Evidence map›Paper›PMID 32913880›Full record

ArticleMolecular therapy. Methods & clinical development2020

Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research.

Laetitia S Gaspar, Magda M Santana, Carina Henriques, Maria M Pinto, Teresa M Ribeiro-Rodrigues, Henrique Girão, Rui Jorge Nobre, Luís Pereira de Almeida

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Extracellular vesicles-associated AAVs for the treatment of Machado-Joseph disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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  12. Research advances of tissue-derived extracellular vesicles in cancers.Journal of cancer research and clinical oncology · 2024
    Review
  13. Article
  14. Article
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  16. 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 at 1 institution in 1 country.

Laetitia S GasparCenter for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
Magda M SantanaCenter for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
Carina HenriquesCenter for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
Maria M PintoCenter for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
Teresa M Ribeiro-RodriguesCenter for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.
Henrique GirãoCenter for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.
Rui Jorge NobreCenter for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
Luís Pereira de AlmeidaCenter for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
University of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are membranous structures that protect RNAs from damage when circulating in complex biological fluids, such as plasma. RNAs are extremely specific to health and disease, being powerful tools for diagnosis, treatment response monitoring, and development of new therapeutic strategies for several diseases. In this context, EVs are potential sources of disease biomarkers and promising delivery vehicles. However, standardized and reproducible EV isolation protocols easy to implement in clinical practice are missing. Here, a size exclusion chromatography-based protocol for EV-isolation from human plasma was optimized. We propose a workflow to isolate EVs for transcriptional research that allows concomitant analysis of particle number and size, total protein, and quantification of a major plasma contaminant. This protocol yields 7.54 × 10

Indexed as

biomarkersclinical researchextracellular vesiclesplasmasize exclusion chromatographytherapytranscriptional research

Identifiers

PMID32913880
PMCPMC7452272
OpenAlexW3042851164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.