Evidence map›Paper›PMID 40996974›Full record

ArticlePloS one2025

Framework for analyzing MAE-derived immunopeptidomes from cell lines with shared HLA haplotypes.

Queenie W T Chan, Teesha C Baker, Chia-Wei Kuan, Lucy Song, Hongbing Yu, Leonard J Foster

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Queenie W T ChanDepartment of Biochemistry & Molecular Biology, Michael Smith Laboratories, and Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Teesha C BakerDepartment of Pediatrics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-7713-4283
Chia-Wei KuanAgilent Technologies, Santa Clara, California, United States of America.
Lucy SongDepartment of Biochemistry & Molecular Biology, Michael Smith Laboratories, and Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Hongbing YuDepartment of Microbiology, Molecular Genetics, and Immunology, University of Kansas Medical Center, Kansas City, Kansas, United States of America‌.ORCID https://orcid.org/0000-0002-3351-322X
Leonard J FosterDepartment of Biochemistry & Molecular Biology, Michael Smith Laboratories, and Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-8551-4817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe goal in vaccinology is to identify candidate antigens for clinical trials that will elicit an immune response for a significant portion of the target population. Unfortunately, promising data generated at the preclinical level often cannot be replicated in larger sample sizes. The goal of this project was to develop a methodology for processing MAE-generated data to identify MHC epitopes, minimize non-specific contaminants, find binding motifs, and utilize genetic connections among donors to determine which peptides were presented by specific MHC alleles.

resultsOur approach demonstrated that mild acid elution of peptides from seven consanguineous B-lymphocyte lines accurately reflects the HLA genotypes within family members, highlighting the specificity of MAE. Additionally, the data successfully reproduced known MHC binding motifs and partially deconvoluted the originating HLA alleles of the epitopes.

conclusionsThese findings suggest that our approach could be applied to numerous cell lines globally to evaluate a wide array of HLA haplotypes. This may help to reveal candidate vaccine antigens that induce immune protection for a wider population.

Indexed as

EpitopesHaplotypesHLA AntigensPeptidesAllelesB-LymphocytesCell LineHumansEpitopesHLA AntigensPeptides

Identifiers

PMID40996974
PMCPMC12463239

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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.