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为免疫肽组学和其他免疫学研究对 SARS-CoV-2 的合成肽进行资源分配、注释和分析。

Resourcing, annotating, and analysing synthetic peptides of SARS-CoV-2 for immunopeptidomics and other immunological studies.

机构信息

Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.

Monash Bioinformatics Platform, Monash University, Melbourne, Victoria, Australia.

出版信息

Proteomics. 2021 Sep;21(17-18):e2100036. doi: 10.1002/pmic.202100036. Epub 2021 Apr 14.

Abstract

SARS-CoV-2 has caused a significant ongoing pandemic worldwide. A number of studies have examined the T cell mediated immune responses against SARS-CoV-2, identifying potential T cell epitopes derived from the SARS-CoV-2 proteome. Such studies will aid in identifying targets for vaccination and immune monitoring. In this study, we applied tandem mass spectrometry and proteomic techniques to a library of ∼40,000 synthetic peptides, in order to generate a large dataset of SARS-CoV-2 derived peptide MS/MS spectra. On this basis, we built an online knowledgebase, termed virusMS (https://virusms.erc.monash.edu/), to document, annotate and analyse these synthetic peptides and their spectral information. VirusMS incorporates a user-friendly interface to facilitate searching, browsing and downloading the database content. Detailed annotations of the peptides, including experimental information, peptide modifications, predicted peptide-HLA (human leukocyte antigen) binding affinities, and peptide MS/MS spectral data, are provided in virusMS.

摘要

SARS-CoV-2 已在全球范围内引发了重大的持续大流行。许多研究都检查了针对 SARS-CoV-2 的 T 细胞介导的免疫反应,确定了源自 SARS-CoV-2 蛋白质组的潜在 T 细胞表位。此类研究将有助于确定疫苗接种和免疫监测的目标。在这项研究中,我们应用串联质谱和蛋白质组学技术对约 40000 个合成肽文库进行了分析,以生成大量源自 SARS-CoV-2 的肽 MS/MS 光谱数据集。在此基础上,我们构建了一个名为 virusMS(https://virusms.erc.monash.edu/)的在线知识库,用于记录、注释和分析这些合成肽及其光谱信息。VirusMS 采用用户友好的界面,方便用户搜索、浏览和下载数据库内容。病毒 MS 中详细注释了肽,包括实验信息、肽修饰、预测的肽-HLA(人类白细胞抗原)结合亲和力以及肽 MS/MS 光谱数据。

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本文引用的文献

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