Evidence map›Paper›PMID 29599781›Full record

ArticleFrontiers in immunology2018

Extracellular Vesicle Subtypes Released From Activated or Apoptotic T-Lymphocytes Carry a Specific and Stimulus-Dependent Protein Cargo.

Christine Tucher, Konrad Bode, Petra Schiller, Laura Claßen, Carolin Birr, Maria Margarida Souto-Carneiro, Norbert Blank, Hanns-Martin Lorenz, Martin Schiller

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

70 citing papers in PubMed, 123 citations in OpenAlex.

  1. Review
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  8. Extracellular vesicles: innovative cell-free solutions for wound repair.Frontiers in bioengineering and biotechnology · 2025
    Review
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  10. Article
  11. Review
  12. Article
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  14. Article
  15. Review
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  18. Emerging role of exosomes in hematological malignancies.Clinical and experimental medicine · 2023
    Review
  19. Review
  20. Article

10 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Christine TucherDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Konrad BodeDepartment of Infectious Diseases, Medical Microbiology and Hygiene, University Hospital Heidelberg, Heidelberg, Germany.
Petra SchillerDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Laura ClaßenDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Carolin BirrDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Maria Margarida Souto-CarneiroDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Norbert BlankDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Hanns-Martin LorenzDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Martin SchillerDivision of Rheumatology, Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
University Hospital Heidelberg · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are released from nearly all mammalian cells and different EV populations have been described. Microvesicles represent large EVs (LEVs) released from the cellular surface, while exosomes are small EVs (SEVs) released from an intracellular compartment. As it is likely that different stimuli promote the release of distinct EV populations, we analyzed EVs from human lymphocytes considering the respective release stimuli (activation Vs. apoptosis induction). We could clearly separate two EV populations, namely SEVs (average diameter <200 nm) and LEVs (diameter range between 200 and 1000 nm). Morphology and size were analyzed by electron microscopy and nanoparticle tracking analysis. Apoptosis induction caused a massive release of LEVs, while activated T-cells released SEVs and LEVs in considerably lower amounts. The release of SEVs from apoptotic T-cells was comparable with LEV release from activated ones. LEVs contained signaling proteins and proteins of the actin-myosin cytoskeleton. SEVs carried cytoplasmic/endosomal proteins like the 70-kDa heat shock protein 70 (HSP70) or tumor susceptibility 101 (TSG101), microtubule-associated proteins, and ubiquitinated proteins. The protein expression profile of SEVs and LEVs changed substantially after the induction of apoptosis. After apoptosis induction, HSP70 and TSG101 (often used as exosome markers) were highly expressed within LEVs. Interestingly, in contrast to HSP70 and TSG101, gelsolin and eps15 homology domain-containing protein 3 (EHD3) turned out to be specific for SEVs irrespective of the stimulus causing the EV release. Finally, we detected several subunits of the proteasome (PSMB9, PSMB10) as well as the danger signal HMGB1 exclusively within apoptotic cell-released LEVs. Thus, we were able to identify new marker proteins that can be useful to discriminate between distinct LEV subpopulations. The mass spectrometry proteomics data are available

Indexed as

Extracellular VesiclesT-LymphocytesApoptosisCells, CulturedHumansLeukocytes, MononuclearProteinsProteomicsProteinsapoptosisexosomesextracellular vesiclesmicrovesiclesstimulus-dependent release

Identifiers

PMID29599781
PMCPMC5862858
OpenAlexW2791493148

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LicenceCC BY
Read underepoch 390

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.