Evidence map›Paper›PMID 42629546›Full record

ArticleMikrochimica acta2026

Systematic optimization and comparative evaluation of exosome fluorescence labeling workflows based on cholesterol anchoring and copper-free click chemistry.

Ce Li, Yutong Zeng, Keyi Wei, Xinyan Li, Yan Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 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
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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

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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.

Ce LiSchool of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yutong ZengSchool of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China.
Keyi WeiSchool of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xinyan LiSchool of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China. lixy@sjtu.edu.cn.
Yan WangSchool of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China. wangyan11@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-9947-6751

Funding

Shanghai Science and Technology Commission Scientific Research Project 20142200400, 21440730300,19DZ2202200the National Natural Science Foundation of China 81874307, 21874088
6 · The paper itself

Abstract

Three exosome fluorescence-labeling workflows based on azide-functionalized cholesterol anchoring and copper-free click chemistry were systematically optimized and comparatively evaluated. A549 cell-derived exosomes were used as the primary model. By varying the sequence of azide introduction and fluorescent click reaction, one-step, two-step, and three-step protocols were compared. Under the tested conditions, the two-step protocol provided the most favorable overall balance among exosome recovery, fluorescence intensity normalized to exosome particle concentration, dye consumption, reaction volume, and operational simplicity. After labeling, the exosomes retained their typical morphology, particle size distribution, while the representative exosome-associated proteins CD63, CD81, and TSG101 remained detectable. The fluorescence intensity of the labeled exosomes showed a strong linear correlation with particle concentration, supporting its potential for rapid quantitative analysis. Cellular uptake experiments confirmed the feasibility of the labeled exosomes for in vitro imaging, and fluorescence remained detectable during the 24-h in vivo observation period. Overall, this study identifies an optimized two-step workflow for exosome fluorescence labeling and provides a practical approach for exosome visualization and tracking under the evaluated experimental conditions.

Indexed as

CholesterolExosomesFluorescent DyesA549 CellsAzidesClick ChemistryCopperHumansAzidesCholesterolCopperFluorescent DyesCholesterol anchoringCopper-free click chemistryExosomesFluorescent labelingWorkflow optimization

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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 OpenQuestion graph.