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 ()
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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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DOI: 10.1038/s41467-019-09722-9

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