Evidence map›Paper›PMID 17014739›Full record

ArticleBMC microbiology2006

Construction of a multiple fluorescence labelling system for use in co-invasion studies of Listeria monocytogenes.

Jens B Andersen, Bent B Roldgaard, Ariel B Lindner, Bjarke B Christensen, Tine R Licht

Abstract read
In one paragraph

Article in BMC microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Article
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  3. Bacterial aggregation facilitates internalin-mediated invasion ofFrontiers in cellular and infection microbiology · 2024
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  7. Measurement of Protein Mobility inFrontiers in microbiology · 2021
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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

5 authors.

Jens B AndersenDanish Institute for Food and Veterinary Research, Department of Microbiological Food Safety, Mørkhøj Bygade 19, 2860 Søborg, Denmark. jeban@dfvf.dk
Bent B Roldgaard
Ariel B Lindner
Bjarke B Christensen
Tine R Licht

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExisting virulence models are often difficult to apply for quantitative comparison of invasion potentials of Listeria monocytogenes. Well-to-well variation between cell-line based in vitro assays is practically unavoidable, and variation between individual animals is the cause of large deviations in the observed capacity for infection when animal models are used. One way to circumvent this problem is to carry out virulence studies as competition assays between 2 or more strains. This, however, requires invasion-neutral markers that enable easy discrimination between the different strains.

resultsA fluorescent marker system, allowing visualization and identification of single L. monocytogenes cells as well as colonies in a non-destructive manner, was developed. Five different fluorescent labels are available, and allowed simultaneous visual discrimination between three differently labelled strains at the single cell level by use of fluorescence microscopy. More than 90% of the L. monocytogenes host cells maintained the fluorescence tags for 40 generations. The fluorescence tags did not alter the invasive capacity of the L. monocytogenes cells in a traditional Caco-2 cell invasion assay, and visual discrimination between invaded bacteria carrying different fluorescent labels inside the cells was possible.

conclusionThe constructed fluorescent marker system is stable, easy to use, does not affect the virulence of L. monocytogenes in Caco-2 cell assays, and allows discrimination between differently labelled bacteria after internalization in these cells.

Indexed as

Bacterial ProteinsCaco-2 CellsFluorescenceHumansListeria monocytogenesListeriosisStaining and LabelingVirulenceBacterial Proteins

Identifiers

PMID17014739
PMCPMC1599739

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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.