Open Science Resources for the Mass Spectrometry-Based Analysis of SARS-CoV-2
Open Science Resources for the Mass Spectrometry-Based Analysis of SARS-CoV-2
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DOI：
10.1021/acs.jproteome.0c00929
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发表时间：
2021-02-19
影响因子：
4.4
通讯作者：
Bandeira, Nuno
中科院分区：
文献类型：
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作者：
Bittremieux, Wout;Adams, Charlotte;Bandeira, Nuno
SARS-CoV-2病毒是2020年导致COVID-19呼吸道疾病大流行的病原体。目前正在进行许多科学和人道主义努力，以开发COVID-19的诊断测试、疫苗和治疗方法，并防止SARS-CoV-2的传播，包括蛋白质组学在内的质谱研究在确定这种病毒感染的生物学方面发挥着作用。蛋白质组学研究开始使人们了解病毒和宿主蛋白在SARS-CoV-2感染期间的作用、它们的蛋白-蛋白相互作用和翻译后修饰。这开始为可用于减轻大流行长期负担的潜在治疗靶点或诊断策略提供见解。然而，全球大流行造成的特殊情况也凸显了改进质谱数据和工作流程共享的必要性。因此，我们描述了可免费获得的数据和计算资源，这些数据和计算资源可以促进和协助基于质谱的SARS-CoV-2分析。我们通过重新分析病毒-宿主相互作用组数据集来检测蛋白质-蛋白质相互作用，并确定可能用作药物再利用靶标的宿主蛋白质。
The SARS-CoV-2 virus is the causative agent of the 2020 pandemic leading to the COVID-19 respiratory disease. With many scientific and humanitarian efforts ongoing to develop diagnostic tests, vaccines, and treatments for COVID-19, and to prevent the spread of SARS-CoV-2, mass spectrometry research, including proteomics, is playing a role in determining the biology of this viral infection. Proteomics studies are starting to lead to an understanding of the roles of viral and host proteins during SARS-CoV-2 infection, their protein-protein interactions, and post-translational modifications. This is beginning to provide insights into potential therapeutic targets or diagnostic strategies that can be used to reduce the long-term burden of the pandemic. However, the extraordinary situation caused by the global pandemic is also highlighting the need to improve mass spectrometry data and workflow sharing. We therefore describe freely available data and computational resources that can facilitate and assist the mass spectrometry-based analysis of SARS-CoV-2. We exemplify this by reanalyzing a virus-host interactome data set to detect protein-protein interactions and identify host proteins that could potentially be used as targets for drug repurposing.