Evidence map›Paper›PMID 32250120›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2020

Gold Nanocluster Extracellular Vesicle Supraparticles: Self-Assembled Nanostructures for Three-Dimensional Uptake Visualization.

Ulrike Kauscher, Jelle Penders, Anika Nagelkerke, Margaret N Holme, Valeria Nele, Lucia Massi, Sahana Gopal, Thomas E Whittaker, Molly M Stevens

Open access · hybridAbstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors at 3 institutions in 3 countries.

Anika NagelkerkeUniversity of Groningen, Groningen Research Institute of Pharmacy, Pharmaceutical Analysis, POB 196 XB20, NL-9700 AD Groningen, The Netherlands.
Margaret N HolmeDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm SE-171 77, Sweden.ORCID 0000-0002-7314-9493
Valeria Nele
Lucia Massi
Sahana Gopal
Thomas E Whittaker
Molly M StevensDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm SE-171 77, Sweden.ORCID 0000-0002-7335-266X
NIHR Imperial Biomedical Research Centre · GBKarolinska Institutet · SEUniversity of Groningen · NL

Funding

Wellcome TrustWellcome Trust 098411/Z/12/Z
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are secreted by the vast majority of cells and are being intensively studied due to their emerging involvement in a variety of cellular communication processes. However, the study of their cellular uptake and fate has been hampered by difficulty in imaging EVs against the cellular background. Here, we show that EVs combined with hydrophobic gold nanoclusters (AuNCs) can self-assemble into supraparticles, offering an excellent labeling strategy for high-resolution electron microscopic imaging in vitro. We have tracked and visualized the reuptake of breast cancer cell-derived EV AuNC supraparticles into their parent cells, from early endocytosis to lysosomal degradation, using focused ion beam-scanning electron microscopy (FIB-SEM). The presence of gold within the EVs and lysosomes was confirmed via DF-STEM EDX analysis of lift-out sections. The demonstrated formation of AuNC EV supraparticles will facilitate future applications in EV imaging as well as the EV-assisted cellular delivery of AuNCs.

Identifiers

PMID32250120
PMCPMC7161082
OpenAlexW3014500774

What OpenQuestion holds

Textmetadata
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.