Field-deployable viral diagnostics using CRISPR-Cas13
Name
nihms-992009.pdf
Description
Accepted version
Size
1017.83 KB
Format
Adobe PDF
Checksum (MD5)
6b5374fda8d319be9c7622a4f9052059
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.
Date Issued
April 2018
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
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.
MIT 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
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1126/science.aas8836
