dc.contributor.author | Myhrvold, Cameron | |
dc.contributor.author | Freije, Catherine A. | |
dc.contributor.author | Gootenberg, Jonathan S | |
dc.contributor.author | Abudayyeh, Omar O. | |
dc.contributor.author | Metsky, Hayden C. | |
dc.contributor.author | Durbin, Ann F | |
dc.contributor.author | Kellner, Max J. | |
dc.contributor.author | Tan, Amanda L. | |
dc.contributor.author | Paul, Lauren M. | |
dc.contributor.author | Parham, Leda A. | |
dc.contributor.author | Garcia, Kimberly F. | |
dc.contributor.author | Barnes, Kayla G. | |
dc.contributor.author | Chak, Bridget | |
dc.contributor.author | Mondini, Adriano | |
dc.contributor.author | Nogueira, Mauricio L. | |
dc.contributor.author | Isern, Sharon | |
dc.contributor.author | Michael, Scott F. | |
dc.contributor.author | Lorenzana, Ivette | |
dc.contributor.author | Yozwiak, Nathan L. | |
dc.contributor.author | MacInnis, Bronwyn L. | |
dc.contributor.author | Bosch, Irene | |
dc.contributor.author | Gehrke, Lee | |
dc.contributor.author | Zhang, Feng | |
dc.contributor.author | Sabeti, Pardis C. | |
dc.date.accessioned | 2020-07-24T19:30:22Z | |
dc.date.available | 2020-07-24T19:30:22Z | |
dc.date.issued | 2018-04 | |
dc.date.submitted | 2018-01 | |
dc.identifier.issn | 0036-8075 | |
dc.identifier.issn | 1095-9203 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/126385 | |
dc.description.abstract | Mitigating global infectious disease requires diagnostic tools that are sensitive, specific, and rapidly field deployable. In this study, we demonstrate that the Cas13-based SHERLOCK (specific high-sensitivity enzymatic reporter unlocking) platform can detect Zika virus (ZIKV) and dengue virus (DENV) in patient samples at concentrations as low as 1 copy per microliter. We developed HUDSON (heating unextracted diagnostic samples to obliterate nucleases), a protocol that pairs with SHERLOCK for viral detection directly from bodily fluids, enabling instrument-free DENV detection directly from patient samples in <2 hours. We further demonstrate that SHERLOCK can distinguish the four DENV serotypes, as well as region-specific strains of ZIKV from the 2015–2016 pandemic. Finally, we report the rapid (<1 week) design and testing of instrument-free assays to detect clinically relevant viral single-nucleotide polymorphisms. | en_US |
dc.description.sponsorship | NIH (Grants AI-100190, 1R01-HG009761, 1R01-MH110049, and 1DP1-HL141201) | en_US |
dc.language.iso | en | |
dc.publisher | American Association for the Advancement of Science (AAAS) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1126/science.aas8836 | 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 | PMC | en_US |
dc.title | Field-deployable viral diagnostics using CRISPR-Cas13 | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Myhrvold, Cameron et al. "Field-deployable viral diagnostics using CRISPR-Cas13." Science 360, 6387 (April 2018): 444-448 © 2017 The Authors | en_US |
dc.contributor.department | McGovern Institute for Brain Research at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.relation.journal | Science | 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 | 2019-10-08T13:05:22Z | |
dspace.date.submission | 2019-10-08T13:05:24Z | |
mit.journal.volume | 360 | en_US |
mit.journal.issue | 6387 | en_US |
mit.metadata.status | Complete | |