Evidence map›Paper›PMID 21209844›Full record

ArticlePloS one2010

Automated analysis of cryptococcal macrophage parasitism using GFP-tagged cryptococci.

Kerstin Voelz, Simon A Johnston, Julian C Rutherford, Robin C May

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

40 citing papers in PubMed, 73 citations in OpenAlex.

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  7. A food color based colorimetric assay forbioRxiv : the preprint server for biology · 2024
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  15. The Added Value of Longitudinal Imaging for PreclinicalAntimicrobial agents and chemotherapy · 2020
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  16. Fenbendazole ControlsAntimicrobial agents and chemotherapy · 2020
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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

4 authors at 2 institutions in 1 country.

Kerstin VoelzSchool of Biosciences, University of Birmingham, Birmingham, United Kingdom.
Simon A Johnston
Julian C Rutherford
Robin C May
University of Birmingham · GBNewcastle University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H006605/1Medical Research Council G0601171Wellcome TrustWellcome Trust 088148MF
6 · The paper itself

Abstract

The human fungal pathogens Cryptococcus neoformans and C. gattii cause life-threatening infections of the central nervous system. One of the major characteristics of cryptococcal disease is the ability of the pathogen to parasitise upon phagocytic immune effector cells, a phenomenon that correlates strongly with virulence in rodent models of infection. Despite the importance of phagocyte/Cryptococcus interactions to disease progression, current methods for assaying virulence in the macrophage system are both time consuming and low throughput. Here, we introduce the first stable and fully characterised GFP-expressing derivatives of two widely used cryptococcal strains: C. neoformans serotype A type strain H99 and C. gattii serotype B type strain R265. Both strains show unaltered responses to environmental and host stress conditions and no deficiency in virulence in the macrophage model system. In addition, we report the development of a method to effectively and rapidly investigate macrophage parasitism by flow cytometry, a technique that preserves the accuracy of current approaches but offers a four-fold improvement in speed.

Indexed as

AnimalsAutomationBase SequenceCell LineCryptococcusFlow CytometryGreen Fluorescent ProteinsHumansMacrophagesMiceMicroscopy, ConfocalMolecular Sequence DataPhagocytesSpecies SpecificityVirulenceGreen Fluorescent Proteins

Identifiers

PMID21209844
PMCPMC3013146
OpenAlexW2095682559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.