It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
The implementation of Boolean logic circuits in cells have become a very active field within synthetic biology. Although these are mostly focussed on the genetic components alone, the context in which the circuit performs is crucial for its outcome. We characterise 20 genetic NOT logic gates in up to 7 bacterial-based contexts each, to generate 135 different functions. The contexts we focus on are combinations of four plasmid backbones and three hosts, two Escherichia coli and one Pseudomonas putida strains. Each gate shows seven different dynamic behaviours, depending on the context. That is, gates can be fine-tuned by changing only contextual parameters, thus improving the compatibility between gates. Finally, we analyse portability by measuring, scoring, and comparing gate performance across contexts. Rather than being a limitation, we argue that the effect of the genetic background on synthetic constructs expands functionality, and advocate for considering context as a fundamental design parameter.
Genetic circuits can be engineered to generate predefined outcomes, however host context is a crucial factor in performance. Here the authors characterise twenty NOT gates in seven different bacteria to understand and predict interoperability and portability across hosts.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 Systems Biology Department, Centro Nacional de Biotecnologia-CSIC, Madrid, Spain (GRID:grid.428469.5) (ISNI:0000 0004 1794 1018)
2 Newcastle University, School of Computing, Newcastle Upon Tyne, UK (GRID:grid.1006.7) (ISNI:0000 0001 0462 7212)
3 Newcastle University, School of Computing, Newcastle Upon Tyne, UK (GRID:grid.1006.7) (ISNI:0000 0001 0462 7212); Universidad Politénica de Madrid (UPM), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Madrid, Spain (GRID:grid.419190.4) (ISNI:0000 0001 2300 669X)