Uncovering the modified immunopeptidome reveals insights into principles of PTM-driven antigenicity
Kacen, A.; Javitt, A.; Kramer, M. P.; Morgenstern, D.; Tsaban, T.; Solomon, A.; Teo, G. C.; da Veiga Leprevost, F.; Barnea, E.; Yu, F.; Admon, A.; Eisenbach, L.; Cafri, G.; Schueler-Furman, O.; Levin, Y.; Nesvizhskii, A. I.; Merbl, Y.
Show abstract
Antigen processing and presentation are critical for modulating tumor-host interactions. While post-translational modifications (PTMs) can alter the binding and recognition of antigens, their identification remains challenging. Here we uncover the role PTMs may play in antigen presentation and recognition in human cancers by profiling 29 different PTM combinations in immunopeptidomics data from multiple clinical samples and cell lines. We established and validated an antigen discovery pipeline and showed that newly identified modified antigens from a murine cancer model are cancer-specific and can elicit T cell killing. Systematic analysis of PTMs across multiple cohorts defined new haplotype preferences and binding motifs in association with specific PTM types. By expanding the antigenic landscape with modifications, we uncover disease-specific targets, including thousands of novel cancer-specific antigens and reveal insight into PTM-driven antigenicity. Collectively, our findings highlight an immunomodulatory role for modified peptides presented on HLA I, which may have broad implications for T-cell mediated therapies in cancer and beyond. SignificanceMajor efforts are underway to identify cancer-specific antigens for personalized immunotherapy. Here, we enrich the immunopeptidome landscape by uncovering thousands of novel putative antigens that are post-translationally modified. We define unique preferences for PTM-driven alterations affecting HLA binding and TCR recognition, which in turn alter tumor-immune interactions. Conflict of interest statementAuthors declare no conflicts of interest.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multiplexed relative and absolute quantitative immunopeptidomics reveals MHC I repertoire alterations induced by CDK4/6 inhibition 97%
- Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells 97%
- A platform for mapping reactive cysteines within the immunopeptidome 96%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Human thymopoiesis produces polyspecific CD8+ alfa/beta T cells responding to multiple viral antigens 94%
- Patient-derived xenografts and single-cell sequencing identifies three subtypes of tumor-reactive lymphocytes in uveal melanoma metastases 94%
- Identification of a conserved neutralizing epitope present on spike proteins from all highly pathogenic coronaviruses 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.