PepQueryMHC: rapid and comprehensive tumor antigen prioritization from immunopeptidomics data

Determining tumor-specificity of MHC-bound peptides is crucial for cancer immunotherapy development, yet current methods struggle with class II peptides and non-reference sequences. We introduce PepQueryMHC, an ultra-fast tool that integrates MHC-bound peptide sequences with translated RNA-seq reads for efficient tumor antigen prioritization. We demonstrate its versatility in prioritizing class I and II tumor antigens, mapping the cellular origins of presented peptides, and resolving uncertainties surrounding the prevalence of proteasome-spliced peptides.

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Publication Details

Journal
Genome biology
Published
2025-12-23
DOI
https://doi.org/10.1186/s13059-025-03923-w
Citations
1
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.81

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article

PepQueryMHC: rapid and comprehensive tumor antigen prioritization from immunopeptidomics data

B Zhang, Seunghyuk Choi
1 citations
Genome biology
vaccines and immunoinformatics approaches
0.81
article

PepQueryMHC: rapid and comprehensive tumor antigen prioritization from immunopeptidomics data

B Zhang, Seunghyuk Choi
article en
1 citations

Abstract

Determining tumor-specificity of MHC-bound peptides is crucial for cancer immunotherapy development, yet current methods struggle with class II peptides and non-reference sequences. We introduce PepQueryMHC, an ultra-fast tool that integrates MHC-bound peptide sequences with translated RNA-seq reads for efficient tumor antigen prioritization. We demonstrate its versatility in prioritizing class I and II tumor antigens, mapping the cellular origins of presented peptides, and resolving uncertainties surrounding the prevalence of proteasome-spliced peptides.

Genome biologyVol. 26(1)
Kookmin University (KR), Baylor College of Medicine (US)
Cancer Prevention and Research Institute of Texas, Kookmin University, Ministry of Science and ICT, South Korea, National Institutes of Health, Institute for Information and Communications Technology Promotion, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 20%
vaccines and immunoinformatics approaches
0.81
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