Evidence map›Paper›PMID 42836038›Full record

ArticleJournal of extracellular biology2026

EV-SPEC: Decoding the Spatial Proteomic Signature of the Extracellular Vesicle Corona.

Camille Menaceur Vandenbroucke, Carsten Scavenius, Yuya Hayashi

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Camille Menaceur VandenbrouckeDepartment of Molecular Biology and Genetics Aarhus University Aarhus C Denmark.ORCID https://orcid.org/0000-0001-8941-6261
Carsten ScaveniusDepartment of Molecular Biology and Genetics Aarhus University Aarhus C Denmark.ORCID https://orcid.org/0000-0002-4304-0681
Yuya HayashiDepartment of Molecular Biology and Genetics Aarhus University Aarhus C Denmark.ORCID https://orcid.org/0000-0002-7090-0990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of protein corona formation around extracellular vesicles (EVs) has given birth to new insights into how cells may recognize EVs by proteins presented at the EV surface. Here we present spatially resolved proteomics using the biotin ligase TurboID to map proteins interacting at the EV surface, without a need for physical isolation of the EV-corona complexes. TurboID promiscuously biotinylates nearby proteins within a few nm distance from the fused 'bait' protein. We genetically engineered EVs by modifying CD63 as the bait protein to which TurboID was fused facing outward to map EV corona proteins. Biotinylated proteins were then analysed by Western blotting and liquid chromatography-mass spectrometry. Western blots revealed protein patterns that are distinct depending on the localization of the fused TurboID. The mass spectrometry analysis identified many of the serum proteins commonly known to form a corona around a synthetic solid nanoparticle, also supporting those previously reported through the physical isolation approaches. Rather striking is, however, the EV corona footprint of endogenous proteins that tells us about the EV biogenesis and what the intrinsic endogenous corona might look like. This approach, which we coined EV-SPEC (Spatial Proteomics of Endogenous Corona), has thus the potential to revolutionize our understanding of EV biology by shifting the focus from the EVs themselves to the proteins that make up the corona, or how the cell 'sees' them, in analogy with the biomolecular corona extensively characterized for synthetic nanoparticles.

Indexed as

endogenous protein coronaextracellular vesicle biogenesisgenetically engineered extracellular vesiclesproximity labellingspatial proteomics

Identifiers

PMID42836038
PMCPMC13637086

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.