Evidence map›Paper›PMID 32341767›Full record

ArticleJournal of extracellular vesicles2020

Fourier-transform Infrared (FT-IR) spectroscopy fingerprints subpopulations of extracellular vesicles of different sizes and cellular origin.

Lucia Paolini, Stefania Federici, Giovanni Consoli, Diletta Arceri, Annalisa Radeghieri, Ivano Alessandri, Paolo Bergese

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
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  8. Review
  9. Article
  10. Protein Analysis by FT-IR/ATR Spectroscopy.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Immunoaffinity-enriched salivary small extracellular vesicles in periodontitis.Extracellular vesicles and circulating nucleic acids · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Lucia PaoliniDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.ORCID 0000-0002-4410-5272
Stefania FedericiDepartment of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy.ORCID 0000-0001-7118-8766
Giovanni ConsoliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Diletta ArceriDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Annalisa RadeghieriDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.ORCID 0000-0003-2737-1090
Ivano AlessandriConsorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Florence, Italy.ORCID 0000-0003-0332-0723
Paolo BergeseDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.ORCID 0000-0002-4652-2168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of extracellular vesicle (EV) subpopulations remains an open challenge. To date, the common strategy is based on searching and probing set of molecular components and physical properties intended to be univocally characteristics of the target subpopulation. Pitfalls include the risk to opt for an unsuitable marker set - which may either not represent the subpopulation or also cover other unintended subpopulations - and the need to use different characterization techniques and equipment. This approach focused on specific markers may result inadequate to routinely deal with EV subpopulations that have an intrinsic high level of heterogeneity. In this paper, we show that Fourier-transform Infrared (FT-IR) spectroscopy can provide a collective fingerprint of EV subpopulations in one single experiment. FT-IR measurements were performed on large (LEVs, ~600 nm), medium (MEVs, ~200 nm) and small (SEVs ~60 nm) EVs enriched from two different cell lines medium: murine prostate cancer (TRAMP-C2) and skin melanoma (B16). Spectral regions between 3100-2800 cm

Indexed as

collective fingerprintEV subpopulationsExtracellular vesiclesFourier-transform Infrared spectroscopy (FT-IR)Principal Component Analysis (PCA)

Identifiers

PMID32341767
PMCPMC7170381

What OpenQuestion holds

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LicenceCC BY-NC
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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.