ArticleProceedings of the National Academy of Sciences of the United States of America2012
Reconciling molecular regulatory mechanisms with noise patterns of bacterial metabolic promoters in induced and repressed states.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 71 citations in OpenAlex.
- Bacterial Sentience Is Determined by the Stochastic, Chaotic, and Deterministic Behavior of Cytoplasmic Particles.Current issues in molecular biology · 2026Review
- Response and adaptation of the transcriptional heat shock response to pressure.Frontiers in microbiology · 2024Article
- Effects of microRNA-mediated negative feedback on gene expression noise.Biophysical journal · 2023Article
- BurstDECONV: a signal deconvolution method to uncover mechanisms of transcriptional bursting in live cells.Nucleic acids research · 2023Article
- Cell Growth Model with Stochastic Gene Expression Helps Understand the Growth Advantage of Metabolic Exchange and Auxotrophy.mSystems · 2021Article
- Microbial metabolic noise.WIREs mechanisms of disease · 2021Review
- Of numbers and movement - understanding transcription factor pathogenesis by advanced microscopy.Disease models & mechanisms · 2020Review
- Bacterial Vivisection: How Fluorescence-Based Imaging Techniques Shed a Light on the Inner Workings of Bacteria.Microbiology and molecular biology reviews : MMBR · 2020Review
- Extrinsic noise prevents the independent tuning of gene expression noise and protein mean abundance in bacteria.Science advances · 2020Article
- G1/S transcription factors assemble in increasing numbers of discrete clusters through G1 phase.The Journal of cell biology · 2020Article
- Article
- Transcriptional Bursting and Co-bursting Regulation by Steroid Hormone Release Pattern and Transcription Factor Mobility.Molecular cell · 2019Article
- Deciphering noise amplification and reduction in open chemical reaction networks.Journal of the Royal Society, Interface · 2018Article
- Scanning number and brightness yields absolute protein concentrations in live cells: a crucial parameter controlling functional bio-molecular interaction networks.Biophysical reviews · 2018Review
- High pressure activation of the Mrr restriction endonuclease in Escherichia coli involves tetramer dissociation.Nucleic acids research · 2017Article
- A part toolbox to tune genetic expression in Bacillus subtilis.Nucleic acids research · 2016Article
- Translation elicits a growth rate-dependent, genome-wide, differential protein production in Bacillus subtilis.Molecular systems biology · 2016Article
- Addressing biological uncertainties in engineering gene circuits.Integrative biology : quantitative biosciences from nano to macro · 2016Review
- Tackling Drug Resistant Infection Outbreaks of Global Pandemic Escherichia coli ST131 Using Evolutionary and Epidemiological Genomics.Microorganisms · 2015Review
- The utility of simple mathematical models in understanding gene regulatory dynamics.In silico biology · 2015Review
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessing gene expression noise in order to obtain mechanistic insights requires accurate quantification of gene expression on many individual cells over a large dynamic range. We used a unique method based on 2-photon fluorescence fluctuation microscopy to measure directly, at the single cell level and with single-molecule sensitivity, the absolute concentration of fluorescent proteins produced from the two Bacillus subtilis promoters that control the switch between glycolysis and gluconeogenesis. We quantified cell-to-cell variations in GFP concentrations in reporter strains grown on glucose or malate, including very weakly transcribed genes under strong catabolite repression. Results revealed strong transcriptional bursting, particularly for the glycolytic promoter. Noise pattern parameters of the two antagonistic promoters controlling the nutrient switch were differentially affected on glycolytic and gluconeogenic carbon sources, discriminating between the different mechanisms that control their activity. Our stochastic model for the transcription events reproduced the observed noise patterns and identified the critical parameters responsible for the differences in expression profiles of the promoters. The model also resolved apparent contradictions between in vitro operator affinity and in vivo repressor activity at these promoters. Finally, our results demonstrate that negative feedback is not noise-reducing in the case of strong transcriptional bursting.
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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.