ArticleFrontiers in microbiology2014
Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics.
Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors.NPJ systems biology and applications · 2026Article
- Comparison of flow cytometry and heterotrophic plate count methods for dialysis water microbial monitoring.Scientific reports · 2025Article
- Microbial water quality investigation through flow cytometry fingerprinting: from source to tap.Sustainable microbiology · 2024Article
- Novel antibody assessment method for microbial compositional alteration in the oral cavity.Biochemistry and biophysics reports · 2022Article
- Advances in automated real-time flow cytometry for monitoring of bioreactor processes.Engineering in life sciences · 2022Review
- Characteristics, Biodiversity, and Cultivation Strategy of Low Nucleic Acid Content Bacteria.Frontiers in microbiology · 2022Review
- Potential of Flow Cytometric Approaches for Rapid Microbial Detection and Characterization in the Food Industry-A Review.Foods (Basel, Switzerland) · 2021Review
- Microbial fuel cells: a comprehensive review for beginners.3 Biotech · 2021Review
- PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure.mSphere · 2021Article
- Computational Analysis of Microbial Flow Cytometry Data.mSystems · 2021Review
- Monitoring stratification of anode biofilms in bioelectrochemical laminar flow reactors using flow cytometry.Environmental science and ecotechnology · 2020Article
- Development and characterization of Escherichia coli triple reporter strains for investigation of population heterogeneity in bioprocesses.Microbial cell factories · 2020Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition).European journal of immunology · 2019Article
- flowDiv: a new pipeline for analyzing flow cytometric diversity.BMC bioinformatics · 2019Article
- Monitoring microbial communities' dynamics during the start-up of microbial fuel cells by high-throughput screening techniques.Biotechnology reports (Amsterdam, Netherlands) · 2019Article
- Growth-dependent recombinant product formation kinetics can be reproduced through engineering of glucose transport and is prone to phenotypic heterogeneity.Microbial cell factories · 2019Article
- Neutral mechanisms and niche differentiation in steady-state insular microbial communities revealed by single cell analysis.Environmental microbiology · 2019Article
- Long-Term Behavior of Defined Mixed Cultures ofFrontiers in bioengineering and biotechnology · 2019Article
- Long-Term Biogas Production from Glycolate by Diverse and Highly Dynamic Communities.Microorganisms · 2018Article
- Characterizing Microbiome Dynamics - Flow Cytometry Based Workflows from Pure Cultures to Natural Communities.Journal of visualized experiments : JoVE · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical characteristics of individual bacterial cells of natural communities can be measured with flow cytometry (FCM) in high throughput. The resulting data are visualized in cytometric histograms. These histograms represent individual cytometric fingerprints of microbial communities, e.g., at certain time points or microenvironmental conditions. Up to now four tools for analyzing the variation in these cytometric fingerprints are available but have not yet been systematically compared regarding application: Dalmatian Plot, Cytometric Histogram Image Comparison (CHIC), Cytometric Barcoding (CyBar), and FlowFP. In this article these tools were evaluated concerning (i) the required experience of the operator in handling cytometric data sets, (ii) the detection level of changes, (iii) time demand for analysis, and (iv) software requirements. As an illustrative example, FCM was used to characterize the microbial community structure of electroactive microbial biofilms. Their cytometric fingerprints were determined, analyzed with all four tools, and correlated to experimental and functional parameters. The source of inoculum (four different types of wastewater samples) showed the strongest influence on the microbial community structure and biofilm performance while the choice of substrate (acetate or lactate) had no significant effect in the present study. All four evaluation tools were found suitable to monitor structural changes of natural microbial communities. The Dalmatian Plot was shown to be most sensitive to operator impact but nevertheless provided an overview on community shifts. CHIC, CyBar, and FlowFP showed less operator dependence and gave highly resolved information on community structure variation on different detection levels. In conclusion, experimental and productivity parameters correlated with the biofilm structures and practical process integration details were available from cytometric fingerprint analysis.
Indexed as
Identifiers
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.