Accession |
PRJCA014248 |
Title |
In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs |
Relevance |
Medical |
Data types |
Raw sequence reads
|
Organisms |
Severe acute respiratory syndrome coronavirus 2
Middle East respiratory syndrome-related coronavirus
Severe acute respiratory syndrome-related coronavirus
Homo sapiens
|
Description |
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. |
Sample scope |
Monoisolate |
Release date |
2023-01-16 |
Publication |
PubMed ID |
Article title |
Journal name |
DOI |
Year |
33636127
|
In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs
|
Cell
|
10.1016/j.cell.2021.02.008
|
2021
|
|
Grants |
Agency |
program |
Grant ID |
Grant title |
Ministry of Science and Technology of the People's Republic of China (MOST)
|
National Key Technologies R&D Program
|
2018YFA0107600
|
Heterogeneity of the fate decision of pluripotent stem cells and post-transcriptional regulation of early embryogenesis
|
Ministry of Science and Technology of the People's Republic of China (MOST)
|
National Key Technologies R&D Program
|
2019YFA0110000
|
|
|
Accessions in other database |
Accession |
Database name |
GSE153984
|
NCBI
|
|
Submitter |
Qiangfeng
Cliff
Zhang (qczhang@tsinghua.edu.cn)
|
Organization |
Tsinghua University |
Submission date |
2023-01-05 |