Evidence map›Paper›PMID 33917210›Full record

ArticleInternational journal of molecular sciences2021

Comparative Analysis of Platelet-Derived Extracellular Vesicles Using Flow Cytometry and Nanoparticle Tracking Analysis.

Sobha Karuthedom George, Lucia Lauková, René Weiss, Vladislav Semak, Birgit Fendl, Victor U Weiss, Stephanie Steinberger, Günter Allmaier, Carla Tripisciano, Viktoria Weber

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

10 authors.

Sobha Karuthedom GeorgeCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.ORCID 0000-0001-8820-796X
Lucia LaukováCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.
René WeissCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.
Vladislav SemakCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.ORCID 0000-0003-2156-2267
Birgit FendlCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.
Victor U WeissInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.ORCID 0000-0002-0056-6819
Stephanie SteinbergerInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.ORCID 0000-0003-0375-5217
Günter AllmaierInstitute of Chemical Technologies and Analytics, TU Wien, 1060 Vienna, Austria.ORCID 0000-0002-1438-9462
Carla TripiscianoCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.
Viktoria WeberCenter for Biomedical Technology, Department for Biomedical Research, Danube University Krems, 3500 Krems, Austria.ORCID 0000-0002-3963-9077

Funding

NÖ Forschungs- und Bildungsges.m.b.H. LS16-018
6 · The paper itself

Abstract

Growing interest in extracellular vesicles (EVs) has prompted the advancements of protocols for improved EV characterization. As a high-throughput, multi-parameter, and single particle technique, flow cytometry is widely used for EV characterization. The comparison of data on EV concentration, however, is hindered by the lack of standardization between different protocols and instruments. Here, we quantified EV counts of platelet-derived EVs, using two flow cytometers (Gallios and CytoFLEX LX) and nanoparticle tracking analysis (NTA). Phosphatidylserine-exposing EVs were identified by labelling with lactadherin (LA). Calibration with silica-based fluorescent beads showed detection limits of 300 nm and 150 nm for Gallios and CytoFLEX LX, respectively. Accordingly, CytoFLEX LX yielded 40-fold higher EV counts and 13-fold higher counts of LA

Indexed as

Flow CytometryNanoparticlesBiomarkersBlood PlateletsExtracellular VesiclesFluorescenceFluorescent DyesSpectroscopy, Fourier Transform InfraredBiomarkersFluorescent Dyesextracellular vesiclesflow cytometrynanoparticle tracking analysisphosphatidylserineplatelets

Identifiers

PMID33917210
PMCPMC8068037

What OpenQuestion holds

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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.