Field-deployable viral diagnostics using CRISPR-Cas13 | Zendy

Cameron Myhrvold | Zendy; Catherine A. Freije | Zendy; Jonathan S. Gootenberg | Zendy; Omar O. Abudayyeh | Zendy; Hayden C. Metsky | Zendy; Ann Durbin | Zendy; Max J. Kellner | Zendy; Amanda L. Tan | Zendy; Lauren M. Paul | Zendy; Leda Parham | Zendy; Kimberly García | Zendy; Kayla G. Barnes | Zendy; Bridget Chak | Zendy; Adriano Mondini | Zendy; Maurício Lacerda Nogueira | Zendy; Sharon Isern | Zendy; Scott F. Michael | Zendy; Ivette Lorenzana | Zendy; Nathan L. Yozwiak | Zendy; Bronwyn MacInnis | Zendy; Irene Bosch | Zendy; Lee Gehrke | Zendy; Feng Zhang | Zendy; Pardis C. Sabeti | Zendy

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Field-deployable viral diagnostics using CRISPR-Cas13

Author(s) -

Cameron Myhrvold,

Catherine A. Freije,

Jonathan S. Gootenberg,

Omar O. Abudayyeh,

Hayden C. Metsky,

Ann Durbin,

Max J. Kellner,

Amanda L. Tan,

Lauren M. Paul,

Leda Parham,

Kimberly García,

Kayla G. Barnes,

Bridget Chak,

Adriano Mondini,

Maurício Lacerda Nogueira,

Sharon Isern,

Scott F. Michael,

Ivette Lorenzana,

Nathan L. Yozwiak,

Bronwyn MacInnis,

Irene Bosch,

Lee Gehrke,

Feng Zhang,

Pardis C. Sabeti

Publication year - 2018

Publication title -

science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.aas8836

Subject(s) - crispr , nucleic acid , computational biology , dna , nucleic acid detection , genome editing , biology , nanotechnology , genetics , materials science , gene

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.

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