Bioinformatics analysis of single-cell mRNA-seq of SARS-CoV-1 and SARS-CoV-2 infection compared to MERS-CoV from Sequence Read Archive (SRA) database reveals novel targets for therapies
Abstract:The global pandemic of COVID-19 caused by SARS-CoV-2 is still threatening the world. By May 13, 2020, more than 40 million people have been infected by SARS-CoV-2 and almost 300 thousand deaths were reported. The discovery and development of anti-viral drugs and vaccines are being conducted worldwide and the understanding of the molecular responses of a single cell to SARS-CoV-2 is in urgent need. The comparative analysis of gene expression in SARS-CoVs and MERS-CoV infected Calu-3 cells reveals that although … Show more
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