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Point-of-care testing for COVID-19 using SHERLOCK diagnostics
Julia Joung; Alim Ladha; Makoto Saito; Michael Segel; Robert Bruneau; Meei-li W Huang; Nam-Gyun Kim; Xu Yu; Jonathan Li; Bruce D. Walker; Alexander L. Greninger; Keith R. Jerome; Jonathan S. Gootenberg; Omar O. Abudayyeh; Feng Zhang.
Affiliation
  • Julia Joung; Howard Hughes Medical Institute; Broad Institute of MIT and Harvard; McGovern Institute for Brain Research at MIT; Department of Biological Engineering at MIT
  • Alim Ladha; Howard Hughes Medical Institute; Broad Institute of MIT and Harvard; McGovern Institute for Brain Research at MIT; Department of Biological Engineering at MIT
  • Makoto Saito; Howard Hughes Medical Institute; Broad Institute of MIT and Harvard; McGovern Institute for Brain Research at MIT; Departments of Biological Engineering and Bra
  • Michael Segel; Howard Hughes Medical Institute; Broad Institute of MIT and Harvard; McGovern Institute for Brain Research at MIT; Departments of Biological Engineering and Bra
  • Robert Bruneau; University of Washington, Seattle
  • Meei-li W Huang; University of Washington, Seattle
  • Nam-Gyun Kim; University of Washington, Seattle
  • Xu Yu; Ragon Institute of MGH, MIT and Harvard; Massachusetts General Hospital; Massachusetts Consortium for Pathogen Readiness
  • Jonathan Li; Ragon Institute of MGH, MIT and Harvard; Brigham and Women's Hospital; Massachusetts Consortium for Pathogen Readiness
  • Bruce D. Walker; Howard Hughes Medical Institute; Massachusetts Consortium for Pathogen Readiness
  • Alexander L. Greninger; University of Washington, Seattle; Fred Hutchinson Cancer Research Center
  • Keith R. Jerome; University of Washington, Seattle; Fred Hutchinson Cancer Research Center
  • Jonathan S. Gootenberg; McGovern Institute for Brain Research at MIT; Massachusetts Consortium for Pathogen Readiness
  • Omar O. Abudayyeh; McGovern Institute for Brain Research at MIT; Massachusetts Consortium for Pathogen Readiness
  • Feng Zhang; Howard Hughes Medical Institute; Broad Institute of MIT and Harvard; McGovern Institute for Brain Research at MIT; Departments of Biological Engineering and Bra
Preprint in English | medRxiv | ID: ppmedrxiv-20091231
ABSTRACT
The recent outbreak of the novel coronavirus SARS-CoV-2, which causes COVID-19, can be diagnosed using RT-qPCR, but inadequate access to reagents and equipment has slowed disease detection and impeded efforts to mitigate viral spread. Alternative approaches based on combinations of isothermal amplification and CRISPR-mediated detection, such as the SHERLOCK (Specific High Sensitivity Enzymatic Reporter UnLOCKing) technique, offer reduced dependence on RT-qPCR equipment, but previously reported methods required multiple fluid handling steps, complicating their deployment outside clinical labs. Here we developed a simple test chemistry called STOP (SHERLOCK Testing in One Pot) for detecting SARS-CoV-2 in one hour that is suitable for point-of-care use. This simplified test, STOPCovid, provides sensitivity comparable to RT-qPCR-based SARS-CoV-2 tests and has a limit of detection of 100 copies of viral genome input in saliva or nasopharyngeal swabs per reaction. Using lateral flow readout, the test returns result in 70 minutes, and using fluorescence readout, the test returns result in 40 minutes. Moreover, we validated STOPCovid using nasopharyngeal swabs from COVID-19 patients and were able to correctly diagnose 12 positive and 5 negative patients out of 3 replicates. We envision that implementation of STOPCovid will significantly aid "test-trace-isolate" efforts, especially in low-resource settings, which will be critical for long-term public health safety and effective reopening of the society.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Prognostic study Language: English Year: 2020 Document type: Preprint
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