ReviewNature chemical biology2010
The role of physiological heterogeneity in microbial population behavior.
Review in Nature chemical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
128 citing papers in PubMed.
- Dual-BONCAT reveals distinct subpopulations of anabolically active cells.Applied and environmental microbiology · 2026Article
- Interplay between high-energy quenching and state transitions in Chlamydomonas reinhardtii: a single-cell approach.The New phytologist · 2026Article
- The arsenic proteome in cancer: Unravelling molecular mechanisms of anticancer drugs.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2026Review
- Scale-down bioreactors-comparative analysis of configurations.Bioprocess and biosystems engineering · 2025Review
- Relative Distribution of DnaA and DNA inInternational journal of molecular sciences · 2025Article
- Towards improved biofilm models.Nature reviews. Microbiology · 2025Review
- Evaluating phage lytic activity: from plaque assays to single-cell technologies.Frontiers in microbiology · 2025Review
- Article
- Navigating Host Immunity and Concurrent Ozone Stress: Strain-Resolved Metagenomics Reveals Maintenance of Intraspecific Diversity and Genetic Variation inEvolutionary applications · 2025Article
- Exploiting phenotypic heterogeneity to improve production of glutathione by yeast.Microbial cell factories · 2024Article
- Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction.Patterns (New York, N.Y.) · 2024Article
- A modular microfluidic platform to study how fluid shear stress alters estrogen receptor phenotype in ERMicrosystems & nanoengineering · 2024Article
- Single-cell patterning and characterisation of antibiotic persistent bacteria using bio-sCAPA.Lab on a chip · 2023Article
- Article
- A modular microfluidic platform to study how fluid shear stress alters estrogen receptor phenotype in ERResearch square · 2023Article
- High-Resolution Bacterial Cytological Profiling Reveals Intrapopulation Morphological Variations upon Antibiotic Exposure.Antimicrobial agents and chemotherapy · 2023Article
- Mid-Infrared Photothermal-Fluorescence In Situ Hybridization for Functional Analysis and Genetic Identification of Single Cells.Analytical chemistry · 2023Article
- Single-cell pathogen diagnostics for combating antibiotic resistance.Nature reviews. Methods primers · 2023Article
- Article
- Single-Cell Motility Rapidly Quantifying Heteroresistance in Populations ofSmall science · 2022Article
68 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the ability to analyze individual cells in microbial populations expands, it is becoming apparent that isogenic microbial populations contain substantial cell-to-cell differences in physiological parameters such as growth rate, resistance to stress and regulatory circuit output. Subpopulations exist that are manyfold different in these parameters from the population average, and these differences arise by stochastic processes. Such differences can dramatically affect the response of cells to perturbations, especially stress, which in turn dictates overall population response. Defining the role of cell-to-cell heterogeneity in population behavior is important for understanding population-based research problems, including those involving infecting populations, normal flora and bacterial populations in water and soils. Emerging technological breakthroughs are poised to transform single-cell analysis and are critical for the next phase of insights into physiological heterogeneity in the near future. These include technologies for multiparameter analysis of live cells, with downstream processing and analysis.
Indexed as
Identifiers
20852608What 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.