MHCquant2 refines immunopeptidomics tumor antigen discovery

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 integr...

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Vydáno v:Genome Biology Ročník 26; číslo 1; s. 290 - 17
Hlavní autoři: Scheid, Jonas, Lemke, Steffen, Hoenisch-Gravel, Naomi, Dengler, Anna, Sachsenberg, Timo, Declerq, Arthur, Gabriels, Ralf, Bauer, Jens, Wacker, Marcel, Bichmann, Leon, Martens, Lennart, Dubbelaar, Marissa L., Nahnsen, Sven, Walz, Juliane S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 22.09.2025
Springer Nature B.V
BMC
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ISSN:1474-760X, 1474-7596, 1474-760X
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Shrnutí: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 MS 2 PIP, 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 benign MHCquant2 dataset ( n  = 92) and expands the benign human immunopeptidome by over 160,000 unique naturally presented HLA peptides.
Bibliografie:ObjectType-Article-1
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ISSN:1474-760X
1474-7596
1474-760X
DOI:10.1186/s13059-025-03763-8