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免疫肽组学:用于质谱分析的 MHC Ⅰ类和Ⅱ类相关肽的小鼠和人源分离。

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis.

机构信息

CHU Sainte-Justine Research Center;

CHU Sainte-Justine Research Center.

出版信息

J Vis Exp. 2021 Oct 15(176). doi: 10.3791/63052.

DOI:10.3791/63052
PMID:34723952
Abstract

Immunopeptidomics is an emerging field that fuels and guides the development of vaccines and immunotherapies. More specifically, it refers to the science of investigating the composition of peptides presented by major histocompatibility complex (MHC) class I and class II molecules using mass spectrometry (MS) technology platforms. Among all the steps in an MS-based immunopeptidomics workflow, sample preparation is critically important for capturing high-quality data of therapeutic relevance. Here, step-by-step instructions are described to isolate MHC class I and II-associated peptides by immunoaffinity purification from quality control samples, from mouse (EL4 and A20), and human (JY) cell lines more specifically. The various reagents and specific antibodies are thoroughly described to isolate MHC-associated peptides from these cell lines, including the steps to verify the beads-binding efficiency of the antibody and the elution efficiency of the MHC-peptide complexes from the beads. The protocol can be used to establish and standardize an immunopeptidomics workflow, as well as to benchmark new protocols. Moreover, the protocol represents a great starting point for any non-experts in addition to foster the intra- and inter-laboratory reproducibility of the sample preparation procedure in immunopeptidomics.

摘要

免疫肽组学是一个新兴的领域,它推动和指导疫苗和免疫疗法的发展。更具体地说,它是指使用质谱 (MS) 技术平台研究主要组织相容性复合体 (MHC) 类 I 和类 II 分子呈现的肽组成的科学。在基于 MS 的免疫肽组学工作流程的所有步骤中,样品制备对于获取具有治疗相关性的高质量数据至关重要。在这里,逐步描述了从质量控制样品、从小鼠 (EL4 和 A20) 和人 (JY) 细胞系中更具体地免疫亲和纯化分离 MHC 类 I 和 II 相关肽的步骤。还详细描述了用于从这些细胞系中分离 MHC 相关肽的各种试剂和特异性抗体,包括验证抗体与珠子结合效率以及 MHC-肽复合物从珠子洗脱效率的步骤。该方案可用于建立和标准化免疫肽组学工作流程,以及基准新方案。此外,该方案除了促进免疫肽组学中样品制备程序的实验室间可重复性之外,对于任何非专家来说也是一个很好的起点。

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