ReviewBiotechnology advances
Fine-tuning gene expression for improved biosynthesis of natural products: From transcriptional to post-translational regulation.
Review in Biotechnology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 39 citations in OpenAlex.
- N-terminal fusion length: The key to reliable and context-preserving regulatory sequence characterization.Synthetic and systems biotechnology · 2027Article
- Design of a Novel Diamine Biosensor to Guide the Engineering of Escherichia coli for Cadaverine Overproduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Hybrid CNN and multi-head attention model for analyzing epigenetic mechanisms and gene expression across fungal phylogenetic distances.iScience · 2026Article
- A multi-tetracycline responsive induction system for gene expression inApplied and environmental microbiology · 2026Article
- Article
- Development of precise genome editing and multi-copy integration tools inSynthetic and systems biotechnology · 2025Article
- A Multi-Tetracycline Responsive Induction System for Gene Expression inbioRxiv : the preprint server for biology · 2025Article
- Engineering genetic circuits for dynamic control of central metabolism.Metabolic engineering · 2025Article
- Network-based identification of hub transcription factors associated with benzylisoquinoline alkaloid biosynthesis inBiochemistry and biophysics reports · 2025Article
- De novo promoter design method based on deep generative and dynamic evolution algorithm.Nucleic acids research · 2025Article
- Expanding the Yeast MoClo Toolkit: gene expression control parts forSynthetic biology (Oxford, England) · 2025Article
- Automated characterization and analysis of expression compatibility between regulatory sequences and metabolic genes inSynthetic and systems biotechnology · 2024Article
- Data-driven learning of structure augments quantitative prediction of biological responses.PLoS computational biology · 2024Article
- Concentration Recognition-Based Auto-Dynamic Regulation System (CRUISE) Enabling Efficient Production of Higher Alcohols.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Utilizing 5' UTR Engineering Enables Fine-Tuning of Multiple Genes within Operons to Balance Metabolic Flux inBiology · 2024Article
- A self-regulated network for dynamically balancing multiple precursors in complex biosynthetic pathways.Metabolic engineering · 2024Article
- Fine-Tuning Gene Expression in Bacteria by Synthetic Promoters.Methods in molecular biology (Clifton, N.J.) · 2024Article
- The expanded CRISPR toolbox for constructing microbial cell factories.Trends in biotechnology · 2024Review
- Dynamic Metabolic Control: From the Perspective of Regulation Logic.Synthetic biology and engineering · 2023Article
- Identifying, Characterizing, and Engineering a Phenolic Acid-Responsive Transcriptional Factor fromACS synthetic biology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Microbial production of natural compounds has attracted extensive attention due to their high value in pharmaceutical, cosmetic, and food industries. Constructing efficient microbial cell factories for biosynthesis of natural products requires the fine-tuning of gene expressions to minimize the accumulation of toxic metabolites, reduce the competition between cell growth and product generation, as well as achieve the balance of redox or co-factors. In this review, we focus on recent advances in fine-tuning gene expression at the DNA, RNA, and protein levels to improve the microbial biosynthesis of natural products. Commonly used regulatory toolsets in each level are discussed, and perspectives for future direction in this area are provided.
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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.