Evidence map›Paper›PMID 37085710›Full record

ArticleCommunications biology2023

Machine learning reveals limited contribution of trans-only encoded variants to the HLA-DQ immunopeptidome.

Jonas Birkelund Nilsson, Saghar Kaabinejadian, Hooman Yari, Bjoern Peters, Carolina Barra, Loren Gragert, William Hildebrand, Morten Nielsen

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

34 citing papers in PubMed, 45 citations in OpenAlex.

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  17. Pan-Variant SARS-CoV-2 Vaccines Induce Protective Immunity by Targeting Conserved Epitopes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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 at 5 institutions in 2 countries.

Jonas Birkelund Nilsson *Department of Health Technology, Technical University of Denmark, DK-2800, Lyngby, Denmark.ORCID 0000-0002-1322-2644
Saghar Kaabinejadian *Pure MHC, LLC, Oklahoma City, OK, USA.ORCID 0000-0002-8434-8703
Hooman YariDepartment of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.ORCID 0000-0002-8285-7985
Bjoern PetersCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, 92037, California, USA.
Carolina BarraDepartment of Health Technology, Technical University of Denmark, DK-2800, Lyngby, Denmark.ORCID 0000-0002-6836-4906
Loren GragertDepartment of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.ORCID 0000-0002-5945-6518
William HildebrandDepartment of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Morten NielsenDepartment of Health Technology, Technical University of Denmark, DK-2800, Lyngby, Denmark. morni@dtu.dk.ORCID 0000-0001-7885-4311
Technical University of Denmark · DKUniversity of Oklahoma Health Sciences Center · USLa Jolla Institute for Immunology · USPure Protein (United States) · USTulane University · US

Funding

IMMUNE EPITOPE AND ANALYSIS PROGRAM: Transplantation of organs, tissues and cells 75N93019C00001 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI WILSON, STEPHEN · 2019 to 2025
$23.1M
NIAID NIH HHS 75N93019C00001
6 · The paper itself

Abstract

Human leukocyte antigen (HLA) class II antigen presentation is key for controlling and triggering T cell immune responses. HLA-DQ molecules, which are believed to play a major role in autoimmune diseases, are heterodimers that can be formed as both cis and trans variants depending on whether the α- and β-chains are encoded on the same (cis) or opposite (trans) chromosomes. So far, limited progress has been made for predicting HLA-DQ antigen presentation. In addition, the contribution of trans-only variants (i.e. variants not observed in the population as cis) in shaping the HLA-DQ immunopeptidome remains largely unresolved. Here, we seek to address these issues by integrating state-of-the-art immunoinformatics data mining models with large volumes of high-quality HLA-DQ specific mass spectrometry immunopeptidomics data. The analysis demonstrates highly improved predictive power and molecular coverage for models trained including these novel HLA-DQ data. More importantly, investigating the role of trans-only HLA-DQ variants reveals a limited to no contribution to the overall HLA-DQ immunopeptidome. In conclusion, this study furthers our understanding of HLA-DQ specificities and casts light on the relative role of cis versus trans-only HLA-DQ variants in the HLA class II antigen presentation space. The developed method, NetMHCIIpan-4.2, is available at https://services.healthtech.dtu.dk/services/NetMHCIIpan-4.2 .

Indexed as

Autoimmune DiseasesHLA-DQ AntigensHLA AntigensHumansMachine LearningT-LymphocytesHLA AntigensHLA-DQ Antigens

Identifiers

PMID37085710
PMCPMC10121683
OpenAlexW4366742782

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.