Evidence map›Paper›PMID 36437554›Full record

ArticleJournal of extracellular vesicles2022

EVAnalyzer: High content imaging for rigorous characterisation of single extracellular vesicles using standard laboratory equipment and a new open-source ImageJ/Fiji plugin.

Melanie Schürz, Joachim Danmayr, Maria Jaritsch, Eva Klinglmayr, Heloisa Melo Benirschke, Cristian-Tudor Matea, Patrick Zimmerebner, Jakob Rauter, Martin Wolf, Fausto Gueths Gomes and 13 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

23 authors.

Melanie SchürzDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.ORCID https://orcid.org/0000-0003-0170-3261
Joachim DanmayrDepartment of Informatics and Mathematics, Fernuniversität Hagen, Hagen, Germany.
Maria JaritschDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Eva KlinglmayrDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Heloisa Melo BenirschkeDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Cristian-Tudor MateaDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Patrick ZimmerebnerDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Jakob RauterDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Martin WolfCell Therapy Institute, Spinal Cord Injury and Tissue Regeneration Centre Salzburg (SCI-TReCS), Paracelsus Medical University (PMU), Salzburg, Austria.ORCID https://orcid.org/0000-0002-4795-8086
Fausto Gueths GomesCell Therapy Institute, Spinal Cord Injury and Tissue Regeneration Centre Salzburg (SCI-TReCS), Paracelsus Medical University (PMU), Salzburg, Austria.
Zdenek KratochvilDepartment of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic.
Zbynek HegerDepartment of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic.
Andrew MillerDepartment of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic.
Thomas HeuserVienna Biocentre Core Facilities, Vienna, Austria.
Vesna StanojlovicDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Jana KieferDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Tanja PlankDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Litty JohnsonDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Martin HimlyDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Constantin BlöchlDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Christian G HuberDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.
Martin HintersteinerEvoBiotiX SA, Lugano, Switzerland.
Nicole Meisner-KoberDepartment of Biosciences and Medical Biology, Paris Lodron University Salzburg, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicle (EV) research increasingly demands for quantitative characterisation at the single vesicle level to address heterogeneity and complexity of EV subpopulations. Emerging, commercialised technologies for single EV analysis based on, for example, imaging flow cytometry or imaging after capture on chips generally require dedicated instrumentation and proprietary software not readily accessible to every lab. This limits their implementation for routine EV characterisation in the rapidly growing EV field. We and others have shown that single vesicles can be detected as light diffraction limited fluorescent spots using standard confocal and widefield fluorescence microscopes. Advancing this simple strategy into a process for routine EV quantitation, we developed 'EVAnalyzer', an ImageJ/Fiji (Fiji is just ImageJ) plugin for automated, quantitative single vesicle analysis from imaging data. Using EVAnalyzer, we established a robust protocol for capture, (immuno-)labelling and fluorescent imaging of EVs. To exemplify the application scope, the process was optimised and systematically tested for (i) quantification of EV subpopulations, (ii) validation of EV labelling reagents, (iii) in situ determination of antibody specificity, sensitivity and species cross-reactivity for EV markers and (iv) optimisation of genetic EV engineering. Additionally, we show that the process can be applied to synthetic nanoparticles, allowing to determine siRNA encapsulation efficiencies of lipid-based nanoparticles (LNPs) and protein loading of SiO

Indexed as

Extracellular VesiclesSilicon DioxideBiomarkersDiagnostic ImagingFlow CytometryBiomarkersSilicon Dioxidecell uptakeEV immunolabellingexosomesextracellular vesicleslipid nanoparticlesliposomesopen innovationsilica nanoparticlessingle particle imagingsingle vesicle imaging

Identifiers

PMID36437554
PMCPMC9702573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.