2020
DOI: 10.1038/s41589-020-0637-3
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Pyruvate-responsive genetic circuits for dynamic control of central metabolism

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Cited by 112 publications
(73 citation statements)
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“…ynthetic biology aiming to perform computational programs in living cells enables revolutionary developments in biotechnology 1,2 . Notably, scalable and robust gene circuits for uni-and bidirectional control of target genes over various timings and levels triggered by specific signals are desirable for diverse applications [3][4][5] . Generally, a dynamic control system of customized functions can be achieved by leveraging a variety of signal-sensing modules, including chemicals 6,7 , intermediate metabolites [8][9][10] , temperature [11][12][13] , light [14][15][16] , and cell population 17 responsive biosensors.…”
mentioning
confidence: 99%
“…ynthetic biology aiming to perform computational programs in living cells enables revolutionary developments in biotechnology 1,2 . Notably, scalable and robust gene circuits for uni-and bidirectional control of target genes over various timings and levels triggered by specific signals are desirable for diverse applications [3][4][5] . Generally, a dynamic control system of customized functions can be achieved by leveraging a variety of signal-sensing modules, including chemicals 6,7 , intermediate metabolites [8][9][10] , temperature [11][12][13] , light [14][15][16] , and cell population 17 responsive biosensors.…”
mentioning
confidence: 99%
“…Biosensor-assisted cell selection has been proven to be an effective approach to improve the quality of the microbial population and enhance the microbial biosynthesis performance [ 16 , 18 , 21 , 27 29 ]. For this study, this approach was adopted to engineer the upstream co-culture strain.…”
Section: Resultsmentioning
confidence: 99%
“…Secondly, assembling catalytic enzymes to rewire the endogenous flux towards metabolic targets is commonly employed to achieve prototype success of target products from 0 to 1, namely pathway construction. Further optimization leveraging static regulation, mainly refers to bypass deletion and flux tuning, and dynamic regulation [96] allowing gene expression control over time and levels, is a proven strategy to generate significant breakthrough from 1 to 100. Thirdly, a rigorous scale-up test including medium and feeding strategy optimization can obtain iterative bioprocess of refinement.…”
Section: Metabolic Engineering In Halomonas Sppmentioning
confidence: 99%