ReviewCell proliferation2007
Modes of cytometric bacterial DNA pattern: a tool for pursuing growth.
Review in Cell proliferation, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Synechocystis sp. PCC 6803 shows high cell cycle dynamics reflected by an extraordinary genome copy number variation.Microbial cell factories · 2026Article
- A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors.NPJ systems biology and applications · 2026Article
- Resolving spatiotemporal dynamics in bacterial multicellular populations: approaches and challenges.Microbiology and molecular biology reviews : MMBR · 2025Review
- Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition.Microorganisms · 2024Article
- Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting.mSystems · 2021Article
- The Impact of the Antibiotic Fosfomycin on Wastewater Communities Measured by Flow Cytometry.Frontiers in microbiology · 2021Article
- Bacterial mock communities as standards for reproducible cytometric microbiome analysis.Nature protocols · 2020Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition).European journal of immunology · 2019Article
- Gene Expansion and Positive Selection as Bacterial Adaptations to Oligotrophic Conditions.mSphere · 2019Article
- Quantitation and Comparison of Phenotypic Heterogeneity Among Single Cells of Monoclonal Microbial Populations.Frontiers in microbiology · 2019Article
- Long-Term Behavior of Defined Mixed Cultures ofFrontiers in bioengineering and biotechnology · 2019Article
- Neutral mechanisms and niche differentiation in steady-state insular microbial communities revealed by single cell analysis.Environmental microbiology · 2019Article
- Lagrangian Trajectories to Predict the Formation of Population Heterogeneity in Large-Scale Bioreactors.Bioengineering (Basel, Switzerland) · 2017Article
- Cytometric patterns reveal growth states of Shewanella putrefaciens.Microbial biotechnology · 2015Article
- Applications of flow cytometry to characterize bacterial physiological responses.BioMed research international · 2014Review
- Subpopulation-proteomics reveal growth rate, but not cell cycling, as a major impact on protein composition in Pseudomonas putida KT2440.AMB Express · 2014Article
- Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics.Frontiers in microbiology · 2014Article
- You are what you talk: quorum sensing induces individual morphologies and cell division modes in Dinoroseobacter shibae.The ISME journal · 2013Article
- Monitoring of population dynamics of Corynebacterium glutamicum by multiparameter flow cytometry.Microbial biotechnology · 2013Article
- Cytometric fingerprinting for analyzing microbial intracommunity structure variation and identifying subcommunity function.Nature protocols · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Analyses of DNA pattern provide an excellent tool to determine activity states of bacteria. Bacterial cell cycle behaviour is generally different from the eukaryotic one and is pre-determined by the bacteria's diversity within the phylogenetic tree, and their metabolic traits. As a result, every species creates its specific proliferation pattern that differs from every other one. Up to now, just few bacterial species have been investigated and little information is available concerning DNA cycling even in already known species. This prevents understanding of the complexity and diversity of ongoing bacterial interactions in many ecosystems or in biotechnology. Flow cytometry is the only possible technique to shed light on the dynamics of bacterial communities and DNA patterns will help to unlock the hidden principles of their life. This review provides basic knowledge about the molecular background of bacterial cell cycling, discusses modes of cell cycle phases and presents techniques to both obtain DNA patterns and to combine the contained information with physiological cell states.
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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.