• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在Q Exactive质谱仪平台上进行HLA I类肽组的非数据依赖采集

Data-Independent Acquisition of HLA Class I Peptidomes on the Q Exactive Mass Spectrometer Platform.

作者信息

Ritz Danilo, Kinzi Jonny, Neri Dario, Fugmann Tim

机构信息

Philochem AG, Otelfingen, Switzerland.

Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.

出版信息

Proteomics. 2017 Oct;17(19). doi: 10.1002/pmic.201700177.

DOI:10.1002/pmic.201700177
PMID:28834231
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5846733/
Abstract

The characterization of peptides presented by human leukocyte antigen (HLA) class I molecules is crucial for understanding immune processes, biomarker discovery, and the development of novel immunotherapies or vaccines. Mass spectrometry allows the direct identification of thousands of HLA-bound peptides from cell lines, blood, or tissue. In recent years, data-independent acquisition (DIA) mass spectrometry methods have evolved, promising to increase reproducibility and sensitivity over classical data-dependent acquisition (DDA) workflows. Here, we describe a DIA setup on the Q Exactive mass spectrometer, optimized regarding the unique properties of HLA class I peptides. The methodology enables sensitive and highly reproducible characterization of HLA peptidomes from individual cell lines. From up to 16 DDA analyses of 100 million human cells, more than 10 000 peptides could be confidently identified, serving as basis for the generation of spectral libraries. This knowledge enabled the subsequent interrogation of DIA data, leading to the identification of peptide sets with >90% overlap between replicate samples, a prerequisite for the comparative study of closely related specimens. Furthermore, >3000 peptides could be identified from just one million cells after DIA analysis using a library generated from 300 million cells. The reduction in sample quantity and the high reproducibility of DIA-based HLA peptidome analysis should facilitate personalized medicine applications.

摘要

人类白细胞抗原(HLA)I类分子呈递的肽段的表征对于理解免疫过程、生物标志物发现以及新型免疫疗法或疫苗的开发至关重要。质谱分析能够直接从细胞系、血液或组织中鉴定出数千种与HLA结合的肽段。近年来,数据非依赖采集(DIA)质谱方法不断发展,有望比传统的数据依赖采集(DDA)工作流程具有更高的重现性和灵敏度。在此,我们描述了一种在Q Exactive质谱仪上的DIA设置,该设置针对HLA I类肽段的独特性质进行了优化。该方法能够灵敏且高度可重复地表征来自单个细胞系的HLA肽组。通过对1亿个人类细胞进行多达16次DDA分析,可以可靠地鉴定出10000多种肽段,这些肽段可作为生成谱库的基础。这些知识使得后续能够对DIA数据进行查询,从而鉴定出重复样本之间重叠率>90%的肽段集,这是对密切相关样本进行比较研究的前提条件。此外,使用由3亿个细胞生成的谱库进行DIA分析后,仅从100万个细胞中就可以鉴定出>3000种肽段。基于DIA的HLA肽组分析中样本量的减少和高重现性应会促进个性化医疗应用。

相似文献

1
Data-Independent Acquisition of HLA Class I Peptidomes on the Q Exactive Mass Spectrometer Platform.在Q Exactive质谱仪平台上进行HLA I类肽组的非数据依赖采集
Proteomics. 2017 Oct;17(19). doi: 10.1002/pmic.201700177.
2
Membranal and Blood-Soluble HLA Class II Peptidome Analyses Using Data-Dependent and Independent Acquisition.采用数据依赖和独立采集方法分析膜结合和血液可溶性 HLA Ⅱ类肽组。
Proteomics. 2018 Jun;18(12):e1700246. doi: 10.1002/pmic.201700246. Epub 2018 Mar 14.
3
Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction.利用可用的大规模多 HLA 光谱文库、数据非依赖采集和 MS/MS 预测进行敏感免疫肽组学分析。
Mol Cell Proteomics. 2021;20:100080. doi: 10.1016/j.mcpro.2021.100080. Epub 2021 Apr 9.
4
Benchmarking Bioinformatics Pipelines in Data-Independent Acquisition Mass Spectrometry for Immunopeptidomics.基于数据非依赖采集质谱的免疫肽组学生物信息学流程的基准测试。
Mol Cell Proteomics. 2023 Apr;22(4):100515. doi: 10.1016/j.mcpro.2023.100515. Epub 2023 Feb 14.
5
diaPASEF Analysis for HLA-I Peptides Enables Quantification of Common Cancer Neoantigens.用于HLA-I肽段的diaPASEF分析能够对常见癌症新抗原进行定量分析。
Mol Cell Proteomics. 2025 Apr;24(4):100938. doi: 10.1016/j.mcpro.2025.100938. Epub 2025 Mar 3.
6
Purification of soluble HLA class I complexes from human serum or plasma deliver high quality immuno peptidomes required for biomarker discovery.从人血清或血浆中纯化可溶性 HLA I 类复合物可提供生物标志物发现所需的高质量免疫肽组。
Proteomics. 2017 Jan;17(1-2). doi: 10.1002/pmic.201600364. Epub 2016 Dec 22.
7
Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer.在四极杆-轨道阱质谱仪上通过数据非依赖采集推进尿蛋白生物标志物的发现
J Proteome Res. 2015 Nov 6;14(11):4752-62. doi: 10.1021/acs.jproteome.5b00826. Epub 2015 Oct 22.
8
Discrimination Between Human Leukocyte Antigen Class I-Bound and Co-Purified HIV-Derived Peptides in Immunopeptidomics Workflows.免疫肽组学工作流程中人类白细胞抗原 I 类结合肽与共纯化的 HIV 衍生肽的区分。
Front Immunol. 2018 Apr 27;9:912. doi: 10.3389/fimmu.2018.00912. eCollection 2018.
9
Characterization of Cerebrospinal Fluid via Data-Independent Acquisition Mass Spectrometry.通过数据非依赖性采集质谱技术对脑脊液进行特征分析。
J Proteome Res. 2018 Oct 5;17(10):3418-3430. doi: 10.1021/acs.jproteome.8b00308. Epub 2018 Sep 12.
10
Mass Spectrometry Based Immunopeptidomics for the Discovery of Cancer Neoantigens.基于质谱的免疫肽组学用于发现癌症新抗原。
Methods Mol Biol. 2018;1719:209-221. doi: 10.1007/978-1-4939-7537-2_14.

引用本文的文献

1
HLA Ligand Atlas DIA: extending the benign immunopeptidomics resource with increased sensitivity through data-independent acquisition mass spectrometry.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。
J Immunother Cancer. 2025 Aug 31;13(8):e012083. doi: 10.1136/jitc-2025-012083.
2
Toward the Development of a Novel Newborn Screening Modality: In-Depth Nontargeted Proteome Analysis of Dried Blood Spots with a Robotic Pipeline Using Low-Cost Iron Powders.迈向新型新生儿筛查方法的发展:使用低成本铁粉通过机器人流程对干血斑进行深入非靶向蛋白质组分析。
Anal Chem. 2025 Aug 26;97(33):17992-18000. doi: 10.1021/acs.analchem.5c01720. Epub 2025 Aug 11.
3
Koina: Democratizing machine learning for proteomics research.科伊纳:蛋白质组学研究的机器学习民主化
bioRxiv. 2024 Jun 3:2024.06.01.596953. doi: 10.1101/2024.06.01.596953.
4
Current perspectives on mass spectrometry-based immunopeptidomics: the computational angle to tumor antigen discovery.基于质谱的免疫肽组学的当前观点:肿瘤抗原发现的计算角度。
J Immunother Cancer. 2023 Oct;11(10). doi: 10.1136/jitc-2023-007073.
5
Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform.使用 MSFragger-DIA 和 FragPipe 计算平台分析 DIA 蛋白质组学数据。
Nat Commun. 2023 Jul 12;14(1):4154. doi: 10.1038/s41467-023-39869-5.
6
Using mass spectrometry to identify neoantigens in autoimmune diseases: The type 1 diabetes example.利用质谱技术鉴定自身免疫性疾病中的新抗原:以 1 型糖尿病为例。
Semin Immunol. 2023 Mar;66:101730. doi: 10.1016/j.smim.2023.101730. Epub 2023 Feb 22.
7
Soluble HLA peptidome: A new resource for cancer biomarkers.可溶性人类白细胞抗原肽组:癌症生物标志物的新来源。
Front Oncol. 2022 Dec 22;12:1069635. doi: 10.3389/fonc.2022.1069635. eCollection 2022.
8
AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics.AlphaPeptDeep:用于蛋白质组学的模块化深度学习框架,用于预测肽性质。
Nat Commun. 2022 Nov 24;13(1):7238. doi: 10.1038/s41467-022-34904-3.
9
The Importance of Being Presented: Target Validation by Immunopeptidomics for Epitope-Specific Immunotherapies.呈现的重要性:免疫肽组学在表位特异性免疫治疗中的靶标验证。
Front Immunol. 2022 Apr 6;13:883989. doi: 10.3389/fimmu.2022.883989. eCollection 2022.
10
What Is the Role of HLA-I on Cancer Derived Extracellular Vesicles? Defining the Challenges in Characterisation and Potential Uses of This Ligandome.HLA-I 在肿瘤衍生细胞外囊泡中的作用是什么?定义这种配体组学的特征和潜在用途的挑战。
Int J Mol Sci. 2021 Dec 17;22(24):13554. doi: 10.3390/ijms222413554.

本文引用的文献

1
Building proteomic tool boxes to monitor MHC class I and class II peptides.构建蛋白质组学工具包以监测MHC I类和II类肽。
Proteomics. 2017 Jan;17(1-2). doi: 10.1002/pmic.201600061.
2
Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry.通过质谱直接鉴定天然人黑色素瘤组织上呈现的临床相关新表位。
Nat Commun. 2016 Nov 21;7:13404. doi: 10.1038/ncomms13404.
3
Purification of soluble HLA class I complexes from human serum or plasma deliver high quality immuno peptidomes required for biomarker discovery.从人血清或血浆中纯化可溶性 HLA I 类复合物可提供生物标志物发现所需的高质量免疫肽组。
Proteomics. 2017 Jan;17(1-2). doi: 10.1002/pmic.201600364. Epub 2016 Dec 22.
4
Technical advances in proteomics: new developments in data-independent acquisition.蛋白质组学的技术进展:非数据依赖采集的新发展
F1000Res. 2016 Mar 31;5. doi: 10.12688/f1000research.7042.1. eCollection 2016.
5
High-sensitivity HLA class I peptidome analysis enables a precise definition of peptide motifs and the identification of peptides from cell lines and patients' sera.高灵敏度的HLA I类肽组分析能够精确定义肽基序,并从细胞系和患者血清中鉴定肽段。
Proteomics. 2016 May;16(10):1570-80. doi: 10.1002/pmic.201500445.
6
Human Leukocyte Antigen (HLA) B27 Allotype-Specific Binding and Candidate Arthritogenic Peptides Revealed through Heuristic Clustering of Data-independent Acquisition Mass Spectrometry (DIA-MS) Data.通过数据非依赖采集质谱(DIA-MS)数据的启发式聚类揭示的人类白细胞抗原(HLA)B27同种异型特异性结合及候选致关节炎肽
Mol Cell Proteomics. 2016 Jun;15(6):1867-76. doi: 10.1074/mcp.M115.056358. Epub 2016 Feb 29.
7
Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.使用质谱分析法分析主要组织相容性复合体(MHC)免疫肽组
Mol Cell Proteomics. 2015 Dec;14(12):3105-17. doi: 10.1074/mcp.O115.052431.
8
Cell surface expression level variation between two common Human Leukocyte Antigen alleles, HLA-A2 and HLA-B8, is dependent on the structure of the C terminal part of the alpha 2 and the alpha 3 domains.两种常见的人类白细胞抗原等位基因HLA - A2和HLA - B8之间的细胞表面表达水平差异,取决于α2和α3结构域C末端部分的结构。
PLoS One. 2015 Aug 10;10(8):e0135385. doi: 10.1371/journal.pone.0135385. eCollection 2015.
9
An open-source computational and data resource to analyze digital maps of immunopeptidomes.一种用于分析免疫肽组数字图谱的开源计算和数据资源。
Elife. 2015 Jul 8;4:e07661. doi: 10.7554/eLife.07661.
10
Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.利用数据非依赖采集扩展定量蛋白质组分析的极限并应用于对乙酰氨基酚处理的三维肝脏微组织
Mol Cell Proteomics. 2015 May;14(5):1400-10. doi: 10.1074/mcp.M114.044305. Epub 2015 Feb 27.