4.8 Article

Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants

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SCIENCE ADVANCES
卷 7, 期 32, 页码 -

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AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abh2944

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资金

  1. Paul G. Allen Frontiers Group
  2. Wyss Institute for Biologically Inspired Engineering, Harvard University
  3. Harvard University Center for AIDS Research (CFAR), an NIH-funded program - NIH [P30 AI060354]
  4. NICHD
  5. NCI
  6. NIDCR
  7. NHLBI
  8. NIDA
  9. NIMH
  10. NIA
  11. NIDDK
  12. NINR
  13. NIMHD
  14. FIC
  15. OAR
  16. Burroughs-Wellcome American Society of Tropical Medicine and Hygiene postdoctoral fellowship
  17. American Gastroenterological Association Takeda Pharmaceutical Research Scholar Award in Inflammatory Bowel Disease
  18. MIT-TATA Center fellowship [2748460]

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The miSHERLOCK is a low-cost CRISPR-based POC diagnostic platform that can rapidly detect SARS-CoV-2 and its variants with high sensitivity in just 1 hour. This modular system can be quickly adapted to different viruses and variants, and is complemented by a smartphone application for output interpretation and result reporting.
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.

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