Evidence map›Paper›PMID 39692094›Full record

ReviewJournal of extracellular vesicles2024

Challenges of MS-based small extracellular vesicles proteomics.

Daniel Fochtman, Lukasz Marczak, Monika Pietrowska, Anna Wojakowska

Abstract readReview
In one paragraph

Review in Journal of extracellular vesicles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  8. Review
  9. Article
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  11. Article
  12. Secretion of Extracellular Microvesicles Induced by a Fraction ofInternational journal of molecular sciences · 2025
    Article
  13. Review
  14. Review
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

4 authors.

Daniel FochtmanInstitute of Bioorganic Chemistry Polish Academy of Sciences, Poznan, Poland.ORCID 0000-0002-0754-7012
Lukasz MarczakInstitute of Bioorganic Chemistry Polish Academy of Sciences, Poznan, Poland.
Monika PietrowskaMaria Sklodowska-Curie National Research Institute of Oncology, Gliwice, Poland.
Anna WojakowskaInstitute of Bioorganic Chemistry Polish Academy of Sciences, Poznan, Poland.ORCID 0000-0002-4541-1239

Funding

National Science Centre, Poland 2021/43/B/NZ7/02221
6 · The paper itself

Abstract

Proteomic profiling of small extracellular vesicles (sEV) is a powerful tool for discovering biomarkers of various diseases. This process most often assisted by mass spectrometry (MS) usually lacks standardization and recognition of challenges which may lead to unreliable results. General recommendations for sEV MS analyses have been briefly given in the MISEV2023 guidelines. The present work goes into detail for every step of sEV protein profiling with an overview of factors influencing such analyses. This includes reporting and defining the sEV source and vesicle isolation, protein solubilization and digestion, 'offline' and 'online' sample complexity reduction, the analysis type itself, and subsequent data analysis. Every stage in this process affects the others, which could result in different outcomes. Although characterization and comparisons of different sEV isolation methods are known and accessible and MS-based profiling details are provided for cell or tissue samples, no consensus work has been ever published to describe the whole process of sEV proteomic analysis. Reliable results can be obtained from sEV profiling provided that the analysis is well planned, prepared for, and backed by pilot studies or appropriate research.

Indexed as

Extracellular VesiclesMass SpectrometryProteomicsAnimalsBiomarkersHumansBiomarkersextracellular vesiclesmass spectrometryproteomicsreliabilitysEV isolation

Identifiers

PMID39692094
PMCPMC11653094

What OpenQuestion holds

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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.