Evidence map›Paper›PMID 31250561›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2020

FCM

Joshua A Welsh, Peter Horak, James S Wilkinson, Verity J Ford, Jennifer C Jones, David Smith, Judith A Holloway, Nicola A Englyst

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Loading of therapeutic cell penetrating peptides into extracellular vesicles for pulmonary fibrosis.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Joshua A WelshFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-1097-9756
Peter HorakOptoelectronics Research Centre, University of Southampton, Southampton, UK.ORCID 0000-0002-8710-8764
James S WilkinsonOptoelectronics Research Centre, University of Southampton, Southampton, UK.ORCID 0000-0003-4712-1697
Verity J FordFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-1364-8522
Jennifer C JonesTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-9488-7719
David SmithFaculty of Medicine, University of Southampton, Southampton, UK.
Judith A HollowayFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-2268-3071
Nicola A EnglystFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-0508-8323

Funding

Development and use of nanoFACS for analysis and sorting of nanoparticlesZIABC011502 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2013 to 2025
$8.6M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011502
6 · The paper itself

Abstract

The study of extracellular vesicles (EVs) is a rapidly growing field due to their great potential in many areas of clinical medicine including diagnostics, prognostics, theranostics, and therapeutics. Flow cytometry is currently one of the most popular methods of analyzing EVs due to it being a high-throughput, multiparametric technique, that is readily available in the majority of research labs. Despite its wide use, few commercial flow cytometers are designed specifically for the detection of EVs. Many flow cytometers used for EV analysis are working at their detection limits and are unable to detect the majority of EVs. Currently, very little standardization exists for EV flow cytometry, which is an issue because flow cytometers vary considerably in the way they collect scattered or fluorescent light from particles being interrogated. This makes published research hard to interpret, compare, and in some cases, impossible to reproduce. Here we demonstrate a method of flow cytometer light scatter standardization, utilizing flow cytometer postacquisition analysis software (FCM

Indexed as

Extracellular VesiclesFlow CytometryHumansLightReference StandardsSoftwareextracellular vesiclesflow cytometrylight scatterMie modelingsoftwarestandardization

Identifiers

PMID31250561
PMCPMC7061335

What OpenQuestion holds

Textmetadata
LicenceTDM
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.