Evidence map›Paper›PMID 29497603›Full record

ArticleFrontiers in cellular and infection microbiology2018

High-Throughput Quantification of Bacterial-Cell Interactions Using Virtual Colony Counts.

Stefanie Hoffmann, Steffi Walter, Anne-Kathrin Blume, Stephan Fuchs, Christiane Schmidt, Annemarie Scholz, Roman G Gerlach

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Subversion of a family of antimicrobial proteins byFrontiers in cellular and infection microbiology · 2024
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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

7 authors.

Stefanie HoffmannProject Group 5, Robert Koch Institute, Wernigerode, Germany.
Steffi WalterProject Group 5, Robert Koch Institute, Wernigerode, Germany.
Anne-Kathrin BlumeDepartment of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Halle, Germany.
Stephan FuchsDivision 13: Nosocomial Pathogens and Antibiotic Resistances, Robert Koch Institute, Wernigerode, Germany.
Christiane SchmidtProject Group 5, Robert Koch Institute, Wernigerode, Germany.
Annemarie ScholzProject Group 5, Robert Koch Institute, Wernigerode, Germany.
Roman G GerlachProject Group 5, Robert Koch Institute, Wernigerode, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quantification of bacteria in cell culture infection models is of paramount importance for the characterization of host-pathogen interactions and pathogenicity factors involved. The standard to enumerate bacteria in these assays is plating of a dilution series on solid agar and counting of the resulting colony forming units (CFU). In contrast, the virtual colony count (VCC) method is a high-throughput compatible alternative with minimized manual input. Based on the recording of quantitative growth kinetics, VCC relates the time to reach a given absorbance threshold to the initial cell count using a series of calibration curves. Here, we adapted the VCC method using the model organism

Indexed as

Colony Count, MicrobialHigh-Throughput Screening AssaysHost-Pathogen InteractionsAnimalsBacterial InfectionsCell LineCells, CulturedHumansMacrophagesMiceMutationProbioticsSalmonellaadhesionbacterial quantificationcell culture infection modelgentamicin protection assayintracellular replicationinvasionSalmonellavirtual colony count

Identifiers

PMID29497603
PMCPMC5818393

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.