A SARS-CoV‑2 Peptide Spectral Library Enables Rapid, Sensitive Identification of Virus Peptides in Complex Biological Samples

On the basis of an analysis of (i)
SARS-CoV-2 virions, (ii) SARS-CoV-2-infected
VeroE6 cell lysates, and (iii) recombinant SARS-CoV-2 proteins expressed
in HEK 293 cells, here we present a comprehensive SARS-CoV-2 peptide
spectrum compendium, comprising 1682 high confidence peptide consensus
spectra derived from 1170 peptides (of various charge states) spanning
23 virus proteins. This high quality reference set can be used, e.g.,
for the selection of commonly observed virus peptides for use in targeted
proteomics or data-independent acquisition (DIA) approaches. Using
this rich resource, we also demonstrate that a spectral matching search
approach yields improved performance over the use of standard database
search engines alone for the identification of virus peptides in complex
biological samples.

本研究基于对(i) 新型冠状病毒（SARS-CoV-2）病毒粒子、(ii) 感染SARS-CoV-2的VeroE6细胞裂解液，以及(iii) 在HEK 293细胞中表达的重组SARS-CoV-2蛋白的分析，在此呈现一套全面的SARS-CoV-2肽谱汇编。该汇编包含1682份高置信度肽共有谱，源自1170种带有不同电荷状态的肽段，覆盖23种病毒蛋白。这套高质量参考数据集可用于，例如，筛选适用于靶向蛋白质组学或数据非依赖性采集（DIA）方法的常见病毒肽段。依托这一丰富的资源库，我们还证实，相较于仅使用标准数据库搜索引擎，谱匹配搜索方法在复杂生物样本的病毒肽段鉴定中可获得更优异的性能表现。