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, the Netherlands
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Sanquin · Oncode Institute · Amsterdam University Medical Centers · University of Amsterdam
Affiliation as printed
Sanquin Blood Supply Foundation, Department of Research, T cell differentiation lab, Amsterdam, The Netherlands; Amsterdam UMC, University of Amsterdam, Landsteiner Laboratory, Amsterdam, The Netherlands; Oncode Institute, Utrecht, The Netherlands
Amsterdam UMC, University of Amsterdam, Landsteiner Laboratory, Amsterdam, The Netherlands
Oncode Institute, Utrecht, The Netherlands
Sanquin Blood Supply Foundation, Department of Research, T cell differentiation lab, Amsterdam, The Netherlands
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Leiden University · Leiden University Medical Center · The Netherlands Cancer Institute · Oncode Institute
Affiliation as printed
Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Oncode Institute, Amsterdam, the Netherlands; Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: t.schumacher@nki.nl
Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands
Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Oncode Institute, Amsterdam, the Netherlands
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