Evidence map›Paper›PMID 26488169›Full record

ArticlePloS one2015

An Emerging Approach for Parallel Quantification of Intracellular Protozoan Parasites and Host Cell Characterization Using TissueFAXS Cytometry.

Maximilian Schmid, Bianca Dufner, Julius Dürk, Konstanze Bedal, Kristina Stricker, Lukas Ali Prokoph, Christoph Koch, Anja K Wege, Henner Zirpel, Ger van Zandbergen and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  7. Immune Cell and Cell Cluster Phenotyping, Quantitation, and Visualization Using In Silico Multiplexed Images and Tissue Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
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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

13 authors at 3 institutions in 1 country.

Maximilian SchmidInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Bianca DufnerInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Julius DürkInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Konstanze BedalInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Kristina StrickerInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Lukas Ali ProkophInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Christoph KochInstitute of Immunology, University of Regensburg, Regensburg, Germany.
Anja K WegeDepartment of Gynecology and Obstetrics, University of Regensburg, Regensburg, Germany.
Henner ZirpelDivision of Immunology, Paul-Ehrlich-Institute, Langen, Germany.
Ger van ZandbergenDepartment of Gynecology and Obstetrics, University of Regensburg, Regensburg, Germany; Institute of Immunology, University Medical Center of the Johannes Gutenberg University of Mainz, Mainz, Germany.
Rupert EckerTissueGnostics GmbH, Vienna, Austria.
Bogdan BoghiuTissueGnostics GmbH, Vienna, Austria.
Uwe RitterInstitute of Immunology, University of Regensburg, Regensburg, Germany.
University of Regensburg · DEPaul Ehrlich Institut · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of host-pathogen interactions is a fundamental approach in microbiological and immunological oriented disciplines. It is commonly accepted that host cells start to change their phenotype after engulfing pathogens. Techniques such as real time PCR or ELISA were used to characterize the genes encoding proteins that are associated either with pathogen elimination or immune escape mechanisms. Most of such studies were performed in vitro using primary host cells or cell lines. Consequently, the data generated with such approaches reflect the global RNA expression or protein amount recovered from all cells in culture. This is justified when all host cells harbor an equal amount of pathogens under experimental conditions. However, the uptake of pathogens by phagocytic cells is not synchronized. Consequently, there are host cells incorporating different amounts of pathogens that might result in distinct pathogen-induced protein biosynthesis. Therefore, we established a technique able to detect and quantify the number of pathogens in the corresponding host cells using immunofluorescence-based high throughput analysis. Paired with multicolor staining of molecules of interest it is now possible to analyze the infection profile of host cell populations and the corresponding phenotype of the host cells as a result of parasite load.

Indexed as

SoftwareAnimalsCell NucleusCells, CulturedComputational BiologyDNA, ProtozoanFluorescent DyesHost-Parasite InteractionsHumansImage CytometryIndolesIntracellular SpaceLeishmania majorLeishmaniasis, CutaneousLymph NodesMacrophagesDAPIDNA, ProtozoanFluorescent DyesIndoles

Identifiers

PMID26488169
PMCPMC4619545
OpenAlexW2168903530

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.