CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach

摘要: The emergence and outbreak of SARS-CoV-2, the causative agent COVID-19, has rapidly become a global concern highlighted need for fast, sensitive, specific diagnostics. Here we provide assay designs experimental resources, use with CRISPR-based nucleic acid detection, that could be valuable ongoing surveillance. We detection 67 viral species subspecies, including: phylogenetically-related viruses, viruses similar clinical presentation. are outputs algorithms developing designing assays comprehensive across genomic diversity predicted to highly sensitive specific. Of our design set, experimentally screened 4 SARS-CoV-2 CRISPR-Cas13 system then extensively tested highest-performing assay. demonstrate sensitivity speed this using synthetic targets fluorescent lateral flow detection. Moreover, provided protocol can extended testing other 66 designs. Assay available at https://adapt.sabetilab.org/.