HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Optimizing cell-free biosensors to monitor enzymatic production.

Abstract : Cell-free systems are promising platforms for rapid and high-throughput prototyping of biological parts in metabolic engineering and synthetic biology. One main limitation of cell-free system applications is the low fold repression of transcriptional repressors. Hence, prokaryotic biosensor development, which mostly relies on repressors, is limited. In this study, we demonstrate how to improve these biosensors in cell-free systems by applying a transcription factor (TF)-doped extract, a preincubation strategy with the TF plasmid, or reinitiation of the cell-free reaction (two-step cell-free reaction). We use the optimized biosensor to sense the enzymatic production of a rare sugar, D-psicose. This work provides a methodology to optimize repressor-based systems in cell-free to further increase the potential of cell-free systems for bioproduction.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02625334
Contributor : Migration Prodinra Connect in order to contact the contributor
Submitted on : Tuesday, May 26, 2020 - 2:09:45 PM
Last modification on : Wednesday, January 26, 2022 - 2:00:35 PM

Identifiers

Citation

Amir Pandi, Ioana Grigoras, Olivier Borkowski, Jean-Loup Faulon. Optimizing cell-free biosensors to monitor enzymatic production.. ACS Synthetic Biology, American Chemical Society, 2019, 8 (8), pp.1952-1957. ⟨10.1021/acssynbio.9b00160⟩. ⟨hal-02625334⟩

Share

Metrics

Record views

43