Evidence map›Paper›PMID 8987359›Full record

ReviewMicrobiological reviews1996

Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

H M Davey, D B Kell

Open access · diamondAbstract readHistorical ArticleReview
In one paragraph

Review in Microbiological reviews, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 206 papers.

0numbers the graph read from it
0cells of the map it votes in
206citing papers in PubMed
28.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

206 citing papers in PubMed, 776 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Determination of Ploidy Levels and Nuclear DNA Content inJournal of fungi (Basel, Switzerland) · 2024
    Article
  18. Article
  19. Article
  20. Article

146 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

H M DaveyInstitute of Biological Sciences, University of Wales, Aberystwyth, Dyfed, United Kingdom.
D B Kell
Aberystwyth University · GBUniversity of Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most fundamental questions such as whether a cell is alive, in the sense of being able to divide or to form a colony, may sometimes be very hard to answer, since even axenic microbial cultures are extremely heterogeneous. Analyses that seek to correlate such things as viability, which is a property of an individual cell, with macroscopic measurements of culture variables such as ATP content, respiratory activity, and so on, must inevitably fail. It is therefore necessary to make physiological measurements on individual cells. Flow cytometry is such a technique, which allows one to analyze cells rapidly and individually and permits the quantitative analysis of microbial heterogeneity. It therefore offers many advantages over conventional measurements for both routine and more exploratory analyses of microbial properties. While the technique has been widely applied to the study of mammalian cells, is use in microbiology has until recently been much more limited, largely because of the smaller size of microbes and the consequently smaller optical signals obtainable from them. Since these technical barriers no longer hold, flow cytometry with appropriate stains has been used for the rapid discrimination and identification of microbial cells, for the rapid assessment of viability and of the heterogeneous distributions of a wealth of other more detailed physiological properties, for the analysis of antimicrobial drug-cell interactions, and for the isolation of high-yielding strains of biotechnological interest. Flow cytometric analyses provide an abundance of multivariate data, and special methods have been devised to exploit these. Ongoing advances mean that modern flow cytometers may now be used by nonspecialists to effect a renaissance in our understanding of microbial heterogeneity.

Indexed as

BacteriaBacterial Physiological PhenomenaCell CountCell Physiological PhenomenaCellsColony Count, MicrobialElectronic Data ProcessingFlow CytometryFluoresceinsHistory, Modern 1601-Molecular StructureFluoresceins

Identifiers

PMID8987359
PMCPMC239459
OpenAlexW2141361677

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.