ReviewBiosensors2023
Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors.
Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Mapping the phenotypic landscape of a transcriptional repressor using deep mutational scanning and growth-based quantitative sequencing.Nucleic acids research · 2026Article
- Real-Time Tracking of Intracellular Prenyl Phosphate Pools in the Marine DiatomACS synthetic biology · 2026Article
- Exploring single-cell biosynthetic noise and dynamics for enhanced betaxanthin production in Escherichia coli.Nature communications · 2025Article
- Development of Metabolite-Responsive Transcription Factor Systems as Modular Platforms for Gene Expression Control.Biosensors · 2025Article
- Challenges and Opportunities in Smart Biosensing for Biomanufacturing.ACS synthetic biology · 2025Review
- Extending dynamic and operational range of the biosensor responding to l-carnitine by directed evolution.Synthetic and systems biotechnology · 2025Article
- Engineering genetic circuits for dynamic control of central metabolism.Metabolic engineering · 2025Article
- Engineered TtgR-Based Whole-Cell Biosensors for Quantitative and Selective Monitoring of Bioactive Compounds.Biosensors · 2025Article
- Establishing a Malonyl-CoA Biosensor for the Two Model CyanobacteriaACS synthetic biology · 2025Article
- Modular and signal-responsive transcriptional regulation using CRISPRi-aided genetic switches in Escherichia coli.Journal of biological engineering · 2025Article
- Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology.Biosensors · 2025Review
- Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors.ACS synthetic biology · 2025Review
- High throughput construction of species characterized bacterial biobank for functional bacteria screening: demonstration with GABA-producing bacteria.Frontiers in microbiology · 2025Article
- Insights into the regulatory mechanisms and application prospects of the transcription factor Cra.Applied and environmental microbiology · 2024Review
- AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors.Molecules (Basel, Switzerland) · 2024Review
- Directed Evolution of Protein-Based Sensors for Anaerobic Biological Activation of Methane.Biosensors · 2024Article
- Enhancing glucaric acid production fromApplied and environmental microbiology · 2024Article
- The Potential Harmful Effects of Genetically Engineered Microorganisms (GEMs) on the Intestinal Microbiome and Public Health.Microorganisms · 2024Review
- Genome-wide promoter responses to CRISPR perturbations of regulators reveal regulatory networks in Escherichia coli.Nature communications · 2023Article
- Diverse mechanisms of bioproduction heterogeneity in fermentation and their control strategies.Journal of industrial microbiology & biotechnology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Transcription factor (TF)-based biosensors are widely used for the detection of metabolites and the regulation of cellular pathways in response to metabolites. Several challenges hinder the direct application of TF-based sensors to new hosts or metabolic pathways, which often requires extensive tuning to achieve the optimal performance. These tuning strategies can involve transcriptional or translational control depending on the parameter of interest. In this review, we highlight recent strategies for engineering TF-based biosensors to obtain the desired performance and discuss additional design considerations that may influence a biosensor's performance. We also examine applications of these sensors and suggest important areas for further work to continue the advancement of small-molecule biosensors.
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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.