ArticleCurrent biology : CB2010
Robust growth of Escherichia coli.
Article in Current biology : CB, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 501 papers.
What it found
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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.
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.
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Who cites it
501 citing papers in PubMed.
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- Seeing Bacterial Persistence Through Different Experimental Lenses: How Methodology Shapes Biological Interpretation.Pathogens (Basel, Switzerland) · 2026Review
- Sequence-free landscape inference for directed evolution.PLoS computational biology · 2026Article
- Mixed positive and negative feedback loops drive diverse single-cell gene expression dynamics.Nature communications · 2026Article
- Cellular scale search and funneling drive bacterial penetration of extreme confinements.Communications physics · 2026Article
- Amplification of computational power by the multiplication of bacteria exploring microfluidic networks encoding mathematical problems.Microsystems & nanoengineering · 2026Article
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- Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Fast, StreamlinedChemical & biomedical imaging · 2026Article
- A microfluidic hollow-fiber infection model (µHFIM): monitoring bacterial response to dynamic drug treatment with single-cell resolution.Microsystems & nanoengineering · 2026Article
- A coma pattern-based autofocusing method resolves bacterial cold shock response at single-cell level.eLife · 2026Article
- Evolution of the highest fidelity DNA replication systems.bioRxiv : the preprint server for biology · 2026Article
- EDTA suppresses bacterial perseverance to 2-phenoxyethanol.Microbiology spectrum · 2026Article
- Periplasmic detoxification of urate hydroperoxide underpinsbioRxiv : the preprint server for biology · 2026Article
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- Cell Growth and Division Shape mRNA-Protein Correlations.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal characterization of single-stranded DNA intermediates after UV irradiation: II. Rapid growth and effects of recA and recJ.PLoS genetics · 2026Article
441 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The quantitative study of the cell growth has led to many fundamental insights in our understanding of a wide range of subjects, from the cell cycle to senescence. Of particular importance is the growth rate, whose constancy represents a physiological steady state of an organism. Recent studies, however, suggest that the rate of elongation during exponential growth of bacterial cells decreases cumulatively with replicative age for both asymmetrically and symmetrically dividing organisms, implying that a "steady-state" population consists of individual cells that are never in a steady state of growth. To resolve this seeming paradoxical observation, we studied the long-term growth and division patterns of Escherichia coli cells by employing a microfluidic device designed to follow steady-state growth and division of a large number of cells at a defined reproductive age. Our analysis of approximately 10(5) individual cells reveals a remarkable stability of growth whereby the mother cell inherits the same pole for hundreds of generations. We further show that death of E. coli is not purely stochastic but is the result of accumulating damages. We conclude that E. coli, unlike all other aging model systems studied to date, has a robust mechanism of growth that is decoupled from cell death.
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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.