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Nature · 2021

Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Stukalov Alexey, Girault Virginie, Grass Vincent, Karayel Ozge, Bergant Valter, Urban Christian, Haas Darya A, Huang Yiqi, Oubraham Lila, Wang Anqi, Hamad M Sabri, Piras Antonio, Hansen Fynn M, Tanzer Maria C, Paron Igor, Zinzula Luca, Engleitner Thomas, Reinecke Maria, Lavacca Teresa M, Ehmann Rosina, Wölfel Roman, Jores Jörg, Kuster Bernhard, Protzer Ulrike, Rad Roland, Ziebuhr John, Thiel Volker, Scaturro Pietro, Mann Matthias, Pichlmair Andreas

Аннотация

The emergence and global spread of SARS-CoV-2 has resulted in the urgent need for an in-depth understanding of molecular functions of viral proteins and their interactions with the host proteome. Several individual omics studies have extended our knowledge of COVID-19 pathophysiology1-10. Integration of such datasets to obtain a holistic view of virus-host interactions and to define the pathogenic properties of SARS-CoV-2 is limited by the heterogeneity of the experimental systems. Here we report a concurrent multi-omics study of SARS-CoV-2 and SARS-CoV. Using state-of-the-art proteomics, we profiled the interactomes of both viruses, as well as their influence on the transcriptome, proteome, ubiquitinome and phosphoproteome of a lung-derived human cell line. Projecting these data onto the global network of cellular interactions revealed crosstalk between the perturbations taking place upon infection with SARS-CoV-2 and SARS-CoV at different levels and enabled identification of distinct and common molecular mechanisms of these closely related coronaviruses. The TGF-β pathway, known for its involvement in tissue fibrosis, was specifically dysregulated by SARS-CoV-2 ORF8 and autophagy was specifically dysregulated by SARS-CoV-2 ORF3. The extensive dataset (available at https://covinet.innatelab.org ) highlights many hotspots that could be targeted by existing drugs and may be used to guide rational design of virus- and host-directed therapies, which we exemplify by identifying inhibitors of kinases and matrix metalloproteases with potent antiviral effects against SARS-CoV-2.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты