Plug-and-play metabolic transducers expand the chemical detection space of cell-free biosensors
Peter L. Voyvodic,
Amir Pandi,
Mathilde Koch,
Ismael Conejero,
Emmanuel Valjent,
Philippe Courtet,
Eric Renard,
Jean-Loup Faulon () and
Jerome Bonnet ()
Additional contact information
Peter L. Voyvodic: University of Montpellier
Amir Pandi: Université Paris-Saclay
Mathilde Koch: Université Paris-Saclay
Ismael Conejero: University of Montpellier
Emmanuel Valjent: Institute of Functional Genomics, University of Montpellier
Philippe Courtet: Neuropsychiatry, Epidemiological and Clinical Research
Eric Renard: Institute of Functional Genomics, University of Montpellier
Jean-Loup Faulon: Université Paris-Saclay
Jerome Bonnet: University of Montpellier
Nature Communications, 2019, vol. 10, issue 1, 1-8
Abstract:
Abstract Cell-free transcription–translation systems have great potential for biosensing, yet the range of detectable chemicals is limited. Here we provide a workflow to expand the range of molecules detectable by cell-free biosensors through combining synthetic metabolic cascades with transcription factor-based networks. These hybrid cell-free biosensors have a fast response time, strong signal response, and a high dynamic range. In addition, they are capable of functioning in a variety of complex media, including commercial beverages and human urine, in which they can be used to detect clinically relevant concentrations of small molecules. This work provides a foundation to engineer modular cell-free biosensors tailored for many applications.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09722-9
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DOI: 10.1038/s41467-019-09722-9
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