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dc.contributor.authorde Puig, Helena
dc.contributor.authorLee, Rose A.
dc.contributor.authorNajjar, Devora
dc.contributor.authorTan, Xiao
dc.contributor.authorSoekensen, Luis R.
dc.contributor.authorAngenent-Mari, Nicolaas M.
dc.contributor.authorDonghia, Nina M.
dc.contributor.authorWeckman, Nicole E.
dc.contributor.authorOry, Audrey
dc.contributor.authorNg, Carlos F.
dc.contributor.authorNguyen, Peter Q.
dc.contributor.authorMao, Angelo S.
dc.contributor.authorFerrante, Thomas C.
dc.contributor.authorLansberry, Geoffrey
dc.contributor.authorSallum, Hani
dc.contributor.authorNiemi, James
dc.contributor.authorCollins, James J.
dc.date.accessioned2021-08-10T21:36:34Z
dc.date.available2021-08-10T21:36:34Z
dc.date.issued2021-08
dc.date.submitted2021-03
dc.identifier.issn2375-2548
dc.identifier.urihttps://hdl.handle.net/1721.1/131169
dc.description.abstractThe COVID-19 pandemic highlights the need for diagnostics that can be rapidly adapted and deployed in a variety of settings. Several SARS-CoV-2 variants have shown worrisome effects on vaccine and treatment efficacy, but no current point-of-care (POC) testing modality allows their specific identification. We have developed miSHERLOCK, a low-cost, CRISPR-based POC diagnostic platform that takes unprocessed patient saliva; extracts, purifies, and concentrates viral RNA; performs amplification and detection reactions; and provides fluorescent visual output with only three user actions and 1 hour from sample input to answer out. miSHERLOCK achieves highly sensitive multiplexed detection of SARS-CoV-2 and mutations associated with variants B.1.1.7, B.1.351, and P.1. Our modular system enables easy exchange of assays to address diverse user needs and can be rapidly reconfigured to detect different viruses and variants of concern. An adjunctive smartphone application enables output quantification, automated interpretation, and the possibility of remote, distributed result reporting.en_US
dc.publisherAmerican Association for the Advancement of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/sciadv.abh2944en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceScience Advancesen_US
dc.titleMinimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variantsen_US
dc.typeArticleen_US
dc.identifier.citationde Puig, Helena et al. "Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants." Science Advances 7, 32 (August 2021): eabh2944. © 2021 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentAbdul Latif Jameel Clinic for Machine Learning in Healthen_US
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Centeren_US
dc.contributor.departmentHarvard-MIT Program in Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.relation.journalScience Advancesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2021-08-09T12:09:56Z
mit.journal.volume7en_US
mit.journal.issue32en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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