ReviewApplied microbiology and biotechnology2016
Transcription factor-based biosensors in biotechnology: current state and future prospects.
Review in Applied microbiology and biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.
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Who cites it
100 citing papers in PubMed, 222 citations in OpenAlex.
- The Fragmented Nature of Biosensor Development: Challenges and Paths to Mitigation.Biosensors · 2026Review
- Rare-codon-tuned fluorescent biosensor for high-throughput selection of Escherichia coli strain capable of L-arginine overproduction.BMC microbiology · 2026Article
- Article
- Development of Metabolite-Responsive Transcription Factor Systems as Modular Platforms for Gene Expression Control.Biosensors · 2025Article
- Engineering an AlkS-PalkB Transcription Factor-Based Biosensor With Improved Sensitivity to Isobutanol and Other Short-Chain Alcohols.Microbial biotechnology · 2025Article
- AraR Transcription Factor Affects the Sugar Metabolism and Acid Tolerance ofFoods (Basel, Switzerland) · 2025Article
- Challenges and Opportunities in Smart Biosensing for Biomanufacturing.ACS synthetic biology · 2025Review
- Modular and signal-responsive transcriptional regulation using CRISPRi-aided genetic switches in Escherichia coli.Journal of biological engineering · 2025Article
- A cell-free biosensor signal amplification circuit with polymerase strand recycling.Nature chemical biology · 2025Article
- Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology.Biosensors · 2025Review
- Combining biosensor and metabolic network optimization strategies for enhanced L-threonine production in Escherichia coli.Biotechnology for biofuels and bioproducts · 2025Article
- Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors.ACS synthetic biology · 2025Review
- Cell-free biosensor with automated acoustic liquid handling for rapid and scalable characterization of cellobiohydrolases on microcrystalline cellulose.Synthetic biology (Oxford, England) · 2025Article
- Biosensor characterization: formal methods from the perspective of proteome fractions.Synthetic biology (Oxford, England) · 2025Article
- Engineering conditional protein-protein interactions for dynamic cellular control.Biotechnology advances · 2024Review
- Highly multiplexed design of an allosteric transcription factor to sense new ligands.Nature communications · 2024Article
- High Throughput Screening of Transcription Factor LysG for Constructing a Better Lysine Biosensor.Biosensors · 2024Article
- Ultrasensitive Electrochemical Biosensors Based on Allosteric Transcription Factors (aTFs) for PbBiosensors · 2024Article
- Conducting polymer hydrogels for biomedical application: Current status and outstanding challenges.APL bioengineering · 2024Review
- Engineering of a Substrate Affinity Reduced S-Adenosyl-methionine Synthetase as a Novel Biosensor for Growth-Coupling Selection of L-Methionine Overproducers.Applied biochemistry and biotechnology · 2024Article
40 more citing papers are in PubMed but not listed here.
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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
Living organisms have evolved a plethora of sensing systems for the intra- and extracellular detection of small molecules, ions or physical parameters. Several recent studies have demonstrated that these principles can be exploited to devise synthetic regulatory circuits for metabolic engineering strategies. In this context, transcription factors (TFs) controlling microbial physiology at the level of transcription play a major role in biosensor design, since they can be implemented in synthetic circuits controlling gene expression in dependency of, for example, small molecule production. Here, we review recent progress on the utilization of TF-based biosensors in microbial biotechnology highlighting different areas of application. Recent advances in metabolic engineering reveal TF-based sensors to be versatile tools for strain and enzyme development using high-throughput (HT) screening strategies and adaptive laboratory evolution, the optimization of heterologous pathways via the implementation of dynamic control circuits and for the monitoring of single-cell productivity in live cell imaging studies. These examples underline the immense potential of TF-based biosensor circuits but also identify limitations and room for further optimization.
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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.