ArticleMolecular & cellular proteomics : MCP2021
Immunopeptidogenomics: Harnessing RNA-Seq to Illuminate the Dark Immunopeptidome.
Article in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Review
- iPepGen: a modular, immunopeptidogenomic analysis pipeline for discovery, verification, and prioritization of cancer peptide neoantigen candidates.Genome biology · 2026Article
- Hypoxic stress granules trigger immunogenic dormancy in lung cancer.bioRxiv : the preprint server for biology · 2026Article
- TRPA1-Activated Peptides from Saiga Antelope Horn: Screening, Interaction Mechanism, and Bioactivity.International journal of molecular sciences · 2025Article
- Immunogenic cryptic peptides dominate the antigenic landscape of ovarian cancer.Science advances · 2025Article
- Unlocking the secrets of the immunopeptidome: MHC molecules, ncRNA peptides, and vesicles in immune response.Frontiers in immunology · 2025Review
- Immunopeptidomics in the cancer immunotherapy era.Exploration of targeted anti-tumor therapy · 2024Review
- A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics.Cell reports methods · 2023Article
- Exploring the Immunogenicity of Noncanonical HLA-I Tumor Ligands Identified through Proteogenomics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
- iBench: A ground truth approach for advanced validation of mass spectrometry identification method.Proteomics · 2023Article
- Immunopeptidomics: Reading the Immune Signal That Defines Self From Nonself.Molecular & cellular proteomics : MCP · 2022Article
- Exploring the dynamic landscape of immunopeptidomics: Unravelling posttranslational modifications and navigating bioinformatics terrain.Mass spectrometry reviewsReview
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human leukocyte antigen (HLA) molecules are cell-surface glycoproteins that present peptide antigens on the cell surface for surveillance by T lymphocytes, which contemporaneously seek signs of disease. Mass spectrometric analysis allows us to identify large numbers of these peptides (the immunopeptidome) following affinity purification of solubilized HLA-peptide complexes. However, in recent years, there has been a growing awareness of the "dark side" of the immunopeptidome: unconventional peptide epitopes, including neoepitopes, which elude detection by conventional search methods because their sequences are not present in reference protein databases (DBs). Here, we establish a bioinformatics workflow to aid identification of peptides generated by noncanonical translation of mRNA or by genome variants. The workflow incorporates both standard transcriptomics software and novel computer programs to produce cell line-specific protein DBs based on three-frame translation of the transcriptome. The final protein DB also includes sequences resulting from variants determined by variant calling on the same RNA-Seq data. We then searched our experimental data against both transcriptome-based and standard DBs using PEAKS Studio (Bioinformatics Solutions, Inc). Finally, further novel software helps to compare the various result sets arising for each sample, pinpoint putative genomic origins for unconventional sequences, and highlight potential neoepitopes. We applied the workflow to study the immunopeptidome of the acute myeloid leukemia cell line THP-1, using RNA-Seq and immunopeptidome data. We confidently identified over 14,000 peptides from three replicates of purified HLA peptides derived from THP-1 cells using the conventional UniProt human proteome. Using the transcriptome-based DB generated using our workflow, we recapitulated >85% of these and also identified 1029 unconventional peptides not explained by UniProt, including 16 sequences caused by nonsynonymous variants. Our workflow, which we term "immunopeptidogenomics," can provide DBs, which include pertinent unconventional sequences and allow neoepitope discovery, without becoming too large to search. Immunopeptidogenomics is a step toward unbiased search approaches that are needed to illuminate the dark side of the immunopeptidome.
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