ReviewBioMed research international2014
Applications of flow cytometry to characterize bacterial physiological responses.
Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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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
63 citing papers in PubMed.
- Beyond Tuberculosis: Unlocking the Antifungal Potential of Novel Isoniazid Derivatives against Non-ACS omega · 2026Article
- Decoding extremophiles: insights from bioinformatics, machine learning, and data-driven approaches.Briefings in bioinformatics · 2026Review
- Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026Review
- Escherichia coli type I toxin TisB exclusively controls proton depolarization following antibiotic induced DNA damage.Scientific reports · 2025Article
- Susceptibility profile of clinical and food-associatedFrontiers in microbiology · 2025Article
- Flow cytometry study ofFrontiers in microbiology · 2025Article
- Analysis of bb0556 Expression and Its Role During Borrelia burgdorferi Mammalian Infection.Molecular microbiology · 2024Article
- An Integrated Approach to Elucidate the Interplay between Iron Uptake Dynamics and Magnetosome Formation at the Single-Cell Level inACS applied materials & interfaces · 2024Article
- Prevalence, pandemic, preventions and policies to overcome antimicrobial resistance.Saudi journal of biological sciences · 2024Review
- Identifying antibiotic-resistant strains via cell sorting and elastic-light-scatter phenotyping.Applied microbiology and biotechnology · 2024Article
- Assessment of the hypothetical protein BB0616 in the murine infection ofInfection and immunity · 2024Article
- Paper-based fluorescence sensor array with functionalized carbon quantum dots for bacterial discrimination using a machine learning algorithm.Analytical and bioanalytical chemistry · 2024Article
- Iron uptake pathway ofFrontiers in microbiology · 2024Article
- Monitoring ofFrontiers in microbiology · 2024Article
- Anaerobic Feces Processing for Fecal Microbiota Transplantation Improves Viability of Obligate Anaerobes.Microorganisms · 2023Article
- Flow Cytometry: The Next Revolution.Cells · 2023Review
- Targeted depletion ofmSystems · 2023Article
- Developing whole cell standards for the microbiome field.Microbiome · 2022Article
- Medium throughput protocol for genome-based quantification of intracellular mycobacterial loads and macrophage survival duringSTAR protocols · 2022Article
- Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility Testing.Antibiotics (Basel, Switzerland) · 2022Review
3 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although reports of flow cytometry (FCM) applied to bacterial analysis are increasing, studies of FCM related to human cells still vastly outnumber other reports. However, current advances in FCM combined with a new generation of cellular reporter probes have made this technique suitable for analyzing physiological responses in bacteria. We review how FCM has been applied to characterize distinct physiological conditions in bacteria including responses to antibiotics and other cytotoxic chemicals and physical factors, pathogen-host interactions, cell differentiation during biofilm formation, and the mechanisms governing development pathways such as sporulation. Since FCM is suitable for performing studies at the single-cell level, we describe how this powerful technique has yielded invaluable information about the heterogeneous distribution of differently and even specialized responding cells and how it may help to provide insights about how cell interaction takes place in complex structures, such as those that prevail in bacterial biofilms.
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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.