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Updated: Aug 5, 2025

Universal and Efficient Electroporation Protocol for Genetic Engineering of Gastrointestinal Organoids
Published on: February 18, 2020
Gene Electrotransfer Efficiency in 2D and 3D Cancer Cell Models Using Different Electroporation Protocols: A
Alexia de Caro1, Elisabeth Bellard1, Jelena Kolosnjaj-Tabi1
1Institut de Pharmacologie et de Biologie Structurale du CNRS UMR 5089, 205, Route de Narbonne, 31077 Toulouse CEDEX, France.
Gene electrotransfer shows promise for cancer therapy but faces challenges in 3D tumors. Pulse duration significantly impacts gene delivery efficiency, hindering core spheroid transfection despite cell permeabilization.
Area of Science:
- Biotechnology
- Molecular Biology
- Oncology
Background:
- Electroporation uses electric fields for non-viral gene transfer, showing potential for cancer treatment.
- Gene electrotransfer is effective in vitro but faces challenges in complex 3D tumor environments.
Purpose of the Study:
- To compare gene electrotransfer efficiency using different pulsed electric field protocols in 2D and 3D cell cultures.
- To investigate the impact of pulse parameters on gene delivery in multicellular spheroids.
Main Methods:
- Comparison of electrochemotherapy and gene electrotherapy pulsed electric field protocols.
- Assessment of "High Voltage-Low Voltage" pulse variations.
- Evaluation of cell permeabilization and gene delivery in 2D cell suspensions and 3D multicellular spheroids.
Main Results:
- All tested protocols effectively permeabilized both 2D and 3D cells.
- Gene electrotransfer protocols showed higher efficiency in cell suspensions (approx. 50% transfection rate).
- Despite uniform permeabilization in 3D spheroids, gene delivery was limited to the spheroid periphery.
Conclusions:
- Electric field intensity and cell permeabilization are crucial for gene electrotransfer.
- Pulse duration is critical, as it affects plasmid electrophoretic mobility, which is hindered in 3D structures.
- Current gene electrotransfer methods struggle to deliver genes into the core of 3D tumor models.
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