Detection of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is a crucial tool for fighting the COVID‐19 pandemic. This dataset brief presents the exploration of a shotgun proteomics dataset acquired on SARS‐CoV‐2 infected Vero cells. Proteins from inactivated virus samples were extracted, digested with trypsin, and the resulting peptides were identified by data‐dependent acquisition tandem mass spectrometry. The 101 peptides reporting for six viral proteins were specifically analyzed in terms of their analytical characteristics, species specificity and conservation, and their proneness to structural modifications. Based on these results, a shortlist of 14 peptides from the N, S, and M main structural proteins that could be used for targeted mass‐spectrometry method development and diagnostic of the new SARS‐CoV‐2 is proposed and the best candidates are commented.

中文翻译：

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从实验数据依赖性采集串联质谱数据中筛选用于靶向研究的 SARS-CoV-2 肽。


严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 的检测是对抗 COVID-19 大流行的重要工具。该数据集简介介绍了对在 SARS-CoV-2 感染的 Vero 细胞上获取的鸟枪法蛋白质组学数据集的探索。提取灭活病毒样本中的蛋白质，用胰蛋白酶消化，并通过数据依赖性采集串联质谱法鉴定所得肽。报告的 6 种病毒蛋白的 101 种肽在其分析特征、物种特异性和保守性以及结构修饰的倾向方面进行了专门分析。根据这些结果，提出了来自 N、S 和 M 主要结构蛋白的 14 种肽的候选名单，这些肽可用于新型 SARS-CoV-2 的靶向质谱方法开发和诊断，并对最佳候选肽进行了评论。