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Related Experiment Video

Updated: May 2, 2026

Mouse Genome Engineering Using Designer Nucleases

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

Genome engineering with targetable nucleases.

¹Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, Utah 84112;

Annual Review of Biochemistry

|March 11, 2014

Summary

This summary is machine-generated.

Advanced genome editing tools like zinc-finger nucleases (ZFNs), TALENs, and CRISPR/Cas RNA-guided nucleases (RGNs) allow precise DNA modifications. These technologies harness cellular repair pathways for gene inactivation or sequence alteration.

Keywords:

CRISPR/Cas DNA repair HR NHEJ TALENs gene targeting homologous recombination nonhomologous end joining zinc-finger nucleases

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Area of Science:

Molecular Biology
Genetics
Biotechnology

Background:

Genome modification technologies are advancing rapidly.
Targetable DNA cleavage reagents and cellular DNA repair pathways are crucial for precise genetic alterations.
Nonhomologous end joining (NHEJ) and homologous recombination (HR) are key cellular repair mechanisms.

Purpose of the Study:

To review three classes of targetable DNA cleavage reagents: ZFNs, TALENs, and RGNs.
To discuss the properties, advantages, and limitations of each genome editing system.
To highlight considerations for using these tools in diverse biological systems.

Main Methods:

Review of scientific literature on ZFNs, TALENs, and RGNs.
Analysis of DNA cleavage mechanisms and cellular repair pathways (NHEJ and HR).
Comparison of the efficiency, specificity, and applications of different genome editing systems.

Main Results:

ZFNs, TALENs, and RGNs enable highly specific genome modifications.
NHEJ can lead to gene inactivation, while HR allows for precise sequence insertion.
These reagents have been successfully applied across various cell types and organisms, including humans.

Conclusions:

Targetable DNA cleavage reagents offer powerful tools for genomic research and biotechnology.
Understanding the nuances of each system (ZFNs, TALENs, RGNs) is vital for successful application.
Future considerations include optimizing delivery and minimizing off-target effects for broader use.