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HLA配体图谱DIA:通过数据非依赖型采集质谱提高灵敏度,扩展良性免疫肽组学资源。

HLA Ligand Atlas DIA: extending the benign immunopeptidomics resource with increased sensitivity through data-independent acquisition mass spectrometry.

作者信息

Bichmann Leon, Marcu Ana, Kowalewski Daniel Johannes, Freudenmann Lena Katharina, Backert Linus, Mühlenbruch Lena, Lübke Maren, Wagner Philipp, Engler Tobias, Matovina Sabine, Hauri-Hohl Mathias, Martin Roland, Moch Holger, Regli Luca, Weller Michael, Löffler Markus W, Walz Juliane S, Kohlbacher Oliver, Röst Hannes, Rammensee Hans-Georg, Neidert Marian C

机构信息

Center for Systems and Engineering Immunology, Yale University, New Haven, Connecticut, USA

Interfaculty Institute for Cell Biology and Immunology, University of Tübingen, Tübingen, Germany.

出版信息

J Immunother Cancer. 2025 Aug 31;13(8):e012083. doi: 10.1136/jitc-2025-012083.

Abstract

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.

摘要

人类白细胞抗原(HLA)呈递的肽库,即免疫肽组,在T细胞介导的免疫反应中起着关键作用。此前,通过高分辨率数据依赖型采集(DDA)质谱技术,在一项大规模研究“ HLA配体图谱”中绘制了非恶性组织的人类免疫肽组。这个公开可用且用户友好的网络界面(https://hla-ligand-atlas.org)经常在抗原发现中用作良性组织参考,尤其是在癌症免疫治疗中。在这里,我们通过对所有组织-受试者组合进行成对的数据独立型采集(DIA)运行来扩展HLA配体图谱资源。这个新数据集包括来自18名受试者和29种不同组织的242份非恶性人类样本的946次DIA HLA I类和II类免疫肽组运行。连同已发表的DDA运行数据,这扩展了对HLA配体图谱数据集进行分析的范围和深度。在简要分析中,我们展示了DIA在光谱采样和灵敏度方面优于DDA的优势。这些发现归因于DIA中动态范围的增加,从而能够识别低信号强度的肽跃迁。此外,我们通过应用HLA-A*02:01同种异型特异性光谱库搜索来识别和定量HLA呈递的肽,证明了其卓越的灵敏度。我们鼓励将提供的DDA和DIA数据结合起来重新分析,作为未来人类免疫学研究的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c38d/12406853/7e9aac9574c0/jitc-13-8-g002.jpg

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