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Unraveling the glycosylated immunopeptidome with HLA-Glyco
Open accessAbstract
Recent interest in targeted therapies has been sparked by the study of MHC-associated peptides (MAPs) that undergo post-translational modifications (PTMs), particularly glycosylation. In this study, we introduce a fast computational workflow that merges the MSFragger-Glyco search algorithm with a false discovery rate control for glycopeptide analysis from mass spectrometry-based immunopeptidome data. By analyzing eight large-scale publicly available studies, we find that glycosylated MAPs are predominantly presented by MHC class II. Here, we present HLA-Glyco, a comprehensive resource containing over 3,400 human leukocyte antigen (HLA) class II N-glycopeptides from 1,049 distinct protein glycosylation sites. This resource provides valuable insights, including high levels of truncated glycans, conserved HLA-binding cores, and differences in glycosylation positional specificity between HLA allele groups. We integrate the workflow within the FragPipe computational platform and provide HLA-Glyco as a free web resource. Overall, our work provides a valuable tool and resource to aid the nascent field of glyco-immunopeptidomics.
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Varki, A. (2017) · Glycobiology · doi:10.1093/glycob/cww086 · Cited by 2,635
MHC-II neoantigens shape tumour immunity and response to immunotherapy
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Metadata
- Authors
- Bedran, G., Polasky, D. A., Hsiao, Y., Yu, F., da Veiga Leprevost, F., Alfaro, J. A., Cieslik, M., & Nesvizhskii, A. I.
- Affiliations
- University of Michigan (US)
- University of Victoria (CA)
- Corresponding author
- Nesvizhskii, Alexey I.
- ORCID
- Venue
- Nature Communications
- Published
- 2023-06-12
- Volume
- 14
- Issue
- 1
- Pages
- 3461-3461
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10258777
- OpenAlex
- W4380361693
- Cited by
- 15
- References
- 2
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 4 · 2023: 2
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (U24-CA210967, U24-CA271037)
- EC | Horizon 2020 Framework Programme (101017453)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- glycopeptide analysis, post-translational modification, glycosylation sites, false discovery rate control, FragPipe
- MeSH terms
- Algorithms, Genes, MHC Class II, Glycopeptides, Glycosylation, Humans, Protein Processing, Post-Translational
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