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dc.contributor.authorJoung, Julia
dc.contributor.authorLadha, Alim
dc.contributor.authorJin, Xin
dc.contributor.authorGootenberg, Jonathan S
dc.contributor.authorAbudayyeh, Omar O.
dc.contributor.authorZhang, Feng
dc.date.accessioned2021-12-13T19:49:17Z
dc.date.available2021-12-13T16:43:26Z
dc.date.available2021-12-13T19:49:17Z
dc.date.issued2020-12-01
dc.identifier.urihttps://hdl.handle.net/1721.1/138450.2
dc.description.abstract© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Nucleic acid detection by isothermal amplification and the collateral cleavage of reporter molecules by CRISPR-associated enzymes is a promising alternative to quantitative PCR. Here, we report the clinical validation of the specific high-sensitivity enzymatic reporter unlocking (SHERLOCK) assay using the enzyme Cas13a from Leptotrichia wadei for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)—the virus that causes coronavirus disease 2019 (COVID-19)—in 154 nasopharyngeal and throat swab samples collected at Siriraj Hospital, Thailand. Within a detection limit of 42 RNA copies per reaction, SHERLOCK was 100% specific and 100% sensitive with a fluorescence readout, and 100% specific and 97% sensitive with a lateral-flow readout. For the full range of viral load in the clinical samples, the fluorescence readout was 100% specific and 96% sensitive. For 380 SARS-CoV-2-negative pre-operative samples from patients undergoing surgery, SHERLOCK was in 100% agreement with quantitative PCR with reverse transcription. The assay, which we show is amenable to multiplexed detection in a single lateral-flow strip incorporating an internal control for ribonuclease contamination, should facilitate SARS-CoV-2 detection in settings with limited resources.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/s41551-020-00603-xen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Feng Zhangen_US
dc.titleClinical validation of a Cas13-based assay for the detection of SARS-CoV-2 RNAen_US
dc.typeArticleen_US
dc.identifier.citation2020. "Clinical validation of a Cas13-based assay for the detection of SARS-CoV-2 RNA." Nature Biomedical Engineering, 4 (12).en_US
dc.contributor.departmentHoward Hughes Medical Instituteen_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalNature Biomedical Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-12-13T16:36:33Z
dspace.orderedauthorsPatchsung, M; Jantarug, K; Pattama, A; Aphicho, K; Suraritdechachai, S; Meesawat, P; Sappakhaw, K; Leelahakorn, N; Ruenkam, T; Wongsatit, T; Athipanyasilp, N; Eiamthong, B; Lakkanasirorat, B; Phoodokmai, T; Niljianskul, N; Pakotiprapha, D; Chanarat, S; Homchan, A; Tinikul, R; Kamutira, P; Phiwkaow, K; Soithongcharoen, S; Kantiwiriyawanitch, C; Pongsupasa, V; Trisrivirat, D; Jaroensuk, J; Wongnate, T; Maenpuen, S; Chaiyen, P; Kamnerdnakta, S; Swangsri, J; Chuthapisith, S; Sirivatanauksorn, Y; Chaimayo, C; Sutthent, R; Kantakamalakul, W; Joung, J; Ladha, A; Jin, X; Gootenberg, JS; Abudayyeh, OO; Zhang, F; Horthongkham, N; Uttamapinant, Cen_US
dspace.date.submission2021-12-13T16:36:34Z
mit.journal.volume4en_US
mit.journal.issue12en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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