Evidence map›Paper›PMID 27786276›Full record

ArticleScientific reports2016

Revealing the diversity of extracellular vesicles using high-dimensional flow cytometry analyses.

Geneviève Marcoux, Anne-Claire Duchez, Nathalie Cloutier, Patrick Provost, Peter A Nigrovic, Eric Boilard

Open access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 78 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  5. Platelet-Derived Microparticles and Autoimmune Diseases.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Serum extracellular vesicles for delivery of CRISPR-CAS9 ribonucleoproteins to modify the dystrophin gene.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. 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

6 authors at 3 institutions in 2 countries.

Geneviève MarcouxCentre de Recherche du Centre Hospitalier Universitaire de Québec, Faculté de Médecine de l'Université Laval, Département de microbiologie et immunologie, Québec, QC, Canada.
Anne-Claire DuchezCentre de Recherche du Centre Hospitalier Universitaire de Québec, Faculté de Médecine de l'Université Laval, Département de microbiologie et immunologie, Québec, QC, Canada.
Nathalie CloutierCentre de Recherche du Centre Hospitalier Universitaire de Québec, Faculté de Médecine de l'Université Laval, Département de microbiologie et immunologie, Québec, QC, Canada.
Patrick ProvostCentre de Recherche du Centre Hospitalier Universitaire de Québec, Faculté de Médecine de l'Université Laval, Département de microbiologie et immunologie, Québec, QC, Canada.
Peter A NigrovicDepartment of Medicine, Division of Rheumatology Immunology and Allergy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Eric BoilardCentre de Recherche du Centre Hospitalier Universitaire de Québec, Faculté de Médecine de l'Université Laval, Département de microbiologie et immunologie, Québec, QC, Canada.
Centre hospitalier universitaire de Québec · CAUniversité Laval · CAHarvard University · US

Funding

CIHR
6 · The paper itself

Abstract

Extracellular vesicles (EV) are small membrane vesicles produced by cells upon activation and apoptosis. EVs are heterogeneous according to their origin, mode of release, membrane composition, organelle and biochemical content, and other factors. Whereas it is apparent that EVs are implicated in intercellular communication, they can also be used as biomarkers. Continuous improvements in pre-analytical parameters and flow cytometry permit more efficient assessment of EVs; however, methods to more objectively distinguish EVs from cells and background, and to interpret multiple single-EV parameters are lacking. We used spanning-tree progression analysis of density-normalized events (SPADE) as a computational approach for the organization of EV subpopulations released by platelets and erythrocytes. SPADE distinguished EVs, and logically organized EVs detected by high-sensitivity flow cytofluorometry based on size estimation, granularity, mitochondrial content, and phosphatidylserine and protein receptor surface expression. Plasma EVs were organized by hierarchy, permitting appreciation of their heterogeneity. Furthermore, SPADE was used to analyze EVs present in the synovial fluid of patients with inflammatory arthritis. Its algorithm efficiently revealed subtypes of arthritic patients based on EV heterogeneity patterns. Our study reveals that computational algorithms are useful for the analysis of high-dimensional single EV data, thereby facilitating comprehension of EV functions and biomarker development.

Indexed as

AlgorithmsArthritis, RheumatoidBiomarkersBlood PlateletsErythrocytesExtracellular VesiclesFlow CytometryHumansIn Vitro TechniquesParticle SizeSynovial FluidThrombinBiomarkersThrombin

Identifiers

PMID27786276
PMCPMC5081512
OpenAlexW2541527101

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.