Evidence map›Paper›PMID 32481493›Full record

ReviewBiomolecules2020

Extracellular Vesicles: Current Analytical Techniques for Detection and Quantification.

Esther Serrano-Pertierra, Myriam Oliveira-Rodríguez, María Matos, Gemma Gutiérrez, Amanda Moyano, María Salvador, Montserrat Rivas, María Carmen Blanco-López

Abstract readReview
In one paragraph

Review in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

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  15. Mesenchymal stromal cell extracellular vesicles reduceAmerican journal of physiology. Lung cellular and molecular physiology · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. 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

8 authors.

Esther Serrano-PertierraDepartment of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, Spain.
Myriam Oliveira-RodríguezDepartment of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, Spain.
María MatosInstituto Universitario de Biotecnología de Asturias, University of Oviedo, 33006 Oviedo, Spain.
Gemma GutiérrezInstituto Universitario de Biotecnología de Asturias, University of Oviedo, 33006 Oviedo, Spain.
Amanda MoyanoDepartment of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, Spain.
María SalvadorDepartment of Physics & IUTA, University of Oviedo, Campus de Viesques, 33204 Gijón, Spain.
Montserrat RivasDepartment of Physics & IUTA, University of Oviedo, Campus de Viesques, 33204 Gijón, Spain.
María Carmen Blanco-LópezDepartment of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, Spain.

Funding

Gobierno del Principado de Asturias IDI/2018/000185Ministerio de Economía y Competitividad MAT2017-84959-C2-1-R
6 · The paper itself

Abstract

Since their first observation, understanding the biology of extracellular vesicles (EV) has been an important and challenging field of study. They play a key role in the intercellular communication and are involved in important physiological and pathological functions. Therefore, EV are considered as potential biomarkers for diagnosis, prognosis, and monitoring the response to treatment in some diseases. In addition, due to their properties, EV may be used for therapeutic purposes. In the study of EV, three major points have to be addressed: 1. How to isolate EV from cell culture supernatant/biological fluids, 2. how to detect them, and 3. how to characterize and quantify. In this review, we focus on the last two questions and provide the main analytical techniques up-to-date for detection and profiling of EV. We critically analyze the advantages and disadvantages of each one, aimed to be of relevance for all researchers working on EV biology and their potential applications.

Indexed as

Cell CommunicationExtracellular VesiclesHumansasymmetrical-flow field-flow fractionationcharacterizationELISAextracellular vesicleslateral flow immunoassaynanoparticle tracking analysisquantification

Identifiers

PMID32481493
PMCPMC7357140

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.