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Cited by 1,439

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

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

Open access
Pardee, Keith, Green, Alexander A., Takahashi, Melissa K., Braff, Dana, Lambert, Guillaume, Lee, Jeong Wook, Ferrante, Tom, Ma, Duo, Donghia, Nina, Fan, Melina, Daringer, Nichole M., Bosch, Irene, Dudley, Dawn M., O’Connor, David H., Gehrke, Lee, Collins, James J.·2016·Cell

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. PAPERCLIP.

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Metadata

Authors
Pardee, K., Green, A. 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.
Venue
Cell
Publisher
Elsevier BV
Published
2016-05
Volume
165
Issue
5
Pages
1255-1266
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2346028445
Cited by
1,439
References
1
FWCI
48.64
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components. https://app.cochat.ai/papers/10.1016/j.cell.2016.04.059
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Pardee, K., Green, A. 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. https://doi.org/10.1016/j.cell.2016.04.059

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.