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基于质谱的免疫肽组学用于发现癌症新抗原。

Mass Spectrometry Based Immunopeptidomics for the Discovery of Cancer Neoantigens.

作者信息

Bassani-Sternberg Michal

机构信息

Ludwig Centre for Cancer Research, University of Lausanne, Epalinges, Switzerland.

Department of Fundamental Oncology, University Hospital of Lausanne, Lausanne, Switzerland.

出版信息

Methods Mol Biol. 2018;1719:209-221. doi: 10.1007/978-1-4939-7537-2_14.

Abstract

Recent data indicate that endogenous mutated cancer proteins can be processed and presented as HLA binding peptides, leading to their recognition in vivo as "non-self." Targeting such neoantigens would enable immune cells to distinguish between normal and cancerous cells, avoiding the risk of autoimmunity. So far, discovery of such neoantigens relies mainly on prediction-based interrogation of the "mutanome" using genomic information as input, followed by highly laborious and time-consuming T cell screening assays. Currently, mass spectrometry is the only unbiased methodology to comprehensively interrogate the naturally presented repertoire of HLA binding peptides, including peptides derived from tumor-associated antigens and post-translational modified peptides. This chapter describes a detailed protocol for in-depth and accurate mass spectrometry based immunopeptidomics, enabling the direct identification of tissue-derived neoantigens extracted from human tumors.

摘要

近期数据表明,内源性突变的癌症蛋白可被加工并呈递为HLA结合肽,从而使其在体内被识别为“非自身”。靶向此类新抗原可使免疫细胞区分正常细胞和癌细胞,避免自身免疫风险。到目前为止,此类新抗原的发现主要依赖于以基因组信息为输入对“突变组”进行基于预测的研究,随后进行极为费力且耗时的T细胞筛选试验。目前,质谱分析法是全面研究HLA结合肽自然呈递库(包括源自肿瘤相关抗原的肽和翻译后修饰肽)的唯一无偏差方法。本章描述了基于质谱的深入且准确的免疫肽组学详细方案,可直接鉴定从人类肿瘤中提取的组织源性新抗原。

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