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Cited by 700

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

Paper-Based Synthetic Gene Networks

Open access
Pardee, Keith, Green, Alexander A., Ferrante, Tom, Cameron, D. Ewen, DaleyKeyser, Ajay, Yin, Peng, Collins, James J.·2014·Cell

Abstract

Synthetic gene networks have wide-ranging uses in reprogramming and rewiring organisms. To date, there has not been a way to harness the vast potential of these networks beyond the constraints of a laboratory or in vivo environment. Here, we present an in vitro paper-based platform that provides a new venue for synthetic biologists to operate, and a much-needed medium for the safe deployment of engineered gene circuits beyond the lab. Commercially available cell-free systems are freeze-dried onto paper, enabling the inexpensive, sterile and abiotic distribution of synthetic biology-based technologies for the clinic, global health, industry, research and education. For field use, we create circuits with colorimetric outputs for detection by eye, and fabricate a low-cost, electronic optical interface. We demonstrate this technology with small molecule and RNA actuation of genetic switches, rapid prototyping of complex gene circuits, and programmable in vitro diagnostics, including glucose sensors and strain-specific Ebola virus sensors.

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Crossref · 10.1016/j.cell.2014.10.004

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Metadata

Authors
Pardee, K., Green, A. A., Ferrante, T., Cameron, D. E., DaleyKeyser, A., Yin, P., & Collins, J. J.
Venue
Cell
Publisher
Elsevier BV
Published
2014-11
Volume
159
Issue
4
Pages
940-954
ISSN
0092-8674 (ISSN-L)
OpenAlex
W4236366502
Cited by
700
References
1
FWCI
23.18
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Paper-Based Synthetic Gene Networks. https://app.cochat.ai/papers/10.1016/j.cell.2014.10.004
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Pardee, K., Green, A. A., Ferrante, T., Cameron, D. E., DaleyKeyser, A., Yin, P., & Collins, J. J. (2014). Paper-Based Synthetic Gene Networks. Cell. https://doi.org/10.1016/j.cell.2014.10.004

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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.