Evidence map›Paper›PMID 41402386›Full record

ArticleScientific reports2025

Fast and efficient intracellular delivery of large size nanoparticles into mammalian cells by in situ electroporation.

Marta Maschietto, Enzo Cancedda, Daniele Andrean, Stefano Vassanelli

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Marta Maschietto *Department of Biomedical Sciences, Section of Physiology, University of Padua, via F. Marzolo 3, Padua, 35131, Italy.
Enzo Cancedda *Department of Biomedical Sciences, Section of Physiology, University of Padua, via F. Marzolo 3, Padua, 35131, Italy.
Daniele AndreanDepartment of Information Engineering, University of Padua, Via Gradenigo, 6/b, Padua, 35131, Italy.
Stefano VassanelliDepartment of Biomedical Sciences, Section of Physiology, University of Padua, via F. Marzolo 3, Padua, 35131, Italy. stefano.vassanelli@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles of various sizes and materials are widely used for targeted intracellular delivery in mammalian cell models. However, endocytic uptake often leads to endosomes embedding, reducing delivery efficiency, especially for larger particles. Electroporation offers a direct means of accessing the cytosol, bypassing this limitation. Here, we employ a microchip featuring integrated capacitive microelectrodes to perform spatially selective, rapid and efficient electroporation of 200 nm fluorescent nanoparticles into adherent CHO-K1 epithelial cells. Operating at low voltage amplitudes, the system minimizes cellular damage while maintaining high delivery efficiency. We confirm effective cytoplasmic delivery and preferential perinuclear localization of internalized nanoparticles, with minimal impact on cell viability. Through a biophysical two-compartment model of the cell-microelectrode system, we simulate and explain the dependency of delivery efficiency of nanoparticles from the characteristics of electroporation stimuli and from cell geometry. The approach represents a promising platform for applications such as nanoparticle-mediated drug delivery and high-throughput screening even with particles approaching or exceeding 100 nm in diameter.

Indexed as

Drug Delivery SystemsElectroporationNanoparticlesAnimalsCell SurvivalCHO CellsCricetinaeCricetulusMicroelectrodesParticle SizeDeliveryDrugElectroporationMedicinePersonalizedPrecision

Identifiers

PMID41402386
PMCPMC12819381

What OpenQuestion 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 OpenQuestion graph.