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 |
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| Hlavní autoři: | , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
BioMed Central
22.09.2025
Springer Nature B.V BMC |
| Témata: | |
| ISSN: | 1474-760X, 1474-7596, 1474-760X |
| On-line přístup: | Získat plný text |
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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. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1474-760X 1474-7596 1474-760X |
| DOI: | 10.1186/s13059-025-03763-8 |