Abstract
The set of peptides processed and presented by MHC class II molecules define the immunopeptidome, and its characterisation holds keys to understanding essential properties of the immune system. High-throughput mass spectrometry techniques enable interrogation of the diversity and complexity of the immunopeptidome at an unprecedented scale. Here, we analysed a large set of MS-immunopeptidomics data from 40 donors, 221 samples, covering 30 unique HLA-DR molecules. We identified likely co-immunoprecipitated HLA-DR irrelevant contaminants using state-of-the-art prediction methods and unveiled novel light on the properties of HLA antigen processing and presentation. The ligandome (HLA binders) was enriched in 15-mer peptides, and the contaminome (non-binders) in longer peptides. Classification of singletons and nested sets showed that the first were enriched in contaminants. Investigating the source protein location of ligands revealed that only contaminants shared a positional bias. Regarding subcellular localisation, nested peptides were found to predominantly be of endo-lysosomal whereas singletons shared an equal distribution between the cytosolic and endo-lysosomal origin. According to antigen processing signatures, no significant differences were observed between the cytosolic and endo-lysosomal ligands. Further, the sensitivity of MS-immunopeptidomics was investigated by analysing overlap and saturation between biological MS-replica, concluding that at least 5 replicas are needed to identify 80% of the immunopeptidome. Moreover, the overlap in immunopeptidome between donors was found to be very low both in terms of peptides and source proteins, the latter indicating a critical HLA bias in the antigen sampling in the HLA antigen presentation. Finally, the complementarity between MS and in-silico approaches for comprehensively sampling the immunopeptidome was demonstrated.
Original language | English |
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Journal | Journal of Leukocyte Biology |
Volume | 115 |
Issue number | 5 |
Pages (from-to) | 913–925 |
ISSN | 0741-5400 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- Antigen Processing
- HLA antigen presentation
- Immunopeptidome
- In silico models
- Mass spectrometry