Meta-iPep: A Galaxy-based metaimmunopeptidomics bioinformatics pipeline rigorously characterizes microbial peptide antigens bound to the human leukocyte antigen (HLA) complex

Emerging studies have described the presentation of intratumoral microbial peptides by the human leukocyte antigen (HLA) complex. Mass spectrometry (MS)-based metaproteomics can be used to characterize these “metaimmunopeptides,” bettering our understanding of tumor development and progression. However, the complex tumor microbiome presents numerous bioinformatic challenges. The Meta-iPep pipeline was developed on the Galaxy platform to enable bioinformatic analysis of microbial peptides from immunopeptidomic tandem MS (MS/MS) data, allowing researchers to investigate microorganisms that may contribute to cancer.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15777084
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
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article

Meta-iPep: A Galaxy-based metaimmunopeptidomics bioinformatics pipeline rigorously characterizes microbial peptide antigens bound to the human leukocyte antigen (HLA) complex

Zenodo (CERN European Organization for Nuclear Research)
vaccines and immunoinformatics approaches
article

Meta-iPep: A Galaxy-based metaimmunopeptidomics bioinformatics pipeline rigorously characterizes microbial peptide antigens bound to the human leukocyte antigen (HLA) complex

article en

Abstract

Emerging studies have described the presentation of intratumoral microbial peptides by the human leukocyte antigen (HLA) complex. Mass spectrometry (MS)-based metaproteomics can be used to characterize these “metaimmunopeptides,” bettering our understanding of tumor development and progression. However, the complex tumor microbiome presents numerous bioinformatic challenges. The Meta-iPep pipeline was developed on the Galaxy platform to enable bioinformatic analysis of microbial peptides from immunopeptidomic tandem MS (MS/MS) data, allowing researchers to investigate microorganisms that may contribute to cancer.

Zenodo (CERN European Organization for Nuclear Research)
University of Minnesota (US), Twin Cities Orthopedics (US)
Openalex Percentile: Top 60%
vaccines and immunoinformatics approaches
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