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Field-deployable viral diagnostics using CRISPR-Cas13

Author(s)
Myhrvold, Cameron; Freije, Catherine A.; Gootenberg, Jonathan S; Abudayyeh, Omar O.; Metsky, Hayden C.; Durbin, Ann F; Kellner, Max J.; Tan, Amanda L.; Paul, Lauren M.; Parham, Leda A.; Garcia, Kimberly F.; Barnes, Kayla G.; Chak, Bridget; Mondini, Adriano; Nogueira, Mauricio L.; Isern, Sharon; Michael, Scott F.; Lorenzana, Ivette; Yozwiak, Nathan L.; MacInnis, Bronwyn L.; Bosch, Irene; Gehrke, Lee; Zhang, Feng; Sabeti, Pardis C.; ... Show more Show less
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
Mitigating 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.
Date issued
2018-04
URI
https://hdl.handle.net/1721.1/126385
Department
McGovern Institute for Brain Research at MIT; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Biological Engineering; Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Myhrvold, Cameron et al. "Field-deployable viral diagnostics using CRISPR-Cas13." Science 360, 6387 (April 2018): 444-448 © 2017 The Authors
Version: Author's final manuscript
ISSN
0036-8075
1095-9203

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