Evidence map›Paper›PMID 40616660›Full record

ArticleMikrochimica acta2025

Non-invasive detection of VEGF secretion from small clusters of mesenchymal stem cells using VEGF-SSSA integrated into the CellStudio platform.

Enrique Azuaje-Hualde, Naiara Lartitegui-Meneses, Fernando Benito-Lopez, Lourdes Basabe-Desmonts

Erratum issuedAbstract read
In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Enrique Azuaje-HualdeMicrofluidics Cluster UPV/EHU, BIOMICs Microfluidics Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.
Naiara Lartitegui-MenesesMicrofluidics Cluster UPV/EHU, BIOMICs Microfluidics Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.
Fernando Benito-LopezMicrofluidics Cluster UPV/EHU, Analytical Microsystems & Materials for Lab-On-a-Chip (AMMa-LOAC) Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain. fernando.benito@ehu.eus.
Lourdes Basabe-DesmontsMicrofluidics Cluster UPV/EHU, BIOMICs Microfluidics Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain. Lourdes.basabe@ehu.eus.

Funding

Agencia Estatal de Investigación PID2020-120313GB-I00 / AIE / 10.13039/501100011033Eusko Jaurlaritza IT1633-22Eusko Jaurlaritza POS2023_1_0014
6 · The paper itself

Abstract

Accurately detecting cell secretions in complex microenvironments is crucial for understanding cellular communication, disease progression, and therapeutic responses. Traditional methods, such as ELISA, provide limited insight into the spatiotemporal dynamics of secretions, often requiring invasive or endpoint analyses. To address these challenges, we have functionalized the CellStudio platform-previously developed to integrate cell adhesion areas and microbeads patterns-with a novel self-reporting structure-switching signaling aptamer (SSSA) for vascular endothelial growth factor (VEGF) detection. This functionalization enables in situ single-step, real-time quantification of VEGF secretion from hundreds of live mesenchymal stem cell (MSC) clusters over a 24-h period, using standard fluorescence microscopy without the need for cell fixation. The spatial resolution provided by this system enables precise, localized monitoring of secretion events without the need to add extra reagents. This user-friendly platform is easily adaptable to conventional laboratory workflows, offering a versatile tool with potential for studying cellular behavior in real time with minimal technical barriers.

Indexed as

Aptamers, NucleotideMesenchymal Stem CellsVascular Endothelial Growth Factor ACells, CulturedHumansMicroscopy, FluorescenceAptamers, NucleotideVascular Endothelial Growth Factor AVEGFA protein, humanAnalytical platformsAptasensorCell behaviorCell secretionLive-cell analysisMicroenvironment

Identifiers

PMID40616660
PMCPMC12228592

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LicenceCC BY
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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 OpenQuestion graph.