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Related Experiment Videos

ES cell cycle rates affect gene targeting frequencies

G B Udy1, B D Parkes, D N Wells

  • 1Molecular Embryology Group, AgResearch, Ruakura Research Centre, Hamilton, New Zealand. udyg@agresearch.cri.nz

Experimental Cell Research
|March 15, 1997
PubMed
Summary

Gene targeting frequency in embryonic stem cells varies significantly between cell lines, correlating inversely with cell doubling times. Modifying cell culture conditions impacts this frequency, offering insights for experimental optimization.

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Area of Science:

  • Molecular Biology
  • Cell Biology
  • Genetics

Background:

  • Gene targeting in embryonic stem cells (ESCs) is crucial for genetic engineering.
  • Variability in gene targeting efficiency between ESC lines complicates experimental outcomes.
  • Understanding factors influencing gene targeting is essential for reproducible research.

Purpose of the Study:

  • To investigate the relationship between cell cycle parameters and gene targeting frequency in ESCs.
  • To determine if cell doubling time influences the rate of homologous recombination.
  • To identify strategies for optimizing gene targeting efficiency in ESCs.

Main Methods:

  • Assessed gene targeting frequencies at the hprt locus in various ESC lines with differing cell cycle parameters.

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  • Compared targeting frequencies between isogenic and nonisogenic cell lines.
  • Manipulated serum concentration in culture medium to alter cell doubling times in R1 ESCs.

    • Main Results:

    • Gene targeting frequency varied up to 12-fold between nonisogenic ESC lines and 3-fold between isogenic lines.
    • Nonisogenic lines showed up to 21-fold higher homologous recombination rates compared to isogenic lines.
    • A clear inverse linear correlation was observed between gene targeting frequencies and cell doubling times.

    Conclusions:

    • Cell doubling time is a significant factor influencing gene targeting efficiency in ESCs.
    • Modulating cell culture conditions, such as serum concentration, can predictably alter gene targeting rates.
    • These findings provide critical insights into experimental variability and offer methods for optimizing gene targeting protocols.