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.
Authors
- B Zhang
- Seunghyuk Choi
Institutions
- Kookmin University (KR)
- Baylor College of Medicine (US)
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
Funders
- 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