ReviewMicrobiology and molecular biology reviews : MMBR2004
Single-cell microbiology: tools, technologies, and applications.
Review in Microbiology and molecular biology reviews : MMBR, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 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
135 citing papers in PubMed, 483 citations in OpenAlex.
- EDTA suppresses bacterial perseverance to 2-phenoxyethanol.Microbiology spectrum · 2026Article
- Interplay between high-energy quenching and state transitions in Chlamydomonas reinhardtii: a single-cell approach.The New phytologist · 2026Article
- Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026Review
- Antibody display technologies from phages to cells: translational bottlenecks and AI-enabled opportunities.Frontiers in bioengineering and biotechnology · 2026Review
- Light-Emitting Diode Array with Optical Linear Detector Enables High-Throughput Differential Single-Cell Dielectrophoretic Analysis.Sensors (Basel, Switzerland) · 2024Article
- Visualizing liquid distribution across hyphal networks with cellular resolution.Biomicrofluidics · 2024Article
- Immunological and molecular diagnostic techniques in fish health: present and future prospectus.Molecular biology reports · 2024Review
- Recent Developments and Applications of Microbial Electrochemical Biosensors.Advances in biochemical engineering/biotechnology · 2024Review
- Single-cell sequencing technology in skin wound healing.Burns & trauma · 2024Review
- Beyond two dimensions: Exploring 3D dielectrophoresis for microparticle control using carbon electrodes.PloS one · 2024Article
- Monitoring Phenotype Heterogeneity at the Single-Cell Level withinAnalytical chemistry · 2023Article
- Microbiome single cell atlases generated with a commercial instrument.Research square · 2023Article
- Review
- Single-Cell Isolation Microfluidic Chip Based on Thermal Bubble Micropump Technology.Sensors (Basel, Switzerland) · 2023Article
- Estimating and Assessing Differential Equation Models with Time-Course Data.The journal of physical chemistry. B · 2023Article
- Methods for assessment of the tumour microenvironment and immune interactions in non-small cell lung cancer. A narrative review.Frontiers in oncology · 2023Review
- Analysis ofFrontiers in cellular and infection microbiology · 2023Review
- Identifying Bacterial Lineages in Salmonella by Flow Cytometry.EcoSal Plus · 2022Review
- Glioma Stem Cells: Novel Data Obtained by Single-Cell Sequencing.International journal of molecular sciences · 2022Review
- Rules of Engagement: A Guide to Developing Agent-Based Models.Methods in molecular biology (Clifton, N.J.) · 2022Article
75 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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The field of microbiology has traditionally been concerned with and focused on studies at the population level. Information on how cells respond to their environment, interact with each other, or undergo complex processes such as cellular differentiation or gene expression has been obtained mostly by inference from population-level data. Individual microorganisms, even those in supposedly "clonal" populations, may differ widely from each other in terms of their genetic composition, physiology, biochemistry, or behavior. This genetic and phenotypic heterogeneity has important practical consequences for a number of human interests, including antibiotic or biocide resistance, the productivity and stability of industrial fermentations, the efficacy of food preservatives, and the potential of pathogens to cause disease. New appreciation of the importance of cellular heterogeneity, coupled with recent advances in technology, has driven the development of new tools and techniques for the study of individual microbial cells. Because observations made at the single-cell level are not subject to the "averaging" effects characteristic of bulk-phase, population-level methods, they offer the unique capacity to observe discrete microbiological phenomena unavailable using traditional approaches. As a result, scientists have been able to characterize microorganisms, their activities, and their interactions at unprecedented levels of detail.
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.