Evidence map›Paper›PMID 29259315›Full record

ArticleScientific reports2017

Single-Particle Discrimination of Retroviruses from Extracellular Vesicles by Nanoscale Flow Cytometry.

Vera A Tang, Tyler M Renner, Anna K Fritzsche, Dylan Burger, Marc-André Langlois

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Extracellular vesicles: key mediators inFrontiers in veterinary science · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Modern Techniques for the Isolation of Extracellular Vesicles and Viruses.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2020
    Review
  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

5 authors at 1 institution in 3 countries.

Vera A TangUniversity of Ottawa Flow Cytometry and Virometry Core Facility, Ottawa, Canada.
Tyler M RennerDepartment of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Anna K FritzscheDepartment of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Dylan BurgerDepartment of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Marc-André LangloisUniversity of Ottawa Flow Cytometry and Virometry Core Facility, Ottawa, Canada. langlois@uottawa.ca.ORCID 0000-0003-4652-3029
University of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retroviruses and small EVs overlap in size, buoyant densities, refractive indices and share many cell-derived surface markers making them virtually indistinguishable by standard biochemical methods. This poses a significant challenge when purifying retroviruses for downstream analyses or for phenotypic characterization studies of markers on individual virions given that EVs are a major contaminant of retroviral preparations. Nanoscale flow cytometry (NFC), also called flow virometry, is an adaptation of flow cytometry technology for the analysis of individual nanoparticles such as extracellular vesicles (EVs) and retroviruses. In this study we systematically optimized NFC parameters for the detection of retroviral particles in the range of 115-130 nm, including viral production, sample labeling, laser power and voltage settings. By using the retroviral envelope glycoprotein as a selection marker, and evaluating a number of fluorescent dyes and labeling methods, we demonstrate that it is possible to confidently distinguish retroviruses from small EVs by NFC. Our findings make it now possible to individually phenotype genetically modified retroviral particles that express a fluorescent envelope glycoprotein without removing EV contaminants from the sample.

Indexed as

AnimalsBiomarkersCell LineCell Line, TumorExtracellular VesiclesFlow CytometryFluorescent DyesHEK293 CellsHeLa CellsHumansMiceNanoparticlesNIH 3T3 CellsPhenotypeRetroviridaeVirionBiomarkersFluorescent Dyes

Identifiers

PMID29259315
PMCPMC5736735
OpenAlexW2773116887

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.