ArticleiScience2020
Extended Metabolic Biosensor Design for Dynamic Pathway Regulation of Cell Factories.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- An Experimentally Verified Mechanistic Model for Predicting Quorum Sensing-Based Switches.Microbial biotechnology · 2026Article
- Bacterial gene regulatory neural network as a biocomputing library of mathematical solvers.NPJ systems biology and applications · 2026Article
- Real-Time Tracking of Intracellular Prenyl Phosphate Pools in the Marine DiatomACS synthetic biology · 2026Article
- Engineering and Application of Biosensors for Aromatic Compounds Production inMicroorganisms · 2025Review
- Challenges and Opportunities in Smart Biosensing for Biomanufacturing.ACS synthetic biology · 2025Review
- Nature's laboratory: plant metabolic engineering methods using phenylpropanoids as a case study.Biotechnology for biofuels and bioproducts · 2025Review
- Synthetic biology design principles enable efficient bioproduction of Heparosan with low molecular weight and low polydispersion index for the biomedical industry.Synthetic biology (Oxford, England) · 2025Article
- Maleylpyruvic Acid-Inducible Gene Expression System and Its Application for the Development of Gentisic Acid Biosensors.Analytical chemistry · 2024Article
- DetSpace: a web server for engineering detectable pathways for bio-based chemical production.Nucleic acids research · 2024Article
- Applications of artificial intelligence and machine learning in dynamic pathway engineering.Biochemical Society transactions · 2023Review
- Noise properties of adaptation-conferring biochemical control modules.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Regulation strategies for two-output biomolecular networks.Journal of the Royal Society, Interface · 2023Article
- MoBioS: Modular Platform Technology for High-Throughput Construction and Characterization of Tunable Transcriptional Biological Sensors.Biosensors · 2023Article
- Transcription factor-based biosensors for screening and dynamic regulation.Frontiers in bioengineering and biotechnology · 2023Review
- AACS synthetic biology · 2022Article
- Modeling and Optimization of a Molecular Biocontroller for the Regulation of Complex Metabolic Pathways.Frontiers in molecular biosciences · 2022Article
- Light-mediated control of gene expression in the anoxygenic phototrophic bacteriumFrontiers in bioengineering and biotechnology · 2022Article
- Intelligent host engineering for metabolic flux optimisation in biotechnology.The Biochemical journal · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcription factor-based biosensors naturally occur in metabolic pathways to maintain cell growth and to provide a robust response to environmental fluctuations. Extended metabolic biosensors, i.e., the cascading of a bio-conversion pathway and a transcription factor (TF) responsive to the downstream effector metabolite, provide sensing capabilities beyond natural effectors for implementing context-aware synthetic genetic circuits and bio-observers. However, the engineering of such multi-step circuits is challenged by stability and robustness issues. In order to streamline the design of TF-based biosensors in metabolic pathways, here we investigate the response of a genetic circuit combining a TF-based extended metabolic biosensor with an antithetic integral circuit, a feedback controller that achieves robustness against environmental fluctuations. The dynamic response of an extended biosensor-based regulated flavonoid pathway is analyzed in order to address the issues of biosensor tuning of the regulated pathway under industrial biomanufacturing operating constraints.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.