Evidence map›Paper›PMID 41951990›Full record

ArticleAnnals of biomedical engineering2026

Altering Charge-Balance via Patterned Bipolar Pulses for Successful Gene Electrotransfer.

Alexia K Cash, Robert H Williamson, Driss Elhanafi, Michael B Sano

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Alexia K CashNorth Carolina State University, Raleigh, NC, USA. akcash@ncsu.edu.ORCID http://orcid.org/0009-0006-9021-6770
Robert H WilliamsonNorth Carolina State University, Raleigh, NC, USA.
Driss ElhanafiNorth Carolina State University, Raleigh, NC, USA.
Michael B SanoNorth Carolina State University, Raleigh, NC, USA.

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
Development of an INSPIRE System for the Treatment of Inoperable Liver TumorsR01CA276232 · NCI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Michael Benjamin Sano · 2023 to 2026
$2.3M
Commercialization of Algorithmic Non-thermal Ablation Technology for the Treatment of Inoperable TumorsR42CA275587 · NCI · GRADIENT MEDICAL, INC. · PI Jordan Fong, Michael Benjamin Sano · 2025 to 2026
$2.3M
Feasibility of a Multi-Phase Algorithmic Non-Thermal Ablation Technology for the Treatment of Inoperable TumorsR41CA275587 · NCI · GRADIENT MEDICAL, INC. · PI FONG, JORDAN · 2022 to 2022
$260k
National Cancer Institute of the National Institutes of Health R01CA272550National Cancer Institute of the National Institutes of Health R01CA276232National Cancer Institute of the National Institutes of Health R41CA275587NCI NIH HHS R01 CA272550NCI NIH HHS R01 CA276232NCI NIH HHS R41 CA275587NCI NIH HHS R42 CA275587
6 · The paper itself

Abstract

purposeTo determine if GET via charge-balanced patterned bipolar microsecond pulses could be improved, novel bursts of patterned bipolar microsecond pulsed electric fields were investigated in a cuvette and 3D tissue model to evaluate gene electrotransfer (GET) in vitro.

methodsVarious charge-balancing strategies were implemented to create bipolar microsecond waveforms. A cuvette model was used to identify optimal electric field intensities and plasmid concentrations for each protocol before cotransfection of two plasmids was evaluated in a cuvette and a 3D tissue model for a subset of best-performing protocols.

resultsThe 2-1-1 unbalanced, 1-1-0.5 unbalanced, and 2-1-1 burst-balanced protocols were the top bipolar microsecond protocols tested on HEK 293 cells and achieved GET efficiencies comparable to the top-performing 8x100μs conventional GET protocol. Of the patterned bipolar pulses, the highest performing was 2-1-1 Unbalanced at 1000 V/cm with a dose of 5 ms, a delivery rate of 200 μs/s, and a plasmid concentration of 1250 µg/mL. C28 chondrocytes were also tested via the cuvette model with 2-1-1 burst-balanced exceeding even the top-performing 8x100μs conventional protocol in GET efficiency.

conclusionPatterned bipolar microsecond GET tested in this study has similar transfection capabilities as conventional GET settings while maintaining viability and requiring lower plasmid concentration for similar results. The novel patterned waveforms tested potentially enhance electrophoretic effects, reducing the need for high plasmid concentrations in vivo. These waveforms were developed based on < 2 μs bipolar pulses (H-FIRE and INSPIRE) which have been shown to reduce muscle stimulations in vivo.

Indexed as

Bipolar pulsesCharge-balanced waveformsDNA deliveryElectroporationGene electrotransfer

Identifiers

PMID41951990
PMCPMC13484773

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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.