Evidence map›Paper›PMID 35415881›Full record

ArticleJournal of extracellular vesicles2022

Heterogeneity in extracellular vesicle secretion by single human macrophages revealed by super-resolution microscopy.

Susanne Dechantsreiter, Ashley R Ambrose, Jonathan D Worboys, Joey M E Lim, Sylvia Liu, Rajesh Shah, M Angeles Montero, Anne Marie Quinn, Tracy Hussell, Gillian M Tannahill and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 46 citations in OpenAlex.

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  20. Large extracellular vesicles derived from human regulatory macrophages (L-EVJournal of molecular medicine (Berlin, Germany) · 2023
    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

11 authors at 4 institutions in 2 countries.

Susanne DechantsreiterThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0003-2033-9725
Ashley R AmbroseThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-0639-0690
Jonathan D WorboysThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-8242-4901
Joey M E LimThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Sylvia LiuThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-9185-3564
Rajesh ShahDepartment of Cardiothoracic Surgery and Cellular Pathology, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
M Angeles MonteroCellular Pathology, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Anne Marie QuinnDepartment of Anatomic Pathology, University Hospital Galway, Galway, Ireland.ORCID 0000-0003-3986-399X
Tracy HussellThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0001-7186-6141
Gillian M TannahillGSK Medicines Research Centre, Stevenage, UK.
Daniel M DavisThe Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-9182-291X
Manchester Academic Health Science Centre · GBManchester University NHS Foundation Trust · GBAge UK · GBUniversity Hospital Galway · IE

Funding

GlaxoSmithKlineWellcome TrustWellcome Trust 110091/Z/15/Z
6 · The paper itself

Abstract

The diverse origins, nanometre-scale and invasive isolation procedures associated with extracellular vesicles (EVs) mean they are usually studied in bulk and disconnected from their parental cell. Here, we used super-resolution microscopy to directly compare EVs secreted by individual human monocyte-derived macrophages (MDMs). MDMs were differentiated to be M0-, M1- or M2-like, with all three secreting EVs at similar densities following activation. However, M0-like cells secreted larger EVs than M1- and M2-like macrophages. Proteomic analysis revealed variations in the contents of differently sized EVs as well as between EVs secreted by different MDM phenotypes. Super resolution microscopy of single-cell secretions identified that the class II MHC protein, HLA-DR, was expressed on ∼40% of EVs secreted from M1-like MDMs, which was double the frequency observed for M0-like and M2-like EVs. Strikingly, human macrophages, isolated from the resected lungs of cancer patients, secreted EVs that expressed HLA-DR at double the frequency and with greater intensity than M1-like EVs. Quantitative analysis of single-cell EV profiles from all four macrophage phenotypes revealed distinct secretion types, five of which were consistent across multiple sample cohorts. A sub-population of M1-like MDMs secreted EVs similar to lung macrophages, suggesting an expansion or recruitment of cells with a specific EV secretion profile within the lungs of cancer patients. Thus, quantitative analysis of EV heterogeneity can be used for single cell profiling and to reveal novel macrophage biology.

Indexed as

Extracellular VesiclesMicroscopyHLA-DR AntigensHumansMacrophagesProteomicsHLA-DR Antigensclass II MHC proteinextracellular vesiclesmacrophagessingle-cell analysissuper-resolution microscopy

Identifiers

PMID35415881
PMCPMC9006015
OpenAlexW4223526480

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.