ReviewNature reviews. Genetics2020
Redefining fundamental concepts of transcription initiation in bacteria.
Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.
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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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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
98 citing papers in PubMed.
- High-resolution profiling of bacterial transcriptomes by SEnd-seq.The Biochemical journal · 2026Review
- Disentangling factors affecting bacterial transcriptional regulatory network inference.iScience · 2026Article
- Mutations in RNA polymerase that drive the emergence of antibiotic resistance.Current opinion in microbiology · 2026Review
- Core elements play distinct roles in promoter birth and transcriptional regulation.Nature communications · 2026Article
- Systems-level analysis predicts no autotrophy-linked protein-RNA interactions in Clostridium autoethanogenum.Nature communications · 2026Article
- The allostery principle supports the symbolic character of signaling circuits: gene regulation provides a form of intelligence to living systems.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
- Translation Inhibiting Antibiotics Induce an asRNA Regulating Purine Metabolism inbioRxiv : the preprint server for biology · 2026Article
- Design prokaryotic cis-regulatory elements using language model.Nucleic acids research · 2026Article
- Approaches for accelerating microbial gene function discovery using artificial intelligence.Nature microbiology · 2026Review
- A modular single- and dual-gene expression toolkit for Kluyveromyces marxianus.World journal of microbiology & biotechnology · 2026Article
- Bidirectional promoters in Escherichia coli: regulatory rules and implications for gene expression noise.Nucleic acids research · 2026Article
- Gene regulation inMicrobiology and molecular biology reviews : MMBR · 2025Review
- The EcoCyc database (2025).EcoSal Plus · 2025Review
- Unraveling the start element and regulatory divergence of core promoters across the domain bacteria.Nucleic acids research · 2025Article
- The -10 region adjacent to open reading frames is a common expression pattern inLife science alliance · 2025Article
- Translational coupling of neighboring genes in prokaryotes.Journal of bacteriology · 2025Review
- Predicting input signals of transcription factors in Escherichia coli.Molecular systems biology · 2025Article
- Virulence Regulation inMicroorganisms · 2025Review
- Formulation of Recombinant Therapeutic Proteins: Technological Innovation, Regulations, and Evolution Towards Buffer-Free Formulations.Pharmaceutics · 2025Review
- De novo promoter design method based on deep generative and dynamic evolution algorithm.Nucleic acids research · 2025Article
38 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Despite enormous progress in understanding the fundamentals of bacterial gene regulation, our knowledge remains limited when compared with the number of bacterial genomes and regulatory systems to be discovered. Derived from a small number of initial studies, classic definitions for concepts of gene regulation have evolved as the number of characterized promoters has increased. Together with discoveries made using new technologies, this knowledge has led to revised generalizations and principles. In this Expert Recommendation, we suggest precise, updated definitions that support a logical, consistent conceptual framework of bacterial gene regulation, focusing on transcription initiation. The resulting concepts can be formalized by ontologies for computational modelling, laying the foundation for improved bioinformatics tools, knowledge-based resources and scientific communication. Thus, this work will help researchers construct better predictive models, with different formalisms, that will be useful in engineering, synthetic biology, microbiology and genetics.
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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.