ReviewFrontiers in bioengineering and biotechnology2021
Transcription Factor-Based Biosensor for Dynamic Control in Yeast for Natural Product Synthesis.
Review in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Design of strictly orthogonal biosensors for maximizing renewable biofuel overproduction.Journal of advanced research · 2026Article
- Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology.Biosensors · 2025Review
- Review
- Directed Evolution of 4-Hydroxyphenylpyruvate Biosensors Based on a Dual Selection System.International journal of molecular sciences · 2024Article
- Four ways of implementing robustness quantification in strain characterisation.Biotechnology for biofuels and bioproducts · 2023Article
- Advances in the dynamic control of metabolic pathways inEngineering microbiology · 2023Review
- AACS synthetic biology · 2022Article
- Engineering for life in toxicity: Key to industrializing microbial synthesis of high energy density fuels.Engineering microbiology · 2022Review
- Engineering of Synthetic Transcriptional Switches in Yeast.Life (Basel, Switzerland) · 2022Review
- Development and characterization of a glycine biosensor system for fine-tuned metabolic regulation in Escherichia coli.Microbial cell factories · 2022Article
- Effective use of biosensors for high-throughput library screening for metabolite production.Journal of industrial microbiology & biotechnology · 2021Review
- Real-Time Monitoring of the Yeast Intracellular State During Bioprocesses With a Toolbox of Biosensors.Frontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The synthesis of natural products in yeast has gained remarkable achievements with intensive metabolic engineering efforts. In particular, transcription factor (TF)-based biosensors for dynamic control of gene circuits could facilitate strain evaluation, high-throughput screening (HTS), and adaptive laboratory evolution (ALE) for natural product synthesis. In this review, we summarized recent developments of several TF-based biosensors for core intermediates in natural product synthesis through three important pathways, i.e., fatty acid synthesis pathway, shikimate pathway, and methylerythritol-4-phosphate (MEP)/mevalonate (MVA) pathway. Moreover, we have shown how these biosensors are implemented in synthetic circuits for dynamic control of natural product synthesis and also discussed the design/evaluation principles for improved biosensor performance.
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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.