ArticleMetabolic engineering2017
Assessing glycolytic flux alterations resulting from genetic perturbations in E. coli using a biosensor.
Article in Metabolic engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Engineering genetic circuits for dynamic control of central metabolism.Metabolic engineering · 2025Article
- Insights into the regulatory mechanisms and application prospects of the transcription factor Cra.Applied and environmental microbiology · 2024Review
- Metabolome and proteome analyses reveal transcriptional misregulation in glycolysis of engineered E. coli.Nature communications · 2021Article
- Recent trends in biocatalysis.Chemical Society reviews · 2021Review
- Article
- Pyruvate-responsive genetic circuits for dynamic control of central metabolism.Nature chemical biology · 2020Article
- Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor.Molecular systems biology · 2019Article
- A protocatechuate biosensor forMetabolic engineering communications · 2018Article
- Synthetic addiction extends the productive life time of engineeredProceedings of the National Academy of Sciences of the United States of America · 2018Article
- Enhanced Metabolite Productivity ofFrontiers in bioengineering and biotechnology · 2018Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe the development of an optimized glycolytic flux biosensor and its application in detecting altered flux in a production strain and in a mutant library. The glycolytic flux biosensor is based on the Cra-regulated ppsA promoter of E. coli controlling fluorescent protein synthesis. We validated the glycolytic flux dependency of the biosensor in a range of different carbon sources in six different E. coli strains and during mevalonate production. Furthermore, we studied the flux-altering effects of genome-wide single gene knock-outs in E. coli in a multiplex FlowSeq experiment. From a library consisting of 2126 knock-out mutants, we identified 3 mutants with high-flux and 95 mutants with low-flux phenotypes that did not have severe growth defects. This approach can improve our understanding of glycolytic flux regulation improving metabolic models and engineering efforts.
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Registered trials
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