Leon Bichmann, Ana Marcu, Daniel Johannes Kowalewski, Lena Katharina Freudenmann, Linus Backert, Lena Mühlenbruch, Maren Lübke, Philipp Wagner, Tobias Engler, Sabine Matovina, Mathias Hauri-Hohl, Roland Martin, Holger Moch, Luca Regli, Michael Weller, Markus W Löffler, Juliane S Walz, Oliver Kohlbacher, Hannes Röst, Hans-Georg Rammensee, Marian C Neidert
{"title":"HLA配体图谱DIA:通过数据独立获取质谱法,以更高的灵敏度扩展良性免疫肽组学资源。","authors":"Leon Bichmann, Ana Marcu, Daniel Johannes Kowalewski, Lena Katharina Freudenmann, Linus Backert, Lena Mühlenbruch, Maren Lübke, Philipp Wagner, Tobias Engler, Sabine Matovina, Mathias Hauri-Hohl, Roland Martin, Holger Moch, Luca Regli, Michael Weller, Markus W Löffler, Juliane S Walz, Oliver Kohlbacher, Hannes Röst, Hans-Georg Rammensee, Marian C Neidert","doi":"10.1136/jitc-2025-012083","DOIUrl":null,"url":null,"abstract":"<p><p>The human leukocyte antigen (HLA)-presented peptide repertoire, termed immunopeptidome, plays a crucial role for T-cell mediated immune reactions. Previously, the human immunopeptidome of non-malignant tissues has been mapped in a large-scale study, the HLA Ligand Atlas, via high-resolution data-dependent acquisition (DDA) mass spectrometry. This publicly available and user-friendly web interface (https://hla-ligand-atlas.org) is frequently used as a benign tissue reference in antigen discovery, especially for immunotherapy of cancer. Here, we extend the HLA Ligand Atlas resource with paired data-independent acquisition (DIA) runs for all tissue-subject combinations. This novel dataset comprises 946 DIA HLA class I and II immunopeptidomic runs from 242 non-malignant human samples across 18 subjects and 29 distinct tissues. Together with the published DDA runs, this extends the range and depth of analyses performed on the HLA Ligand Atlas dataset. In a concise analysis, we showcase advantages of DIA over DDA concerning spectral sampling and sensitivity. These findings are attributed to the increased dynamic range in DIA, enabling the identification of peptide transitions with low signal intensities. Moreover, we demonstrate the superior sensitivity by applying an HLA-A*02:01 allotype-specific spectral library search to identify and quantify HLA-presented peptides. We encourage reanalysis of the provided DDA and DIA data in combination as a reference for future research concerning human immunology.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 8","pages":""},"PeriodicalIF":10.6000,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12406853/pdf/","citationCount":"0","resultStr":"{\"title\":\"HLA Ligand Atlas DIA: extending the benign immunopeptidomics resource with increased sensitivity through data-independent acquisition mass spectrometry.\",\"authors\":\"Leon Bichmann, Ana Marcu, Daniel Johannes Kowalewski, Lena Katharina Freudenmann, Linus Backert, Lena Mühlenbruch, Maren Lübke, Philipp Wagner, Tobias Engler, Sabine Matovina, Mathias Hauri-Hohl, Roland Martin, Holger Moch, Luca Regli, Michael Weller, Markus W Löffler, Juliane S Walz, Oliver Kohlbacher, Hannes Röst, Hans-Georg Rammensee, Marian C Neidert\",\"doi\":\"10.1136/jitc-2025-012083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The human leukocyte antigen (HLA)-presented peptide repertoire, termed immunopeptidome, plays a crucial role for T-cell mediated immune reactions. Previously, the human immunopeptidome of non-malignant tissues has been mapped in a large-scale study, the HLA Ligand Atlas, via high-resolution data-dependent acquisition (DDA) mass spectrometry. This publicly available and user-friendly web interface (https://hla-ligand-atlas.org) is frequently used as a benign tissue reference in antigen discovery, especially for immunotherapy of cancer. Here, we extend the HLA Ligand Atlas resource with paired data-independent acquisition (DIA) runs for all tissue-subject combinations. This novel dataset comprises 946 DIA HLA class I and II immunopeptidomic runs from 242 non-malignant human samples across 18 subjects and 29 distinct tissues. Together with the published DDA runs, this extends the range and depth of analyses performed on the HLA Ligand Atlas dataset. In a concise analysis, we showcase advantages of DIA over DDA concerning spectral sampling and sensitivity. These findings are attributed to the increased dynamic range in DIA, enabling the identification of peptide transitions with low signal intensities. Moreover, we demonstrate the superior sensitivity by applying an HLA-A*02:01 allotype-specific spectral library search to identify and quantify HLA-presented peptides. 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HLA Ligand Atlas DIA: extending the benign immunopeptidomics resource with increased sensitivity through data-independent acquisition mass spectrometry.
The human leukocyte antigen (HLA)-presented peptide repertoire, termed immunopeptidome, plays a crucial role for T-cell mediated immune reactions. Previously, the human immunopeptidome of non-malignant tissues has been mapped in a large-scale study, the HLA Ligand Atlas, via high-resolution data-dependent acquisition (DDA) mass spectrometry. This publicly available and user-friendly web interface (https://hla-ligand-atlas.org) is frequently used as a benign tissue reference in antigen discovery, especially for immunotherapy of cancer. Here, we extend the HLA Ligand Atlas resource with paired data-independent acquisition (DIA) runs for all tissue-subject combinations. This novel dataset comprises 946 DIA HLA class I and II immunopeptidomic runs from 242 non-malignant human samples across 18 subjects and 29 distinct tissues. Together with the published DDA runs, this extends the range and depth of analyses performed on the HLA Ligand Atlas dataset. In a concise analysis, we showcase advantages of DIA over DDA concerning spectral sampling and sensitivity. These findings are attributed to the increased dynamic range in DIA, enabling the identification of peptide transitions with low signal intensities. Moreover, we demonstrate the superior sensitivity by applying an HLA-A*02:01 allotype-specific spectral library search to identify and quantify HLA-presented peptides. We encourage reanalysis of the provided DDA and DIA data in combination as a reference for future research concerning human immunology.
期刊介绍:
The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.