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基于质谱的人白细胞抗原蛋白呈递肽免疫肽组学

Mass Spectrometry-Based Immunopeptidomics of Peptides Presented on Human Leukocyte Antigen Proteins.

机构信息

Institute of Clinical Molecular Biology, University of Kiel, Kiel, Germany.

出版信息

Methods Mol Biol. 2024;2758:425-443. doi: 10.1007/978-1-0716-3646-6_23.

DOI:10.1007/978-1-0716-3646-6_23
PMID:38549028
Abstract

Human leukocyte antigen (HLA) proteins are a group of glycoproteins that are expressed at the cell surface, where they present peptides to T cells through physical interactions with T-cell receptors (TCRs). Hence, characterizing the set of peptides presented by HLA proteins, referred to hereafter as the immunopeptidome, is fundamental for neoantigen identification, immunotherapy, and vaccine development. As a result, different methods have been used over the years to identify peptides presented by HLA proteins, including competition assays, peptide microarrays, and yeast display systems. Nonetheless, over the last decade, mass spectrometry-based immunopeptidomics (MS-immunopeptidomics) has emerged as the gold-standard method for identifying peptides presented by HLA proteins. MS-immunopeptidomics enables the direct identification of the immunopeptidome in different tissues and cell types in different physiological and pathological states, for example, solid tumors or virally infected cells. Despite its advantages, it is still an experimentally and computationally challenging technique with different aspects that need to be considered before planning an MS-immunopeptidomics experiment, while conducting the experiment and with analyzing and interpreting the results. Hence, we aim in this chapter to provide an overview of this method and discuss different practical considerations at different stages starting from sample collection until data analysis. These points should aid different groups aiming at utilizing MS-immunopeptidomics, as well as, identifying future research directions to improve the method.

摘要

人类白细胞抗原 (HLA) 蛋白是一组糖蛋白,在细胞表面表达,通过与 T 细胞受体 (TCR) 的物理相互作用将肽呈现给 T 细胞。因此,描述 HLA 蛋白呈现的肽集合,即免疫肽组,对于新抗原鉴定、免疫疗法和疫苗开发至关重要。因此,多年来已经使用了不同的方法来鉴定 HLA 蛋白呈现的肽,包括竞争测定、肽微阵列和酵母展示系统。尽管如此,在过去的十年中,基于质谱的免疫肽组学 (MS-immunopeptidomics) 已成为鉴定 HLA 蛋白呈现的肽的金标准方法。MS-immunopeptidomics 能够直接鉴定不同生理和病理状态下不同组织和细胞类型中的免疫肽组,例如实体瘤或病毒感染的细胞。尽管具有优势,但它仍然是一种实验和计算上具有挑战性的技术,在规划 MS-immunopeptidomics 实验之前、进行实验时以及分析和解释结果时,都需要考虑不同的方面。因此,我们旨在本章中概述该方法,并讨论从样品收集到数据分析的不同阶段的不同实际考虑因素。这些要点应该有助于不同旨在利用 MS-immunopeptidomics 的小组,以及确定改进该方法的未来研究方向。

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本文引用的文献

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Nat Commun. 2022 Oct 14;13(1):6075. doi: 10.1038/s41467-022-33721-y.
2
A high-throughput yeast display approach to profile pathogen proteomes for MHC-II binding.高通量酵母展示方法分析病原体蛋白质组与 MHC-II 的结合。
Elife. 2022 Jul 4;11:e78589. doi: 10.7554/eLife.78589.
3
A novel immunopeptidomic-based pipeline for the generation of personalized oncolytic cancer vaccines.一种新型免疫肽组学为基础的流水线,用于生成个体化溶瘤癌症疫苗。
Elife. 2022 Mar 22;11:e71156. doi: 10.7554/eLife.71156.
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Identification of tumor antigens with immunopeptidomics.免疫肽组学鉴定肿瘤抗原。
Nat Biotechnol. 2022 Feb;40(2):175-188. doi: 10.1038/s41587-021-01038-8. Epub 2021 Oct 11.
5
Immunopeptidomics toolkit library (IPTK): a python-based modular toolbox for analyzing immunopeptidomics data.免疫肽组学工具包库 (IPTK):一个基于 Python 的模块化工具包,用于分析免疫肽组学数据。
BMC Bioinformatics. 2021 Aug 17;22(1):405. doi: 10.1186/s12859-021-04315-0.
6
Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation.教程:基于质谱的蛋白质生物标志物发现和验证的最佳实践和注意事项。
Nat Protoc. 2021 Aug;16(8):3737-3760. doi: 10.1038/s41596-021-00566-6. Epub 2021 Jul 9.
7
Yeast display of MHC-II enables rapid identification of peptide ligands from protein antigens (RIPPA).酵母展示 MHC-II 可快速鉴定蛋白质抗原的肽配体(RIPPA)。
Cell Mol Immunol. 2021 Aug;18(8):1847-1860. doi: 10.1038/s41423-021-00717-5. Epub 2021 Jun 11.
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