Open Science Resources for the Mass Spectrometry-Based Analysis of SARS-CoV-2

被引:6
作者
Bittremieux, Wout [1 ,2 ]
Adams, Charlotte [1 ]
Laukens, Kris [1 ]
Dorrestein, Pieter C. [2 ]
Bandeira, Nuno [2 ,3 ]
机构
[1] Univ Antwerp, Dept Comp Sci, B-2020 Antwerp, Belgium
[2] Univ Calif San Diego, Skaggs Sch Pharm & Pharmaceut Sci, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
关键词
SARS-CoV-2; mass spectrometry; open science; data sharing; virus-host interactome; RESPIRATORY SYNDROME CORONAVIRUS; PAPAIN-LIKE PROTEASE; POSTTRANSLATIONAL MODIFICATIONS; IDENTIFICATION; DATABASE; PRODUCTS; CURATION; SEARCH; ACCESS; TARGET;
D O I
10.1021/acs.jproteome.0c00929
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1464 / 1475
页数:12
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