Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components
Name
Rapid Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components-Collins.pdf
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10.54 MB
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Author(s)
Pardee, Keith
Green, Alexander A.
Lambert, Guillaume
Ferrante, Tom
Ma, Duo
Donghia, Nina
Fan, Melina
Dudley, Dawn M.
O’Connor, David H.
Takahashi, Melissa Kimie
Date Issued
May 2016
Journal
Cell
Publisher
Elsevier
Citation
Pardee, Keith; Green, Alexander A.; Takahashi, Melissa K.; Braff, Dana; Lambert, Guillaume; Lee, Jeong Wook; Ferrante, Tom et al. “Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components.” Cell 165, no. 5 (May 2016): 1255–1266. © 2016 Elsevier Inc
Version
Author's final manuscript
Abstract
The recent Zika virus outbreak highlights the need for low-cost diagnostics that can be rapidly developed for distribution and use in pandemic regions. Here, we report a pipeline for the rapid design, assembly, and validation of cell-free, paper-based sensors for the detection of the Zika virus RNA genome. By linking isothermal RNA amplification to toehold switch RNA sensors, we detect clinically relevant concentrations of Zika virus sequences and demonstrate specificity against closely related Dengue virus sequences. When coupled with a novel CRISPR/Cas9-based module, our sensors can discriminate between viral strains with single-base resolution. We successfully demonstrate a simple, field-ready sample-processing workflow and detect Zika virus from the plasma of a viremic macaque. Our freeze-dried biomolecular platform resolves important practical limitations to the deployment of molecular diagnostics in the field and demonstrates how synthetic biology can be used to develop diagnostic tools for confronting global health crises.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1016/j.cell.2016.04.059
