Evidence map›Paper›PMID 37526034›Full record

ReviewDisease models & mechanisms2023

Studying exogenous extracellular vesicle biodistribution by in vivo fluorescence microscopy.

Sien Yee Lau, Matthew Kang, Colin L Hisey, Lawrence W Chamley

Open access · goldAbstract readReview
In one paragraph

Review in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Sien Yee LauDepartment of Obstetrics and Gynaecology, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0001-7543-5138
Matthew KangDepartment of Obstetrics and Gynaecology, University of Auckland, Auckland 1023, New Zealand.
Colin L HiseyDepartment of Obstetrics and Gynaecology, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0001-8732-3600
Lawrence W ChamleyDepartment of Obstetrics and Gynaecology, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0002-7501-1340
University of Auckland · NZ

Funding

Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic MicrofluidicsK99EB033857 · NIBIB · OHIO STATE UNIVERSITY · PI HISEY, COLIN LEE · 2023 to 2024
$200k
NIBIB NIH HHS K99 EB033857
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are lipid-bound vesicles released from cells that play a crucial role in many physiological processes and pathological mechanisms. As such, there is great interest in their biodistribution. One currently accessible technology to study their fate in vivo involves fluorescent labelling of exogenous EVs followed by whole-animal imaging. Although this is not a new technology, its translation from studying the fate of whole cells to subcellular EVs requires adaptation of the labelling techniques, excess dye removal and a refined experimental design. In this Review, we detail the methods and considerations for using fluorescence in vivo and ex vivo imaging to study the biodistribution of exogenous EVs and their roles in physiology and disease biology.

Indexed as

Extracellular VesiclesMicroscopy, FluorescenceAnimalsHumansTissue DistributionBiodistributionExosomesExtracellular vesiclesFluorescenceImagingLabellingMicrovesicles

Identifiers

PMID37526034
PMCPMC10417515
OpenAlexW4385442170

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.