ArticleNature communications2020
Engineering regulatory networks for complex phenotypes in E. coli.
Article in Nature communications, 2020. 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.
- Design of a Novel Diamine Biosensor to Guide the Engineering of Escherichia coli for Cadaverine Overproduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Polyhydroxybutyrate (PHB) production from halophiles: a comprehensive review.Bioresources and bioprocessing · 2026Review
- A self-iterative orthogonal base-editing platform enables multiplex N-to-N diversification and genome-scale functional screening in Escherichia coli.Nucleic acids research · 2026Article
- Adaptive cargo deletion as an evolutionary dead-end during phage-based directed evolution.BMC research notes · 2026Article
- Functional Analysis of CRISPR-Cas9-Mediated Gene Deletion inMicroorganisms · 2026Article
- Multilayered regulation by RNA thermometers enables precise control of Cas9 expression in E. coli.Nucleic acids research · 2026Article
- Integrating synthetic biology and process engineering for enhanced isobutanol biosynthesis yield and sustainability.Biotechnology for biofuels and bioproducts · 2026Review
- Advances in natural product discovery: strategies, technologies, and insights.Natural products and bioprospecting · 2026Review
- Unveiling the landscape of prokaryotic global regulators through deep protein language models.mSystems · 2025Article
- Combing Directed Enzyme Evolution with Metabolic Engineering to Develop Efficient Microbial Cell Factories.Chem & bio engineering · 2025Review
- SELECT: high-precision genome editing strategy via integration of CRISPR-Cas and DNA damage response for cross-species applications.Nucleic acids research · 2025Article
- Article
- Base editor-mediated large-scale screening of functional mutations in bacteria for industrial phenotypes.Science China. Life sciences · 2024Article
- Expanding the flexibility of base editing for high-throughput genetic screens in bacteria.Nucleic acids research · 2024Article
- Biosynthesis pathways of expanding carbon chains for producing advanced biofuels.Biotechnology for biofuels and bioproducts · 2023Review
- Hypermutation of specific genomic loci of Pseudomonas putida for continuous evolution of target genes.Microbial biotechnology · 2022Article
- CRISPR signal conductor 2.0 for redirecting cellular information flow.Cell discovery · 2022Article
- Editorial: Microorganisms for Consolidated 2nd Generation Biorefining.Frontiers in microbiology · 2022Article
- Antibiotic tolerance is associated with a broad and complex transcriptional response in E. coli.Scientific reports · 2021Article
- Genome-Scale Screening and Combinatorial Optimization of Gene Overexpression Targets to Improve Cadmium Tolerance inFrontiers in microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regulatory networks describe the hierarchical relationship between transcription factors, associated proteins, and their target genes. Regulatory networks respond to environmental and genetic perturbations by reprogramming cellular metabolism. Here we design, construct, and map a comprehensive regulatory network library containing 110,120 specific mutations in 82 regulators expected to perturb metabolism. We screen the library for different targeted phenotypes, and identify mutants that confer strong resistance to various inhibitors, and/or enhanced production of target compounds. These improvements are identified in a single round of selection, showing that the regulatory network library is universally applicable and is convenient and effective for engineering targeted phenotypes. The facile construction and mapping of the regulatory network library provides a path for developing a more detailed understanding of global regulation in E. coli, with potential for adaptation and use in less-understood organisms, expanding toolkits for future strain engineering, synthetic biology, and broader efforts.
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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.