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dc.contributor.authorMyhrvold, Cameron
dc.contributor.authorFreije, Catherine A.
dc.contributor.authorGootenberg, Jonathan S
dc.contributor.authorAbudayyeh, Omar O.
dc.contributor.authorMetsky, Hayden C.
dc.contributor.authorDurbin, Ann F
dc.contributor.authorKellner, Max J.
dc.contributor.authorTan, Amanda L.
dc.contributor.authorPaul, Lauren M.
dc.contributor.authorParham, Leda A.
dc.contributor.authorGarcia, Kimberly F.
dc.contributor.authorBarnes, Kayla G.
dc.contributor.authorChak, Bridget
dc.contributor.authorMondini, Adriano
dc.contributor.authorNogueira, Mauricio L.
dc.contributor.authorIsern, Sharon
dc.contributor.authorMichael, Scott F.
dc.contributor.authorLorenzana, Ivette
dc.contributor.authorYozwiak, Nathan L.
dc.contributor.authorMacInnis, Bronwyn L.
dc.contributor.authorBosch, Irene
dc.contributor.authorGehrke, Lee
dc.contributor.authorZhang, Feng
dc.contributor.authorSabeti, Pardis C.
dc.date.accessioned2020-07-24T19:30:22Z
dc.date.available2020-07-24T19:30:22Z
dc.date.issued2018-04
dc.date.submitted2018-01
dc.identifier.issn0036-8075
dc.identifier.issn1095-9203
dc.identifier.urihttps://hdl.handle.net/1721.1/126385
dc.description.abstractMitigating 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.sponsorshipNIH (Grants AI-100190, 1R01-HG009761, 1R01-MH110049, and 1DP1-HL141201)en_US
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/science.aas8836en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleField-deployable viral diagnostics using CRISPR-Cas13en_US
dc.typeArticleen_US
dc.identifier.citationMyhrvold, Cameron et al. "Field-deployable viral diagnostics using CRISPR-Cas13." Science 360, 6387 (April 2018): 444-448 © 2017 The Authorsen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.relation.journalScienceen_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.updated2019-10-08T13:05:22Z
dspace.date.submission2019-10-08T13:05:24Z
mit.journal.volume360en_US
mit.journal.issue6387en_US
mit.metadata.statusComplete


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