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Updated: Jun 28, 2026

CRISPR/Cas9-Mediated Highly Efficient Gene Targeting in Embryonic Stem Cells for Developing Gene-Manipulated Mouse Models
Published on: August 24, 2022
Pooling and PCR as a method to combat low frequency gene targeting in mouse embryonic stem cells
A C Brown1, C P Lerner, J H Graber
1The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA, aaron.brown@jax.org.
This study introduces an efficient ES cell pooling strategy using polymerase chain reaction (PCR) to detect gene-targeted clones. This method significantly reduces screening efforts for identifying homologous recombination events in mouse embryonic stem cells.
Area of Science:
- * Molecular Biology
- * Gene Editing
- * Mammalian Genetics
Background:
- * Gene targeting in mouse embryonic stem (ES) cells is crucial for understanding mammalian biology.
- * Traditional methods often struggle with low homologous recombination frequencies, leading to failed isolation of targeted clones.
- * Enhancing detection and frequency of homologous recombination is key for successful gene targeting.
Purpose of the Study:
- * To present an ES cell pooling strategy to improve the detection of gene-targeted clones.
- * To overcome challenges associated with low targeting efficiency in ES cells.
- * To streamline the process of identifying positively targeted ES cell clones.
Main Methods:
- * Development of an ES cell pooling strategy.
- * Utilization of polymerase chain reaction (PCR) for sensitive detection of targeted events within pooled samples.
- * Screening of approximately 2,300 ES cell colonies using only 123 PCR reactions.
Main Results:
- * Successful identification of targeted ES cell clones from large populations.
- * Significant reduction in the number of individual colonies requiring screening.
- * Demonstrated efficiency in detecting homologous recombination events despite low targeting frequency.
Conclusions:
- * The described ES cell pooling strategy effectively enhances the detection of targeted clones.
- * This method streamlines the gene targeting workflow, reducing experimental complexity.
- * The approach bypasses the need to re-engineer targeting constructs with low efficiency.
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