ArticleACS synthetic biology2020
Development of High-Performance Whole Cell Biosensors Aided by Statistical Modeling.
Article in ACS synthetic biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Evolution of Whole-Cell Biosensor Detection Technology for PAHs and Their Halogenated Derivatives Driven by Performance Requirements.Biosensors · 2026Review
- Microfluidic-Based Whole-Cell Biosensor Systems-Challenges and Future Applications.Biosensors · 2026Review
- Efflux pump knockout minimizes crosstalk and boosts response in transcription factor-based biosensors.Journal of biological engineering · 2025Article
- Challenges and Opportunities in Smart Biosensing for Biomanufacturing.ACS synthetic biology · 2025Review
- A Review on the Application of Biosensors for Monitoring Emerging Contaminants in the Water Environment.Sensors (Basel, Switzerland) · 2025Review
- Context-Aware Biosensor Design Through Biology-Guided Machine Learning and Dynamical Modeling.ACS synthetic biology · 2025Article
- Customization of Ethylene Glycol (EG)-Induced BmoR-Based Biosensor for the Directed Evolution of PET Degrading Enzymes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Tuning the performance of a TphR-based terephthalate biosensor with a design of experiments approach.Metabolic engineering communications · 2024Article
- Genetically encoded biosensors for the circular plastics bioeconomy.Metabolic engineering communications · 2024Article
- Disentangling the Regulatory Response ofACS synthetic biology · 2024Article
- Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology.Biodesign research · 2024Article
- Review
- Sustainable biosynthetic pathways to value-added bioproducts from hydroxycinnamic acids.Applied microbiology and biotechnology · 2023Review
- Advances in Synthetic-Biology-Based Whole-Cell Biosensors: Principles, Genetic Modules, and Applications in Food Safety.International journal of molecular sciences · 2023Review
- Transcription factor-based biosensors for screening and dynamic regulation.Frontiers in bioengineering and biotechnology · 2023Review
- Nanotechnology-Enabled Biosensors: A Review of Fundamentals, Design Principles, Materials, and Applications.Biosensors · 2022Review
- Genetically Encoded Whole Cell Biosensor for Drug Discovery of HIF-1 Interaction Inhibitors.ACS synthetic biology · 2022Article
- Restoration of the Indicator Properties of Whole-cell Luminescent Biosensors.Applied biochemistry and biotechnology · 2022Article
- A Recombinase-Based Genetic Circuit for Heavy Metal Monitoring.Biosensors · 2022Article
- Key reaction components affect the kinetics and performance robustness of cell-free protein synthesis reactions.Computational and structural biotechnology journal · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Whole cell biosensors are genetic systems that link the presence of a chemical, or other stimulus, to a user-defined gene expression output for applications in sensing and control. However, the gene expression level of biosensor regulatory components required for optimal performance is nonintuitive, and classical iterative approaches do not efficiently explore multidimensional experimental space. To overcome these challenges, we used a design of experiments (DoE) methodology to efficiently map gene expression levels and provide biosensors with enhanced performance. This methodology was applied to two biosensors that respond to catabolic breakdown products of lignin biomass, protocatechuic acid and ferulic acid. Utilizing DoE we systematically modified biosensor dose-response behavior by increasing the maximum signal output (up to 30-fold increase), improving dynamic range (>500-fold), expanding the sensing range (∼4-orders of magnitude), increasing sensitivity (by >1500-fold), and modulated the slope of the curve to afford biosensors designs with both digital and analogue dose-response behavior. This DoE method shows promise for the optimization of regulatory systems and metabolic pathways constructed from novel, poorly characterized parts.
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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.