Evidence map›Paper›PMID 41726706›Full record

ArticleACS omega2026

Detection of Organelle-Specific Dyes Labeled Extracellular Vesicles with Colocalization-Fluorescence Nanoparticle Tracking Analysis.

Getnet Midekessa, Kasun Godakumara, Mohammad Mehedi Hasan, Aneta Andronowska, Alireza Fazeli

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Getnet MidekessaDepartment of Pathophysiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu 50411, Estonia.
Kasun GodakumaraInstitute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu 51006, Estonia.
Mohammad Mehedi HasanResearch Department of Maternal and Fetal Medicine, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London WC1E 6HX, U.K.
Aneta AndronowskaInstitute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn 10-683, Poland.
Alireza FazeliDepartment of Pathophysiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu 50411, Estonia.ORCID https://orcid.org/0000-0003-0870-9914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most cell types release a diverse array of extracellular vesicles (EVs) that contribute to intercellular communication. In particular, considering the heterogeneity of EVs, methods capable of identifying and measuring individual vesicles are limited. Here, we used fluorescence and colocalization Nanoparticle Tracking Analysis (NTA) to identify the subcellular origin of vesicles and determine their physical characteristics, as well as colocalization ratios of endoplasmic (ER) and Mitochondria (Mito) positive EVs in human choriocarcinoma cells (JAr) and bovine follicular fluids (BFF). The labeling efficiency for ER-labeled JAr EVs purified in SEC was 67.11 ± 25.40%, compared to 96.27 ± 13.72% of BFF EVs. Regarding Mito dye labeling efficiency, SEC-purified BFF EVs (14.21 ± 7.45%) provided lower Mito-positive fluorescent particles than JAr EVs (25.74 ± 4.46%). The proportion of CellMask Deep-Red (CMDR) membrane labeling of nanoparticles varied across JAr and BFF EVs. Furthermore, colocalization analysis of ER and Mito-dye-labeled JAr and BFF revealed potential intracellular interactions between organelles and the EV biogenesis pathways. The integration of novel colocalization technology into fluorescence-NTA (F-NTA) represents a significant advancement in the field of single EV particle analysis in deepening our understanding of EV biology.

Identifiers

PMID41726706
PMCPMC12917633

What Socratic holds

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Registered trials

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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 Socratic graph.