ReviewFrontiers in bioengineering and biotechnology2020
Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review.
Review in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
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Who cites it
21 citing papers in PubMed.
- Functional characterization of HMG_9 and CMicrobial cell factories · 2026Article
- Development of Metabolite-Responsive Transcription Factor Systems as Modular Platforms for Gene Expression Control.Biosensors · 2025Article
- AraR Transcription Factor Affects the Sugar Metabolism and Acid Tolerance ofFoods (Basel, Switzerland) · 2025Article
- Computation-guided redesign of promoter specificity of a bacterial RNA polymerase.bioRxiv : the preprint server for biology · 2025Article
- Highly multiplexed design of an allosteric transcription factor to sense new ligands.Nature communications · 2024Article
- Engineering a cell-free biosensor signal amplification circuit with polymerase strand recycling.bioRxiv : the preprint server for biology · 2024Article
- Automated in vivo enzyme engineering accelerates biocatalyst optimization.Nature communications · 2024Review
- Highly multiplexed design of an allosteric transcription factor to sense novel ligands.bioRxiv : the preprint server for biology · 2024Article
- Regulatory microRNAs and phasiRNAs of paclitaxel biosynthesis inFrontiers in plant science · 2024Article
- Genetically Encoded Biosensor Engineering for Application in Directed Evolution.Journal of microbiology and biotechnology · 2023Review
- Inducible plasmid copy number control for synthetic biology in commonly used E. coli strains.Nature communications · 2022Article
- A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- High-throughput screening of cell-free riboswitches by fluorescence-activated droplet sorting.Nucleic acids research · 2022Article
- Identification and characterization of L- and D-lactate-inducible systems from Escherichia coli MG1655, Cupriavidus necator H16 and Pseudomonas species.Scientific reports · 2022Article
- Sensory Systems and Transcriptional Regulation inFrontiers in bioengineering and biotechnology · 2022Review
- Highly Valuable Polyunsaturated Fatty Acids from Microalgae: Strategies to Improve Their Yields and Their Potential Exploitation in Aquaculture.Molecules (Basel, Switzerland) · 2021Review
- Intelligent host engineering for metabolic flux optimisation in biotechnology.The Biochemical journal · 2021Review
- A small-molecule chemical interface for molecular programs.Nucleic acids research · 2021Article
- Nanoparticle-based fluorescence probe for detection of NF-κB transcription factor in single cell via steric hindrance.Mikrochimica acta · 2021Article
- Cell-based high-throughput screening of polysaccharide biosynthesis hosts.Microbial cell factories · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic regulation of gene expression for the microbial production of fine chemicals, such as organic acids, is an important research topic in post-genomic metabolic engineering. In particular, the ability of transcription factors (TFs) to respond precisely in time and space to various small molecules, signals and stimuli from the internal and external environment is essential for metabolic pathway engineering and strain development. As a key component, TFs are used to construct many 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.