Evidence map›Paper›PMID 37308510›Full record

ArticleNature communications2023

Unraveling the glycosylated immunopeptidome with HLA-Glyco.

Georges Bedran, Daniel A Polasky, Yi Hsiao, Fengchao Yu, Felipe da Veiga Leprevost, Javier A Alfaro, Marcin Cieslik, Alexey I Nesvizhskii

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Quantitative proteome-wide O-glycoproteomics analysis with FragPipe.Analytical and bioanalytical chemistry · 2025
    Article
  9. Article
  10. Article
  11. Immunopeptidomics in the cancer immunotherapy era.Exploration of targeted anti-tumor therapy · 2024
    Review
  12. ProfoundFrontiers in immunology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Georges Bedran *International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland.ORCID 0000-0002-3086-3742
Daniel A Polasky *Department of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-0515-1735
Yi HsiaoDepartment of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA.ORCID 0000-0002-9435-0305
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7695-3698
Felipe da Veiga LeprevostDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-8228-5374
Javier A AlfaroInternational Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland.ORCID 0000-0002-5553-6991
Marcin CieslikDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA. nesvi@med.umich.edu.ORCID 0000-0002-2806-7819

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
NCI NIH HHS U24 CA210967NCI NIH HHS U24 CA271037NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

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.

Indexed as

AlgorithmsProtein Processing, Post-TranslationalGenes, MHC Class IIGlycopeptidesGlycosylationHumansGlycopeptides

Identifiers

PMID37308510
PMCPMC10258777

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.