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Identification of Candidate COVID-19 Therapeutics using hPSC-derived Lung Organoids. Identification of Candidate COVID-19 Therapeutics using hPSC-derived Lung Organoids

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NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA623281
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资源简介:
The SARS-CoV-2 virus has caused already over 3.5 million COVID-19 cases and 250,000 deaths globally. There is an urgent need to create novel models to study SARS-CoV-2 using human disease-relevant cells to understand key features of virus biology and facilitate drug screening. As primary SARS-CoV-2 infection is respiratory-based, we developed a lung organoid model using human pluripotent stem cells (hPSCs) that could be adapted for drug screens. Overall design: We performed a high throughput screen using hPSC-derived lung organoids and identified FDA-approved drug candidates, including imatinib and mycophenolic acid, as inhibitors of SARS-CoV-2 entry. Please note that the Series/sample records have been updated on Dec 8, 2020.
创建时间:
2020-04-06
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