Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants
An integrated, low-cost, sample-to-answer, CRISPR-based diagnostic detects SARS-CoV-2 and variants from unprocessed saliva. The 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 ef...
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creator | de Puig, Helena Lee, Rose A. Najjar, Devora Tan, Xiao Soenksen, Luis R. Angenent-Mari, Nicolaas M. Donghia, Nina M. Weckman, Nicole E. Ory, Audrey Ng, Carlos F. Nguyen, Peter Q. Mao, Angelo S. Ferrante, Thomas C. Lansberry, Geoffrey Sallum, Hani Niemi, James Collins, James J. |
description | An integrated, low-cost, sample-to-answer, CRISPR-based diagnostic detects SARS-CoV-2 and variants from unprocessed saliva.
The 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. |
doi_str_mv | 10.1126/sciadv.abh2944 |
format | Article |
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The 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.</description><identifier>ISSN: 2375-2548</identifier><identifier>EISSN: 2375-2548</identifier><identifier>DOI: 10.1126/sciadv.abh2944</identifier><identifier>PMID: 34362739</identifier><language>eng</language><publisher>American Association for the Advancement of Science</publisher><subject>Health and Medicine ; SciAdv r-articles ; Synthetic Biology</subject><ispartof>Science advances, 2021-08, Vol.7 (32)</ispartof><rights>Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2021 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-481eba953cdb3bd535e8a89b17995df8686c04443ac96b7412f5ab231f6e27603</citedby><cites>FETCH-LOGICAL-c433t-481eba953cdb3bd535e8a89b17995df8686c04443ac96b7412f5ab231f6e27603</cites><orcidid>0000-0003-0826-904X ; 0000-0002-0935-6404 ; 0000-0001-5993-0091 ; 0000-0002-7341-9860 ; 0000-0002-5368-6996 ; 0000-0001-8782-3445 ; 0000-0001-7890-7209 ; 0000-0001-9048-3592 ; 0000-0002-5560-8246</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346217/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346217/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>de Puig, Helena</creatorcontrib><creatorcontrib>Lee, Rose A.</creatorcontrib><creatorcontrib>Najjar, Devora</creatorcontrib><creatorcontrib>Tan, Xiao</creatorcontrib><creatorcontrib>Soenksen, Luis R.</creatorcontrib><creatorcontrib>Angenent-Mari, Nicolaas M.</creatorcontrib><creatorcontrib>Donghia, Nina M.</creatorcontrib><creatorcontrib>Weckman, Nicole E.</creatorcontrib><creatorcontrib>Ory, Audrey</creatorcontrib><creatorcontrib>Ng, Carlos F.</creatorcontrib><creatorcontrib>Nguyen, Peter Q.</creatorcontrib><creatorcontrib>Mao, Angelo S.</creatorcontrib><creatorcontrib>Ferrante, Thomas C.</creatorcontrib><creatorcontrib>Lansberry, Geoffrey</creatorcontrib><creatorcontrib>Sallum, Hani</creatorcontrib><creatorcontrib>Niemi, James</creatorcontrib><creatorcontrib>Collins, James J.</creatorcontrib><title>Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants</title><title>Science advances</title><description>An integrated, low-cost, sample-to-answer, CRISPR-based diagnostic detects SARS-CoV-2 and variants from unprocessed saliva.
The 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. 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Lee, Rose A. ; Najjar, Devora ; Tan, Xiao ; Soenksen, Luis R. ; Angenent-Mari, Nicolaas M. ; Donghia, Nina M. ; Weckman, Nicole E. ; Ory, Audrey ; Ng, Carlos F. ; Nguyen, Peter Q. ; Mao, Angelo S. ; Ferrante, Thomas C. ; Lansberry, Geoffrey ; Sallum, Hani ; Niemi, James ; Collins, James J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-481eba953cdb3bd535e8a89b17995df8686c04443ac96b7412f5ab231f6e27603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Health and Medicine</topic><topic>SciAdv r-articles</topic><topic>Synthetic Biology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Puig, Helena</creatorcontrib><creatorcontrib>Lee, Rose A.</creatorcontrib><creatorcontrib>Najjar, Devora</creatorcontrib><creatorcontrib>Tan, Xiao</creatorcontrib><creatorcontrib>Soenksen, Luis R.</creatorcontrib><creatorcontrib>Angenent-Mari, Nicolaas M.</creatorcontrib><creatorcontrib>Donghia, Nina M.</creatorcontrib><creatorcontrib>Weckman, Nicole E.</creatorcontrib><creatorcontrib>Ory, Audrey</creatorcontrib><creatorcontrib>Ng, Carlos F.</creatorcontrib><creatorcontrib>Nguyen, Peter Q.</creatorcontrib><creatorcontrib>Mao, Angelo S.</creatorcontrib><creatorcontrib>Ferrante, Thomas C.</creatorcontrib><creatorcontrib>Lansberry, Geoffrey</creatorcontrib><creatorcontrib>Sallum, Hani</creatorcontrib><creatorcontrib>Niemi, James</creatorcontrib><creatorcontrib>Collins, James J.</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Science advances</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Puig, Helena</au><au>Lee, Rose A.</au><au>Najjar, Devora</au><au>Tan, Xiao</au><au>Soenksen, Luis R.</au><au>Angenent-Mari, Nicolaas M.</au><au>Donghia, Nina M.</au><au>Weckman, Nicole E.</au><au>Ory, Audrey</au><au>Ng, Carlos F.</au><au>Nguyen, Peter Q.</au><au>Mao, Angelo S.</au><au>Ferrante, Thomas C.</au><au>Lansberry, Geoffrey</au><au>Sallum, Hani</au><au>Niemi, James</au><au>Collins, James J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants</atitle><jtitle>Science advances</jtitle><date>2021-08-06</date><risdate>2021</risdate><volume>7</volume><issue>32</issue><issn>2375-2548</issn><eissn>2375-2548</eissn><abstract>An integrated, low-cost, sample-to-answer, CRISPR-based diagnostic detects SARS-CoV-2 and variants from unprocessed saliva.
The 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.</abstract><pub>American Association for the Advancement of Science</pub><pmid>34362739</pmid><doi>10.1126/sciadv.abh2944</doi><orcidid>https://orcid.org/0000-0003-0826-904X</orcidid><orcidid>https://orcid.org/0000-0002-0935-6404</orcidid><orcidid>https://orcid.org/0000-0001-5993-0091</orcidid><orcidid>https://orcid.org/0000-0002-7341-9860</orcidid><orcidid>https://orcid.org/0000-0002-5368-6996</orcidid><orcidid>https://orcid.org/0000-0001-8782-3445</orcidid><orcidid>https://orcid.org/0000-0001-7890-7209</orcidid><orcidid>https://orcid.org/0000-0001-9048-3592</orcidid><orcidid>https://orcid.org/0000-0002-5560-8246</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Health and Medicine SciAdv r-articles Synthetic Biology |
title | Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants |
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