Evidence map›Paper›PMID 32854228›Full record

ArticleCells2020

Methods for Separation and Characterization of Extracellular Vesicles: Results of a Worldwide Survey Performed by the ISEV Rigor and Standardization Subcommittee.

Felix Royo, Clotilde Théry, Juan M Falcón-Pérez, Rienk Nieuwland, Kenneth W Witwer

Abstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 7 pooled it
–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

242 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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182 more citing papers are in PubMed but not listed here.

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.

Felix RoyoCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Exosomes Laboratory, 48160 Derio, Spain.ORCID 0000-0001-9769-4165
Clotilde ThéryInstitut Curie, INSERM U932, PSL Research University, 75005 Paris, France.ORCID 0000-0001-8294-6884
Juan M Falcón-PérezCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Exosomes Laboratory, 48160 Derio, Spain.ORCID 0000-0003-3133-0670
Rienk NieuwlandLaboratory of Experimental Clinical Chemistry, Department of Clinical Chemistry, Amsterdam UMC, Location AMC, University of Amsterdam, 19268 Amsterdam, The Netherlands.ORCID 0000-0002-5671-3400
Kenneth W WitwerSchool of Medicine, Departments of Molecular and Comparative Pathobiology and Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.

Funding

Next-generation extracellular vesicle biologics to target central nervous system and peripheral reservoirs of HIVR01AI144997 · NIAID · JOHNS HOPKINS UNIVERSITY · PI RAMRATNAM, BHARAT, WITWER, KENNETH W · 2019 to 2023
$4.0M
Extracellular Vesicle and Extracellular RNA Biomarkers of HIV-1 Central Nervous System Pathogenesis and Cigarette UseR01DA047807 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2018 to 2022
$3.7M
Extracellular Vesicle-Mediated Immunomodulation in HIV Infection and Nicotine AbuseR01DA040385 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2015 to 2019
$2.3M
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUG3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2019 to 2020
$941k
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR21MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2018 to 2019
$471k
NCI NIH HHS UG3 CA241694NIAID NIH HHS R01 AI144997NIDA NIH HHS R01 DA040385NIDA NIH HHS R01 DA047807NIMH NIH HHS R21 MH118164
6 · The paper itself

Abstract

Research on extracellular vesicles (EVs) is growing exponentially due to an increasing appreciation of EVs as disease biomarkers and therapeutics, an expanding number of EV-containing materials under study, and application of new preparation, detection, and cargo analysis methods. Diversity of both sources and methodologies imposes challenges on the comparison of measurement results between studies and laboratories. While reference guidelines and minimal requirements for EV research have achieved the important objective of assembling community consensus, it is also essential to understand which methodologies and quality controls are currently being applied, and how usage trends are evolving. As an initial response to this need, the International Society for Extracellular Vesicles (ISEV) performed a worldwide survey in 2015 on "Techniques used for the isolation and characterization of extracellular vesicles" and published the results from this survey in 2016. In 2019, a new survey was performed to assess the changing state of the field. The questionnaire received more than 600 full or partial responses, and the present manuscript summarizes the results of this second worldwide survey. The results emphasize that separation methods such as ultracentrifugation and density gradients are still the most commonly used methods, the use of size exclusion chromatography has increased, and techniques based on tangential flow and microfluidics are now being used by more than 10% of respondents. The survey also reveals that most EV researchers still do not perform sample quality controls before or after isolation of EVs. Finally, the majority of EV researchers emphasize that separation and characterization of EVs should receive more attention.

Indexed as

Extracellular VesiclesHumansQuality ControlSurveys and Questionnairesbiobankscharacterizationexosomesextracellular vesiclesisolationmethodologymicroparticlesmicrovesiclesquality controlseparationstandardization

Identifiers

PMID32854228
PMCPMC7563174

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.