Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla 92093, California, United States.
Department of Computer Science, University of Antwerp, Antwerp 2020, Belgium.
J Proteome Res. 2021 Mar 5;20(3):1464-1475. doi: 10.1021/acs.jproteome.0c00929. Epub 2021 Feb 19.
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.
严重急性呼吸综合征冠状病毒 2 型（SARS-CoV-2）是导致 2019 年冠状病毒病（COVID-19）的病原体。目前，科学界和人道主义者正在共同努力，开发 COVID-19 的诊断检测、疫苗和治疗方法，并防止 SARS-CoV-2 的传播。在这一过程中，包括蛋白质组学在内的质谱研究正在发挥作用，以确定这种病毒感染的生物学特性。蛋白质组学研究开始揭示病毒和宿主蛋白在 SARS-CoV-2 感染过程中的作用、它们的蛋白-蛋白相互作用以及翻译后修饰。这开始为潜在的治疗靶点或诊断策略提供了一些见解，这些靶点或策略可用于减轻大流行的长期负担。然而，全球大流行带来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，我们描述了可用于促进和协助 SARS-CoV-2 的基于质谱分析的免费数据和计算资源。我们通过重新分析病毒-宿主相互作用组数据集来举例说明这一点，以检测蛋白-蛋白相互作用，并确定可能被用作药物再利用目标的宿主蛋白。
