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Genome Editing in Mammalian Cell Lines using CRISPR-Cas
Published on: April 11, 2019
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A qPCR method for genome editing efficiency determination and single-cell clone screening in human cells
Bo Li1, Naixia Ren1, Lele Yang1
1Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao, China.
Scientific Reports
|December 13, 2019
Summary
This study introduces a novel real-time PCR method for accurately assessing genome editing efficiency after CRISPR/Cas9 or base editing treatments. The technique enables rapid screening of single-cell clones for desired genetic modifications.
Area of Science:
- Molecular Biology
- Genetics
- Biotechnology
Background:
- CRISPR/Cas9 is a powerful tool for genome editing, but evaluating its efficiency and screening clones remains challenging.
- Existing methods for assessing genome editing outcomes are often time-consuming or lack precision.
- There is a need for a rapid and accurate method to quantify genome editing events in various applications.
Purpose of the Study:
- To develop and validate a real-time PCR method for evaluating genome editing efficiency.
- To enable rapid screening of single-cell clones for desired genetic modifications.
- To provide a practical tool for quantifying indel, HDR, and base editing events.
Main Methods:
- Developed a real-time PCR assay leveraging Taq DNA polymerase's sensitivity to 3' end nucleotide mismatches.
- Applied the method to assess CRISPR/Cas9 and base editor (BE4) treatments targeting EMX1, DYRK1A, and HOXB13 genes in Lenti-X 293T cells.
- Utilized genomic DNA from treated cells for one-round qPCR analysis.
Main Results:
- The real-time PCR method accurately and quickly determined genome editing efficiency for indel, HDR, and base editing.
- The assay successfully enabled accurate genotype determination of single-cell clones.
- Demonstrated comprehensive advantages in evaluating genome editing in various gene targets.
Conclusions:
- The developed real-time PCR method offers a rigorous and practical approach for quantifying genome editing events.
- This technique significantly improves the efficiency of assessing CRISPR/Cas9 and base editing outcomes.
- Provides a valuable tool for researchers involved in genome engineering and cell line development.

