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
MetadataShow full item record
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.
DepartmentMcGovern 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 and Science
American Association for the Advancement of Science (AAAS)
Myhrvold, Cameron et al. "Field-deployable viral diagnostics using CRISPR-Cas13." Science 360, 6387 (April 2018): 444-448 © 2017 The Authors
Author's final manuscript