Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components

Keith Pardee, Alexander Green, Melissa K. Takahashi, Dana Braff, Guillaume Lambert, Jeong Wook Lee, Tom Ferrante, Duo Ma, Nina Donghia, Melina Fan, Nichole M. Daringer, Irene Bosch, Dawn M. Dudley, David H. O'Connor, Lee Gehrke, James J. Collins

Research output: Contribution to journalArticle

324 Scopus citations

Abstract

Summary 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. PaperClip.

Original languageEnglish (US)
Pages (from-to)1255-1266
Number of pages12
JournalCell
Volume165
Issue number5
DOIs
StatePublished - May 19 2016

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Fingerprint Dive into the research topics of 'Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components'. Together they form a unique fingerprint.

  • Cite this

    Pardee, K., Green, A., Takahashi, M. K., Braff, D., Lambert, G., Lee, J. W., Ferrante, T., Ma, D., Donghia, N., Fan, M., Daringer, N. M., Bosch, I., Dudley, D. M., O'Connor, D. H., Gehrke, L., & Collins, J. J. (2016). Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components. Cell, 165(5), 1255-1266. https://doi.org/10.1016/j.cell.2016.04.059