Evidence map›Paper›PMID 23408089›Full record

ArticleJournal of fluorescence2013

High-sensitivity immunofluorescence staining: a comparison of the liposome procedure and the FASER technique on mGR detection.

Cindy Strehl, Timo Gaber, Manuela Jakstadt, Martin Hahne, Paula Hoff, Cornelia M Spies, Alexander Scheffold, Gerd-Rüdiger Burmester, Frank Buttgereit

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of fluorescence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Cindy StrehlDepartment of Rheumatology and Clinical Immunology, Charité University Hospital, Berlin, Germany. strehl@drfz.de
Timo Gaber
Manuela Jakstadt
Martin Hahne
Paula Hoff
Cornelia M Spies
Alexander Scheffold
Gerd-Rüdiger Burmester
Frank Buttgereit

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometry has become a widely-used and powerful tool for the characterization of cells according to their expression of specific proteins. However, sensitivity of this method is still limited since conventionally labeled antibodies can be conjugated with at maximum 1-10 dye molecules. This fact resulted in the need to develop new techniques in order to identify molecules which are expressed in very low but functionally relevant amounts. In the past, we have successfully used a liposome-based high-sensitivity immunofluorescence technique to measure the expression of low abundant membrane bound glucocorticoid receptors (mGR) on different cell types. The use of this technique allows the detection of as few as 50-100 antigen molecules per cell which is due to a 100-fold to 1000-fold increase in fluorescence signal intensity compared with conventional methods. The higher sensitivity is achieved since thousands of dye molecules can be enclosed in liposomes. Another modern high-sensitivity immunofluorescence staining method is the purchasable Fluorescence Amplification by Sequential Employment of Reagents (FASER) procedure. Here, we aimed at comparing sensitivity and specificity of these two techniques for the detection of the mGR. Our data demonstrate the FASER technique to be more sensitive and also more specific for the detection of mGR as compared to the liposome technique. However, both methods have advantages and disadvantages which are discussed in detail.

Indexed as

Cell MembraneFluorescent Antibody TechniqueFluorescent DyesGene Expression RegulationHEK293 CellsHumansIndicators and ReagentsLiposomesReceptors, GlucocorticoidStaining and LabelingFluorescent DyesIndicators and ReagentsLiposomesReceptors, Glucocorticoid

Identifiers

What OpenQuestion holds

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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.