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Quantification of Genomic Mutations in Murine Hematopoietic Cells

  • Hartmut Geiger
  • Schleimer David
  • Kalpana J. Nattamai
  • Vijg Jan
Part of the Methods In Molecular Biology™ book series (MIMB, volume 506)

Summary

Maintaining the stability of the genome is critical to cell survival and normal cell growth. Genetic modification of hematopoietic cells might bear an inherent increased risk for the accumulation of DNA mutations. It frequently requires cultivation of the cells under super-physiological oxygen levels, which can result in increased oxidative damage, as well as under super-physiological concentrations of cytokines, which might interfere with DNA-damage checkpoint activation and by this means might result in an increased mutational load. We describe here a protocol for monitoring the frequency of DNA mutations in bone marrow cells post transduction or upon selection either in vitro or in vivo based on the lacZ-plasmid (pUR288) transgenic mouse (small blue mouse) mutation indicator strain.

Key words

Hematopoietic cells Gene transfer Mutation DNA damage Transgenic pUR288 

Notes

Acknowledgments

The author would like to thank Martijn Dollé and Rita Busuttil for their support in learning how to perform the assay and Sina Albert for support in establishing the assay in his laboratory. This work was supported in part by NIH grant R01 HL076604 as well as a New Scholar in Aging grant from The Ellison Medical Foundation.

References

  1. 1.
    Dolle, M.E., et al., Evaluation of a plasmid-based transgenic mouse model for detecting in vivo mutations. Mutagenesis, 1996. 11 (1): 111 – 8.CrossRefPubMedGoogle Scholar
  2. 2.
    Dolle, M.E., et al., Rapid accumulation of genome rearrangements in liver but not in brain of old mice [see comments]. Nat Genet, 1997. 17 (4): 431 – 4.CrossRefPubMedGoogle Scholar
  3. 3.
    Dolle, M.E., et al., Distinct spectra of somatic mutations accumulated with age in mouse heart and small intestine. Proc Natl Acad Sci U S A, 2000. 97 (15): 8403 – 8.CrossRefPubMedGoogle Scholar
  4. 4.
    Giese, H., et al., Age-related mutation accumulation at a lacZ reporter locus in normal and tumor tissues of Trp53-deficient mice. Mutat Res, 2002. 514 (1–2): 153 – 63.PubMedGoogle Scholar
  5. 5.
    Vijg, J. and M.E. Dolle, Large genome rearrangements as a primary cause of aging. Mech Ageing Dev, 2002. 123 (8): 907 – 15.CrossRefPubMedGoogle Scholar
  6. 6.
    Dolle, M.E. and J. Vijg, Genome dynamics in aging mice. Genome Res, 2002. 12 (11): 1732 – 8.CrossRefPubMedGoogle Scholar
  7. 7.
    Tutt, A.N., et al., Disruption of Brca2 increases the spontaneous mutation rate in vivo: synergism with ionizing radiation. EMBO Rep, 2002. 3 (3): 255 – 60.CrossRefPubMedGoogle Scholar
  8. 8.
    Geiger, H., et al., Mutagenic potential of temozolomide in bone marrow cells in vivo. Blood, 2006. 107 (7): 3010 – 1.CrossRefPubMedGoogle Scholar
  9. 9.
    Vijg, J., et al., Transgenic mouse models for studying mutations in vivo: applications in aging research [corrected and republished article originally printed in Mech Ageing Dev, 1997. 98(3): 189–202]. Mech Ageing Dev, 1997. 99 (3): 257 – 71.CrossRefPubMedGoogle Scholar
  10. 10.
    Dolle, M.E., et al., Characterization of color mutants in lacZ plasmid-based transgenic mice, as detected by positive selection. Mutagenesis, 1999. 14 (3): 287 – 93.CrossRefPubMedGoogle Scholar
  11. 11.
    Dolle, M.E., et al., Background mutations and polymorphisms in lacZ-plasmid transgenic mice. Environ Mol Mutagen, 1999. 34 (2–3): 112 – 20.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Hartmut Geiger
    • 1
  • Schleimer David
    • 1
  • Kalpana J. Nattamai
    • 1
  • Vijg Jan
    • 2
  1. 1.Division of Experimental Hematology, Cincinnati Children's Hospital Medical Center and Department of MedicineUniversity of CincinnatiCincinnatiUSA
  2. 2.Buck Institute for Age ResearchNovatoUSA

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