ArticleACS omega2022
Human Microglia Extracellular Vesicles Derived from Different Microglia Cell Lines: Similarities and Differences.
Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Activated Microglia-Derived Extracellular Vesicles Elicit a Pro-Inflammatory Astrocytic Response via Cargo-Dependent Mechanisms.Biomolecules · 2026Article
- HMC3 revealed: how much do these "Microglia" really tell us?Frontiers in immunology · 2026Review
- Characterization of human cytomegalovirus infection dynamics in human microglia.The Journal of general virology · 2025Article
- 18 kDa TSPO targeting drives polarized human microglia towards a protective and restorative neurosteroidome profile.Cellular and molecular life sciences : CMLS · 2025Article
- Extracellular adenosine oppositely regulates the purinome machinery in glioblastoma and mesenchymal stem cells.IUBMB life · 2024Article
- The Yin and Yang of Microglia-Derived Extracellular Vesicles in CNS Injury and Diseases.Cells · 2024Review
- Advances in proteomic phenotyping of microglia in neurodegeneration.Proteomics · 2023Review
- Secreted endogenous macrosomes reduce Aβ burden and ameliorate Alzheimer's disease.Science advances · 2023Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microglial cells are a component of the innate immune system in the brain that support cell-to-cell communication via secreted molecules and extracellular vesicles (EVs). EVs can be divided into two major populations: large (LEVs) and small (SEVs) EVs, carrying different mediators, such as proteins, lipids, and miRNAs. The microglia EVs cargo crucially reflects the status of parental cells and can lead to both beneficial and detrimental effects in many physiopathological states. Herein, a workflow for the extraction and characterization of SEVs and LEVs from human C20 and HMC3 microglia cell lines derived, respectively, from adult and embryonic microglia is reported. EVs were gathered from the culture media of the two cell lines by sequential ultracentrifugation steps and their biochemical and biophysical properties were analyzed by Western blot, transmission electron microscopy, and dynamic light scattering. Although the C20- and HMC3-derived EVs shared several common features, C20-derived EVs were slightly lower in number and more polydispersed. Interestingly, C20- but not HMC3-SEVs were able to interfere with the proliferation of U87 glioblastoma cells. This correlated with the different relative levels of eight miRNAs involved in neuroinflammation and tumor progression in the C20- and HMC3-derived EVs, which in turn reflected a different basal activation state of the two cell types. Our data fill a gap in the community of microglia EVs, in which the preparations from human cells have been poorly characterized so far. Furthermore, these results shed light on both the differences and similarities of EVs extracted from different human microglia cell models, underlining the need to better characterize the features and biological effects of EVs for therein useful and correct application.
Identifiers
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Registered trials
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.