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Identifying DNA Mutations in Purified Hematopoietic Stem/Progenitor Cells
Published on: February 24, 2014
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Identifying DNA mutations in purified hematopoietic stem/progenitor cells
Ziming Cheng1, Ting Zhou2, Azhar Merchant1
1Greehey Children's Cancer Research Institute, UT Health Science Center at San Antonio.
Journal of Visualized Experiments : Jove
|March 19, 2014
Summary
Genomic instability in stem cells contributes to disease. This study details using LacI transgenic mice to measure DNA mutations in hematopoietic stem cells, aiding disease etiology research.
Area of Science:
- Genetics and Molecular Biology
- Stem Cell Biology
- Genomic Instability Research
Background:
- Genomic instability is linked to developmental disorders, cancer, and aging.
- Stem cells are crucial for tissue maintenance and repair, making their genomic integrity vital.
- Understanding factors affecting stem cell DNA integrity is key to addressing stem cell-related diseases.
Purpose of the Study:
- To adapt the LacI transgenic mouse model for assessing spontaneous DNA mutations in stem cells.
- To quantify mutation frequencies in specific hematopoietic stem and progenitor cell populations.
- To provide a detailed methodology for this in vivo mutagenesis assay.
Main Methods:
- Utilized LacI transgenic mice containing a reporter gene for DNA mutations.
- Developed a method to isolate and analyze DNA from stem cell-enriched populations (LSK cells).
- Employed a system where mutations in the LacI gene are detected by blue plaque formation after infecting E. coli.
Main Results:
- The LacI transgenic mouse model allows for the detection and sequencing of DNA mutations in stem cells.
- The described method enables the measurement of spontaneous mutation frequencies in hematopoietic stem and progenitor cells.
- This approach provides insights into the types and locations of mutations within the LacI gene.
Conclusions:
- The LacI transgenic mouse model is a viable and well-established tool for in vivo mutagenesis assays.
- This methodology can be specifically applied to study genomic integrity in hematopoietic stem cells.
- The findings contribute to understanding the etiology of stem cell-based diseases by quantifying DNA mutation rates.

