Evidence map›Paper›PMID 40920759›Full record

ArticleJournal of visualized experiments : JoVE2025

High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds.

Robert H Williamson, Alexia K Cash, Anna E Riordan, Michael B Sano

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Robert H WilliamsonNorth Carolina State University; rhwilli4@ncsu.edu.
Alexia K CashNorth Carolina State University.
Anna E RiordanNorth Carolina State University.
Michael B SanoNorth Carolina State University.

Funding

Academic-Industrial Partnership to Develop Clinical Tools for Algorithmic Irreversible Electroporation of Inoperable TumorsR01CA272550 · NCI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI SANO, MICHAEL BENJAMIN · 2022 to 2025
$2.8M
NCI NIH HHS R01 CA272550
6 · The paper itself

Abstract

Electroporation is a promising technology utilizing electrical pulses for macromolecule delivery and soft-tissue ablation, with applications that include next-generation prophylactics and the treatment of genetic diseases such as cancer. This study demonstrates a high-throughput capable 3D tissue culture model for quantification of the reversible and irreversible electroporation thresholds for a given electroporation protocol. By using a non-uniform electric field and analyzing the spatial distribution of transfected cells, both reversible and irreversible thresholds can be identified within a single sample, increasing the efficiency at which electroporation protocols can be characterized, especially for in vivo translation. To show this capability, 3D tissue mimics containing HEK293 cells were transfected using a ring and pin electrode to deliver a GFP-encoding plasmid. Electroporation thresholds were then derived based on fluorescent microscopy images of the transfected samples. This model demonstrates potential for use as a means for high-throughput evaluation of electroporation protocols, a key advantage over current methods to evaluate these thresholds, which tend to be time-intensive and are less representative of in vivo conditions.

Indexed as

Cell Culture Techniques, Three DimensionalElectroporationHigh-Throughput Screening AssaysHEK293 CellsHumansPlasmidsTransfection

Identifiers

PMID40920759
PMCPMC13395548

What OpenQuestion holds

Textmetadata
LicenceTDM
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.