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Systematic approaches to mouse mutagenesis.

S D Brown1, R Balling

  • 1MRC Mammalian Genetics Unit and UK Mouse Genome Centre, OX11 ORD, Harwell, UK. s.brown@har.mrc.ac.uk

Current Opinion in Genetics & Development
|May 30, 2001
PubMed
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Determining mammalian gene function is a challenge. Large-scale ENU mutagenesis programs efficiently generate mouse mutants for gene function studies, but require downstream technology development.

Area of Science:

  • Genetics
  • Mammalian Genetics
  • Functional Genomics

Background:

  • Post-genomics research faces challenges in systematically determining mammalian gene function.
  • Various gene- and phenotype-driven mouse mutagenesis technologies are crucial for comprehensive gene function studies.
  • Large-scale ENU (N-ethyl-N-nitrosourea) mutagenesis programs have been completed, utilizing a phenotype-driven strategy.

Purpose of the Study:

  • To highlight the significance of ENU mutagenesis in advancing mammalian gene function studies.
  • To emphasize the need for parallel developments in downstream technologies.
  • To address the challenge of systematically determining mammalian gene function in the post-genomic era.

Main Methods:

  • Utilizing phenotype-driven approaches for mouse mutant generation.

Related Experiment Videos

  • Implementing large-scale ENU mutagenesis programs.
  • Focusing on systematic and comprehensive studies of mammalian gene function.
  • Main Results:

    • ENU mutagenesis provides a powerful and efficient method for mammalian gene function studies.
    • Large-scale ENU mutagenesis programs have successfully generated significant numbers of mouse mutants.
    • The creation of extensive mouse mutant resources is a key outcome.

    Conclusions:

    • ENU mutagenesis is a highly effective strategy for exploring mammalian gene function.
    • Further development of downstream technologies is essential to fully leverage the generated mouse mutant resources.
    • Systematic gene function determination remains a critical area of research in post-genomics.