Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Multi-parameter flow cytometry and cell sorting reveal extensive physiological heterogeneity in Bacillus cereus batch cultures.

Biotechnology letters - 1 Jul 2011

Want Andrew, Hancocks Helen, Thomas Colin R, Stocks Stuart M, Nebe-von-Caron Gerhard, Hewitt Christopher J

Abstract excerpt

Based on two staining protocols, DiOC(6)(3)/propidium iodide (PI) and RedoxSensor Green (an indicator of bacterial reductase activity)/PI, multi-parameter flow cytometry and cell sorting has identified at least four distinguishable physiological states during batch cultures of Bacillus cereus. Furthermore, dependent on the position in the growth curve, single cells gave rise to varying numbers of colonies when...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bacillus cereus
Share to Flow Cytometry

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Fluorescent Dyes

Share to Genetic Variation

Share to Staining and Labeling

Source

Identifiers

PMID: 21365289
DOI: 10.1007/s10529-011-0566-z

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-parameter flow cytometry and cell sorting reveal extensive physiological heterogeneity in Bacillus cereus batch cultures.PMID 21365289Read ↗

The Application of Imaging Flow Cytometry for Characterisation and Quantification of Bacterial Phenotypes.Semantic proximity Read ↗

Dissecting Bacterial Growth Variants by Cellular Phenotypic Profiling and Backtracing.Semantic proximity Read ↗

A Novel Biosensor Reveals Dynamic Changes of C-di-GMP in Differentiating Cells with Ultra-High Temporal ResolutionSemantic proximity Read ↗

Single cell analysis of gene expression patterns of competence development and initiation of sporulation in Bacillus subtilis grown on chemically defined media.Semantic proximity Read ↗

Extensive cellular multitasking within <i>Bacillus subtilis</i> biofilmsSemantic proximity Read ↗

Quantitative assessment of bacterial growth phase utilizing flow cytometry.Semantic proximity Read ↗

Origin and analysis of microbial population heterogeneity in bioprocesses.Semantic proximity Read ↗

Flow cytometric monitoring of the bacterial phenotypic diversity in aquatic ecosystems.Semantic proximity Read ↗

Analysis of Salmonella lineage-specific traits upon cell sorting.Semantic proximity Read ↗

Spores and vegetative cells of phenotypically and genetically diverse Bacillus cereus sensu lato are common bacteria in fresh water of northeastern Poland.Semantic proximity Read ↗

Flow cytometric analysis reveals culture condition dependent variations in phenotypic heterogeneity of Limosilactobacillus reuteri.Semantic proximity Read ↗

Coordination of cell decisions and promotion of phenotypic diversity in B. subtilis via pulsed behavior of the phosphorelay.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.