PLoS ONEImmunologyPeer-reviewed journal article
Framework for analyzing MAE-derived immunopeptidomes from cell lines with shared HLA haplotypes
Queenie W. T. Chan, Teesha C. BakeriD, Chia-Wei Kuan, Lucy Song, Hongbing YuiD, Leonard J. FosteriD
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.
- organism: human
- assay: proteomics
- research focus: host-pathogen & immune response
- research focus: cell type annotation
- research focus: clustering
- approach: experimental assay
- Citations
- 1
- FWCI
- 0.30
- Field percentile
- top 49%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- MAETi: Mild acid elution in a tip enables immunopeptidome profiling from 1E4 cells
Julian Beyrle, Yuzuru Yamasaki, … Stefan Tenzer·bioRxiv·Dec 20, 2024
- NNAlign_MA; MHC peptidome deconvolution for accurate MHC binding motif characterization and improved T cell epitope predictions
Bruno Alvarez, Birkir Reynisson, … Morten Nielsen·Molecular & Cellular ProteomicsPeer-reviewed·Oct 2, 2019
- Computational Tools for the Identification and Interpretation of Sequence Motifs in Immunopeptidomes
Bruno Alvarez, Carolina Barra, … Massimo Andreatta·PROTEOMICSPeer-reviewed·Jan 12, 2018
- A Globally Representative Immunopeptidomics Approach to Identify Population-Wide Vaccine Candidates
Teesha C. Baker, Lucy Song, … Leonard J. Foster·bioRxiv·Nov 25, 2025
- Validation of a high-performance liquid chromatography-tandem mass spectrometry immunopeptidomics assay for the identification of HLA class I ligands suitable for pharmaceutical therapies
M. Ghosh, M. Gauger, … S. Stevanovic·bioRxiv·Oct 29, 2019
- Unsupervised mining of HLA-I peptidomes reveals new binding motifs and substantial false positives in community database
C. Sricharoensuk, T. Boonchalermvichien, … S. Sriswasdi·bioRxiv·Sep 19, 2021