ReviewJournal of industrial microbiology & biotechnology2017
Tailor-made transcriptional biosensors for optimizing microbial cell factories.
Review in Journal of industrial microbiology & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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.
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Who cites it
45 citing papers in PubMed.
- A cumate-inducible promoter system for tuned gene expression and magnetosome overproduction in magnetotactic bacteria.Applied microbiology and biotechnology · 2026Article
- Tailoring Corynebacterium glutamicum for Sustainable Biomanufacturing: From Traditional to Cutting-Edge Technologies.Molecular biotechnology · 2026Review
- Engineering Allosteric Transcription Factor-Based Biosensors: Advances and Prospects for Modern Food Contaminant Monitoring.Foods (Basel, Switzerland) · 2026Review
- Biosensors for Cancer and Inflammation: Whole-Cell Biosensors for Soluble Molecules.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Active learning-guided optimization of cell-free biosensors for lead testing in drinking water.Nature communications · 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
- Strength in diversity: unlocking the full potential of engineered living materials with multistrain collaboration.FEMS microbiology reviews · 2025Review
- Computation-guided transcription factor biosensor specificity engineering for adipic acid detection.Computational and structural biotechnology journal · 2024Article
- Genetically encoded biosensors for the circular plastics bioeconomy.Metabolic engineering communications · 2024Article
- Fundamentals and Exceptions of the LysR-type Transcriptional Regulators.ACS synthetic biology · 2024Review
- Delaying production with prokaryotic inducible expression systems.Microbial cell factories · 2024Review
- Directed Evolution of 4-Hydroxyphenylpyruvate Biosensors Based on a Dual Selection System.International journal of molecular sciences · 2024Article
- Advances in ligand-specific biosensing for structurally similar molecules.Cell systems · 2023Review
- Standardization of Fluorescent Reporter Assays in Synthetic Biology across the Visible Light Spectrum.ACS synthetic biology · 2023Article
- Advances in the dynamic control of metabolic pathways inEngineering microbiology · 2023Review
- Divergent directed evolution of a TetR-type repressor towards aromatic molecules.Nucleic acids research · 2023Article
- MoBioS: Modular Platform Technology for High-Throughput Construction and Characterization of Tunable Transcriptional Biological Sensors.Biosensors · 2023Article
- Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors.Biosensors · 2023Review
- Precision engineering of biological function with large-scale measurements and machine learning.PloS one · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring cellular behavior and eventually properly adapting cellular processes is key to handle the enormous complexity of today's metabolic engineering questions. Hence, transcriptional biosensors bear the potential to augment and accelerate current metabolic engineering strategies, catalyzing vital advances in industrial biotechnology. The development of such transcriptional biosensors typically starts with exploring nature's richness. Hence, in a first part, the transcriptional biosensor architecture and the various modi operandi are briefly discussed, as well as experimental and computational methods and relevant ontologies to search for natural transcription factors and their corresponding binding sites. In the second part of this review, various engineering approaches are reviewed to tune the main characteristics of these (natural) transcriptional biosensors, i.e., the response curve and ligand specificity, in view of specific industrial biotechnology applications, which is illustrated using success stories of transcriptional biosensor engineering.
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Identifiers
27837353What OpenQuestion holds
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.