dc.contributor.author | Joung, Julia | |
dc.contributor.author | Ladha, Alim | |
dc.contributor.author | Jin, Xin | |
dc.contributor.author | Gootenberg, Jonathan S | |
dc.contributor.author | Abudayyeh, Omar O. | |
dc.contributor.author | Zhang, Feng | |
dc.date.accessioned | 2021-12-13T19:49:17Z | |
dc.date.available | 2021-12-13T16:43:26Z | |
dc.date.available | 2021-12-13T19:49:17Z | |
dc.date.issued | 2020-12-01 | |
dc.identifier.uri | https://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.iso | en | |
dc.publisher | Springer Science and Business Media LLC | en_US |
dc.relation.isversionof | 10.1038/s41551-020-00603-x | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | Prof. Feng Zhang | en_US |
dc.title | Clinical validation of a Cas13-based assay for the detection of SARS-CoV-2 RNA | en_US |
dc.type | Article | en_US |
dc.identifier.citation | 2020. "Clinical validation of a Cas13-based assay for the detection of SARS-CoV-2 RNA." Nature Biomedical Engineering, 4 (12). | en_US |
dc.contributor.department | Howard Hughes Medical Institute | en_US |
dc.contributor.department | Broad Institute of MIT and Harvard | en_US |
dc.contributor.department | McGovern Institute for Brain Research at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.relation.journal | Nature Biomedical Engineering | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2021-12-13T16:36:33Z | |
dspace.orderedauthors | Patchsung, 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, C | en_US |
dspace.date.submission | 2021-12-13T16:36:34Z | |
mit.journal.volume | 4 | en_US |
mit.journal.issue | 12 | en_US |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Publication Information Needed | en_US |