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Updated: Jun 16, 2026
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Electroporation-Based Genetic Modification of Primary Human Pigment Epithelial Cells Using the Sleeping Beauty Transposon System
Published on: February 4, 2021
An Optimized Protocol for piggyBac-Induced iPSC Generation from hPBMCs by Automatic Electroporation
Pelin Kilic1,2, Begum Cosar3,4
1Department of Stem Cells and Regenerative Medicine, Stem Cell Institute, Ankara University, Ankara, Turkey. pkilic@ankara.edu.tr.
Methods in Molecular Biology (Clifton, N.J.)
|August 31, 2023
Summary
Induced pluripotent stem cells (iPSCs) were efficiently generated from peripheral blood mononuclear cells (PBMCs) using an optimized reprogramming protocol. This method utilizes an automated electroporator and the piggyBac system for robust iPSC generation.
Area of Science:
- Stem Cell Biology
- Molecular Biology
- Cellular Reprogramming
Background:
- Induced pluripotent stem cells (iPSCs) hold significant potential for disease modeling, drug discovery, and regenerative medicine.
- Generating iPSCs requires careful optimization of multiple technical parameters for successful reprogramming.
- Yamanaka transcription factors are key to inducing pluripotency in somatic cells in vitro.
Purpose of the Study:
- To describe an optimized and efficient protocol for generating iPSCs from human peripheral blood mononuclear cells (PBMCs).
- To highlight the use of an automated electroporator and the piggyBac system for enhanced reprogramming efficiency.
Main Methods:
- Isolation of PBMCs from peripheral blood samples.
- Reprogramming of PBMCs into iPSCs using the piggyBac transposon system.
- Utilizing an automated electroporator for efficient cell transfection and reprogramming.
Main Results:
- Successful and efficient reprogramming of PBMCs into iPSCs was achieved.
- The optimized protocol streamlines the iPSC generation process, addressing key optimization factors.
Conclusions:
- The described method provides a robust and efficient approach for iPSC generation from PBMCs.
- This optimized protocol facilitates the use of iPSCs for disease modeling and therapeutic applications.
