The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Predicting Antigen Presentation—What Could We Learn From a Million Peptides?
Open accessAbstract
Antigen presentation lies at the heart of immune recognition of infected or malignant cells. For this reason, important efforts have been made to predict which peptides are more likely to bind and be presented by the human leukocyte antigen (HLA) complex at the surface of cells. These predictions have become even more important with the advent of next-generation sequencing technologies that enable researchers and clinicians to rapidly determine the sequences of pathogens (and their multiple variants) or identify non-synonymous genetic alterations in cancer cells. Here, we review recent advances in predicting HLA binding and antigen presentation in human cells. We argue that the very large amount of high-quality mass spectrometry data of eluted (mainly self) HLA ligands generated in the last few years provides unprecedented opportunities to improve our ability to predict antigen presentation and learn new properties of HLA molecules, as demonstrated in many recent studies of naturally presented HLA-I ligands. Although major challenges still lie on the road toward the ultimate goal of predicting immunogenicity, these experimental and computational developments will facilitate screening of putative epitopes, which may eventually help decipher the rules governing T cell recognition.
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Cites
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
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“Moreover, several studies demonstrated clinical benefit mediated by the administration of highly enriched populations of neoantigen-reactive CD4+ and CD8+ T cells (34, 40) and by neoantigen-based vaccines (41, 42).”
BackgroundTowards a systems understanding of MHC class I and MHC class II antigen presentation
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T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
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Cited by
Parent, A. V., Faleo, G., Chavez, J., Saxton, M., Berrios, D. I., Kerper, N. R., Tang, Q., & Hebrok, M. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109538 · Cited by 96
Solleder, M., Guillaume, P., Racle, J., Michaux, J., Pak, H.-S., Müller, M., Coukos, G., Bassani-Sternberg, M., & Gfeller, D. (2020) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir119.001641 · Cited by 68
Self-citationChallenges targeting cancer neoantigens in 2021: a systematic literature review
Chen, I., Chen, M. Y., Goedegebuure, S. P., & Gillanders, W. E. (2021) · Expert Review of Vaccines · doi:10.1080/14760584.2021.1935248 · Cited by 39
Gupta, S., Nerli, S., Kutti Kandy, S., Mersky, G. L., & Sgourakis, N. G. (2023) · Nature Communications · doi:10.1038/s41467-023-42163-z · Cited by 26
Unraveling the glycosylated immunopeptidome with HLA-Glyco
Bedran, G., Polasky, D. A., Hsiao, Y., Yu, F., da Veiga Leprevost, F., Alfaro, J. A., Cieslik, M., & Nesvizhskii, A. I. (2023) · Nature Communications · doi:10.1038/s41467-023-39270-2 · Cited by 15
Metadata
- Authors
- Gfeller, D., & Bassani-Sternberg, M.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2018-07-25
- Volume
- 9
- Pages
- 1716-1716
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2884280489
- Cited by
- 170
- References
- 10
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- gold
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