4.8 Article

In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs

期刊

CELL
卷 184, 期 7, 页码 1865-+

出版社

CELL PRESS
DOI: 10.1016/j.cell.2021.02.008

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资金

  1. National Natural Science Foundation of China [91740204, 91940306, 31761163007, 32070153, 81930063]
  2. National Key R&D Program of China [2018YFA0107603, 2019YFA0110002]
  3. Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences [2016-I2M-1014]
  4. Tsinghua University Spring Breeze Fund [2020Z99CFY029]
  5. Tsinghua University Initiative Scientific Research Program [2019Z06QCX10]
  6. Tsinghua-Cambridge Joint Research Initiative Fund [2019Z02CAU]
  7. TsinghuaPeking Center for Life Sciences Postdoctoral Fellowship

向作者/读者索取更多资源

Research on the structure and interactions of SARS-CoV-2 RNA with host proteins has identified potential therapeutic targets and strategies for reducing viral infection, shedding light on new avenues for COVID-19 treatment.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing coronavirus disease 2019 (COVID-19) pandemic. Understanding of the RNA virus and its interactions with host proteins could improve therapeutic interventions for COVID-19. By using icSHAPE, we determined the structural landscape of SARS-CoV-2 RNA in infected human cells and from refolded RNAs, as well as the regulatory untranslated regions of SARS-CoV-2 and six other coronaviruses. We validated several structural elements predicted in silico and discovered structural features that affect the translation and abundance of subgenomic viral RNAs in cells. The structural data informed a deep-learning tool to predict 42 host proteins that bind to SARS-CoV-2 RNA. Strikingly, antisense oligonucleotides targeting the structural elements and FDA-approved drugs inhibiting the SARS-CoV-2 RNA binding proteins dramatically reduced SARS-CoV-2 infection in cells derived from human liver and lung tumors. Our findings thus shed light on coronavirus and reveal multiple candidate therapeutics for COVID-19 treatment.

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