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Journal article

Thermostability profiling of MHC-bound peptides: a new dimension in immunopeptidomics and aid for immunotherapy design

From

Department of Health Technology, Technical University of Denmark1

Immunoinformatics and Machine Learning, Bioinformatics, Department of Health Technology, Technical University of Denmark2

Evaxion Biotech A/S3

Monash University4

The features of peptide antigens that contribute to their immunogenicity are not well understood. Although the stability of peptide-MHC (pMHC) is known to be important, current assays assess this interaction only for peptides in isolation and not in the context of natural antigen processing and presentation.

Here, we present a method that provides a comprehensive and unbiased measure of pMHC stability for thousands of individual ligands detected simultaneously by mass spectrometry (MS). The method allows rapid assessment of intra-allelic and inter-allelic differences in pMHC stability and reveals profiles of stability that are broader than previously appreciated.

The additional dimensionality of the data facilitated the training of a model which improves the prediction of peptide immunogenicity, specifically of cancer neoepitopes. This assay can be applied to any cells bearing MHC or MHC-like molecules, offering insight into not only the endogenous immunopeptidome, but also that of neoepitopes and pathogen-derived sequences.

Language: English
Publisher: Nature Publishing Group UK
Year: 2020
Pages: 6305
ISSN: 20411723
Types: Journal article
DOI: 10.1038/s41467-020-20166-4
ORCIDs: 0000-0002-2787-1282 , 0000-0002-3870-0796 , 0000-0001-8647-2102 , 0000-0002-7415-3283 , 0000-0002-2128-5127 and 0000-0003-0532-8331

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