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从实验数据依赖采集串联质谱数据中筛选针对 SARS-CoV-2 的肽段进行靶向研究。

Shortlisting SARS-CoV-2 Peptides for Targeted Studies from Experimental Data-Dependent Acquisition Tandem Mass Spectrometry Data.

机构信息

Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France.

出版信息

Proteomics. 2020 Jul;20(14):e2000107. doi: 10.1002/pmic.202000107. Epub 2020 Jun 21.

Abstract

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.

摘要

检测严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)是抗击 COVID-19 大流行的重要工具。本数据集简述了对感染 SARS-CoV-2 的 Vero 细胞进行的鸟枪法蛋白质组学数据集的探索。从灭活病毒样本中提取蛋白质,用胰蛋白酶消化,然后通过依赖数据的采集串联质谱法鉴定得到的肽段。针对六种病毒蛋白的 101 个报告肽段,从分析特性、物种特异性和保守性以及结构修饰的倾向等方面进行了专门分析。基于这些结果,提出了一份由 N、S 和 M 主要结构蛋白中的 14 个肽段组成的短名单,可用于靶向质谱法方法的开发和新 SARS-CoV-2 的诊断,并对最佳候选物进行了评论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9c2/7267140/ef2ead0316b3/PMIC-20-0-g002.jpg

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