Year: 2025
Type: article
Abstract: Confident identification of human leukocyte antigen (HLA)-presented peptides is crucial for advancing cancer immunotherapy. We present MHCquant2, a scalable and modular Nextflow pipeline integrated into nf-core as a reproducible, portable, and standardized workflow for immunopeptidomics. This integration allows a community-driven, robust solution for high-throughput analyses across operating systems and cloud infrastructures. MHCquant2 integrates open-source tools including OpenMS, DeepLC, and MS2PIP, improving peptide identifications by up to 27% across diverse MS platforms, particularly enriching low-abundant peptides. MHCquant2 demonstrates state-of-the-art performance on our novel benignMHCquant2 dataset (n = 92) and expands the benign human immunopeptidome by over 160,000 unique naturally presented HLA peptides.
Source: Genome biology
Institutions: Universitätsklinikum Tübingen, Quantitative Biology Center, University of Tübingen, Ghent University, VIB-UGent Center for Medical Biotechnology, German Cancer Research Center, Yale University, Centre National de la Recherche Scientifique, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,490
OpenAlex ID: W4414410454