ArticleProceedings of the National Academy of Sciences of the United States of America2022
Dynamic gene expression and growth underlie cell-to-cell heterogeneity in
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed, 88 citations in OpenAlex.
- Harnessing microfluidics for microbiology: from bacteria-host interactions to emerging cancer therapies.Communications biology · 2026Review
- Heterogeneity in microbial antibiotic responses: genetic basis and within-host evolution.Trends in genetics : TIG · 2026Review
- Phenotypic plasticity trade-offs in an age-structured model of bacterial growth under stress.Journal of mathematical biology · 2026Article
- Dynamic heterogeneity in an E. coli stress response regulon mediates gene activation and antimicrobial peptide tolerance.Cell reports · 2026Article
- Overriding Bioprocess Perturbations With a Cell-Machine Interface for Reliable Microbial Stress-Response Control.Microbial biotechnology · 2026Article
- Article
- Stress-Driven Tolerance and Persistence ofBiology · 2026Review
- Unstressed cells are alike, but stressed cells differ: Environmental and single-cell heterogeneity in yeast stress responses.bioRxiv : the preprint server for biology · 2026Article
- Suppression of bacterial cell death underlies the antagonistic interaction between ciprofloxacin and tetracycline.Molecular systems biology · 2026Article
- Article
- Increased Expression of Bacterial Cellulose Synthase Genes inBiomacromolecules · 2025Article
- Dissecting microbial communities with single-cell transcriptome analysis.Science (New York, N.Y.) · 2025Review
- Genomic Markers Distinguishing Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2025Article
- Evaluating the predictive power of combined gene expression dynamics from single cells on antibiotic survival.mSystems · 2025Article
- Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.PLoS computational biology · 2025Article
- Pulsatile basal gene expression as a fitness determinant in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Persistent glucose consumption under antibiotic treatment protects bacterial community.Nature chemical biology · 2025Article
- Highly multiplexed spatial transcriptomics in bacteria.Science (New York, N.Y.) · 2025Article
- Single-cell data reveal heterogeneity of investment in ribosomes across a bacterial population.Nature communications · 2025Article
- Towards high-accuracy bacterial taxonomy identification using phenotypic single-cell Raman spectroscopy data.ISME communications · 2025Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Cell-to-cell heterogeneity in gene expression and growth can have critical functional consequences, such as determining whether individual bacteria survive or die following stress. Although phenotypic variability is well documented, the dynamics that underlie it are often unknown. This information is important because dramatically different outcomes can arise from gradual versus rapid changes in expression and growth. Using single-cell time-lapse microscopy, we measured the temporal expression of a suite of stress-response reporters in Escherichia coli, while simultaneously monitoring growth rate. In conditions without stress, we found several examples of pulsatile expression. Single-cell growth rates were often anticorrelated with reporter levels, with changes in growth preceding changes in expression. These dynamics have functional consequences, which we demonstrate by measuring survival after challenging cells with the antibiotic ciprofloxacin. Our results suggest that fluctuations in both gene expression and growth dynamics in stress-response networks have direct consequences on survival.
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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 Socratic graph.