Evidence map›Paper›PMID 37638157›Full record

ArticleNanoscale advances2023

Separation and isolation of CD9-positive extracellular vesicles from plasma using flow cytometry.

Karan Khanna, Nikki Salmond, Sina Halvaei, Andrew Johnson, Karla C Williams

Abstract read
In one paragraph

Article in Nanoscale advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Extracellular vesicles in laboratory medicine: a review and outlook.Frontiers in cell and developmental biology · 2025
    Review
  5. Article
  6. 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.

Karan KhannaFaculty of Pharmaceutical Sciences, The University of British Columbia Vancouver V6T 1Z3 Canada karla.williams@ubc.ca.ORCID https://orcid.org/0000-0002-7695-6813
Nikki SalmondFaculty of Pharmaceutical Sciences, The University of British Columbia Vancouver V6T 1Z3 Canada karla.williams@ubc.ca.ORCID https://orcid.org/0000-0001-5126-5592
Sina HalvaeiFaculty of Pharmaceutical Sciences, The University of British Columbia Vancouver V6T 1Z3 Canada karla.williams@ubc.ca.
Andrew JohnsonFaculty of Medicine, UBC Flow Facility, The University of British Columbia Vancouver V6T 1Z3 Canada.
Karla C WilliamsFaculty of Pharmaceutical Sciences, The University of British Columbia Vancouver V6T 1Z3 Canada karla.williams@ubc.ca.ORCID https://orcid.org/0000-0003-2954-2869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanosized (∼30-1000 nm) lipid-enclosed particles released by a variety of cell types. EVs are found in biological fluids and are considered a promising material for disease detection and monitoring. Given their nanosized properties, EVs are difficult to isolate and study. In complex biological samples, this difficulty is amplified by other small particles and contaminating proteins making the discovery and validation of EV-based biomarkers challenging. Developing new strategies to isolate EVs from complex biological samples is of significant interest. Here, we evaluate the utility of flow cytometry to isolate particles in the nanoscale size range. Flow cytometry calibration was performed and 100 nm nanoparticles and ∼124 nm virus were used to test sorting capabilities in the nanoscale size range. Next, using blood plasma, we assessed the capabilities of flow cytometry sorting for the isolation of CD9-positive EVs. Using flow cytometry, CD9-positive EVs could be sorted from pre-enriched EV fractions and directly from plasma without the need for any EV pre-enrichment isolation strategies. These results demonstrate that flow cytometry can be employed as a method to isolate subpopulations of EVs from biological samples.

Identifiers

PMID37638157
PMCPMC10448347

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Registered trials

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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.