ReviewCurrent opinion in biotechnology2014
Bacterial growth: global effects on gene expression, growth feedback and proteome partition.
Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
112 citing papers in PubMed, 226 citations in OpenAlex.
- Article
- Engineering microbial consortia for distributed signal processing.Nature communications · 2026Article
- Machine learning reveals proteome-encoded growth determinants underlying metabolic versatility ofmSystems · 2026Article
- EngineeringBiomolecules · 2026Article
- Growth control as a central regulator for tuning the cellular context.Journal of biological engineering · 2026Article
- Mechanistic two-pathway modeling of substrate inhibition in lactic acid bacteria for enhanced fermentation control.Quantitative biology (Beijing, China) · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Modeling Growth-Mediated Dilution in Synthetic Circuits: Effects of Circuit Topology and Phase Separation.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions.Computational and structural biotechnology journal · 2026Article
- Feedback Control and Sensitivity Analysis in Synthetic Gene Circuits.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Article
- Bistability in type I toxin-antitoxin systems may lead to stress-induced persister formation.NPJ systems biology and applications · 2025Article
- Machine Learning Reveals Proteome-Encoded Growth Predictors ofbioRxiv : the preprint server for biology · 2025Article
- Data-driven analysis reveals distinct genomic and environmental contributions to bacterial growth curves.Scientific reports · 2025Article
- Understanding the development of bacterial colony: Physiology, new technology, and modeling.Quantitative biology (Beijing, China) · 2025Review
- Increased Expression of Bacterial Cellulose Synthase Genes inBiomacromolecules · 2025Article
- Systematic modulation of bacterial resource allocation by perturbing RNA polymerase availability via synthetic transcriptional switches.Nucleic acids research · 2025Article
- Population Dynamics of Escherichia coli Growing under Chemically Defined Media.Scientific data · 2025Article
- Article
- Resource competition-driven bistability and stochastic switching amplify gene expression noise.PLoS computational biology · 2025Article
52 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
2 authors at 2 institutions in 2 countries.
Funding
Abstract
The function of endogenous as well as synthetic genetic circuits is generically coupled to the physiological state of the cell. For exponentially growing bacteria, a key characteristic of the state of the cell is the growth rate and thus gene expression is often growth-rate dependent. Here we review recent results on growth-rate dependent gene expression. We distinguish different types of growth-rate dependencies by the mechanisms of regulation involved and the presence or absence of an effect of the gene product on growth. The latter can lead to growth feedback, feedback mediated by changes of the global state of the cell. Moreover, we discuss how growth rate dependence can be used as a guide to study the molecular implementation of physiological regulation.
Indexed as
Identifiers
What 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.