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Updated: Sep 11, 2025

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Genome Editing with CompoZr Custom Zinc Finger Nucleases ZFNs
Published on: June 14, 2012
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Efficient Genome Editing Using the T2A-Coupled Co-Expression of Two ZFN Monomers
Shota Katayama1, Takashi Yamamoto1,2
1Genome Editing Innovation Center, Hiroshima University, Higashi-Hiroshima 739-0046, Japan.
International Journal of Molecular Sciences
|August 14, 2025
Summary
This study presents a novel method for co-expressing zinc finger nuclease (ZFN) monomers using a single DNA cassette. This approach reduces DNA size, enhancing ZFN applications in viral vectors for genome editing.
Area of Science:
- Molecular Biology
- Gene Editing Technologies
- Biotechnology
Background:
- Genome editing is a crucial tool in biomedical research.
- Zinc finger nucleases (ZFNs) are smaller than other genome editing tools like TALENs and CRISPR-Cas9, making them suitable for viral vectors.
- A limitation of ZFNs is the need for separate expression of left and right monomers, requiring two DNA cassettes, which increases vector size.
Purpose of the Study:
- To develop a method for co-expressing ZFN monomers from a single expression cassette.
- To overcome the size limitation of viral vectors for ZFN delivery.
- To maintain or improve genome editing efficiency with the new co-expression system.
Main Methods:
- Engineered T2A-coupled ZF-ND1 monomers for co-expression from a single DNA cassette.
- Transfection of the single expression cassette into target cells.
- Assessed DNA cleavage efficiency and compared genome editing outcomes with a two-cassette system.
Main Results:
- Successfully demonstrated co-expression of ZF-ND1 monomers using a single T2A-coupled expression cassette.
- The co-expressed ZF-ND1s efficiently cleaved target DNA sequences.
- Reduced the total transfected plasmid DNA amount by half while achieving equivalent genome editing efficiency compared to two separate monomers.
Conclusions:
- Co-expression of ZFN monomers via a single T2A-coupled cassette is feasible and efficient.
- This strategy significantly reduces DNA payload size, benefiting viral vector applications.
- Provides a promising framework for advancing ZFN-based genome editing technologies.
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