Evidence map›Paper›PMID 38939054›Full record

ArticleJournal of extracellular biology2022

Comparing digital detection platforms in high sensitivity immune-phenotyping of extracellular vesicles.

Roberto Frigerio, Angelo Musicò, Alessandro Strada, Greta Bergamaschi, Stefano Panella, Cristina Grange, Marcello Marelli, Anna M Ferretti, Gabriella Andriolo, Benedetta Bussolati and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of extracellular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Osmotic Remodeling of Extracellular Vesicles for Precision Nanomedicine.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Endo-lysosomal dysfunction in neurodegenerative diseases: opinion on current progress and future direction in the use of exosomes as biomarkers.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Roberto FrigerioIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Angelo MusicòIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Alessandro StradaIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Greta BergamaschiIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Stefano PanellaIstituto Cardiocentro Ticino, Ente Ospedaliero Cantonale Lugano Switzerland.
Cristina GrangeDepartment of Medical Sciences University of Turin Turin Italy.
Marcello MarelliIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Anna M FerrettiIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Gabriella AndrioloIstituto Cardiocentro Ticino, Ente Ospedaliero Cantonale Lugano Switzerland.
Benedetta BussolatiDepartment of Molecular Biotechnology and Health Sciences University of Turin Turin Italy.
Lucio BarileIstituto Cardiocentro Ticino, Ente Ospedaliero Cantonale Lugano Switzerland.ORCID https://orcid.org/0000-0002-5827-0439
Marcella ChiariIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Alessandro GoriIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.
Marina CretichIstituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC) - Consiglio Nazionale delle Ricerche Milano Italy.ORCID https://orcid.org/0000-0001-8251-5275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their clinical potential, Extracellular Vesicles (EVs) struggle to take the scene as a preeminent source of biomarkers in liquid biopsy. Limitations in the use of EVs origin from their inherent complexity and heterogeneity and from the sensitivity demand in detecting low to very low abundant disease-specific sub-populations. Such need can be met by digital detection, namely capable to reach the single-molecule sensitivity. Here we set to compare, side by side, two digital detection platforms that have recently gained increasing importance in the field of EVs. The platforms, both commercially available, are based on the principles of the Single Particle Interferometric Reflectance Imaging Sensing (SP-IRIS) and the Single Molecule Array technology (SiMoA) respectively. Sensitivity in immune-phenotyping of a well characterized EV sample is reported, discussing possible applicative implications and rationales for alternative or complementary use of the two platforms in biomarker discovery or validation.

Indexed as

digital detectionextracellular vesiclesimmunoassaysliquid biopsy

Identifiers

PMID38939054
PMCPMC11080918

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.