Evidence map›Paper›PMID 39769916›Full record

ReviewMolecules (Basel, Switzerland)2024

Recent Advancements in Imaging Techniques for Individual Extracellular Vesicles.

Tatsuki Isogai, Koichiro M Hirosawa, Kenichi G N Suzuki

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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.

Tatsuki IsogaiThe United Graduate School of Agricultural Science, Gifu University, Gifu 501-1193, Japan.ORCID 0009-0002-0691-3460
Koichiro M HirosawaInstitute for Glyco-Core Research (iGCORE), Gifu University, Gifu 501-1193, Japan.
Kenichi G N SuzukiThe United Graduate School of Agricultural Science, Gifu University, Gifu 501-1193, Japan.

Funding

Japan Science and Technology Agency JPMJCR18H2Japan Science and Technology Agency JPMJSP2125Japan Society for the Promotion of Science 23KJ1045Japan Society for the Promotion of Science 24K01974Japan Society for the Promotion of Science 24K21944Japan Society for the Promotion of Science JSCCA202000007National Cancer Centre Japan 2023-A-03
6 · The paper itself

Abstract

Extracellular vesicles (EVs), secreted from most cells, are small lipid membranes of vesicles of 30 to 1000 nm in diameter and contain nucleic acids, proteins, and intracellular organelles originating from donor cells. EVs play pivotal roles in intercellular communication, particularly in forming niches for cancer cell metastasis. However, EVs derived from donor cells exhibit significant heterogeneity, complicating the investigation of EV subtypes using ensemble averaging methods. In this context, we highlight recent studies that characterize individual EVs using advanced techniques, including single-fluorescent-particle tracking, single-metal-nanoparticle tracking, single-non-label-particle tracking, super-resolution microscopy, and atomic force microscopy. These techniques have facilitated high-throughput analyses of the properties of individual EV particles such as their sizes, compositions, and physical properties. Finally, we address the challenges that need to be resolved via single-particle (-molecule) imaging and super-resolution microscopy in future research.

Indexed as

Extracellular VesiclesSingle Molecule ImagingAnimalsCell CommunicationHumansMicroscopy, Atomic Forcedark-field imagingextracellular vesiclessingle-particle trackingsuper-resolution single-molecule localization microscopytotal internal reflection fluorescence microscopy

Identifiers

PMID39769916
PMCPMC11728280

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.