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Related Experiment Videos

Dynamics of global gene expression changes during mouse preimplantation development.

Toshio Hamatani1, Mark G Carter, Alexei A Sharov

  • 1Developmental Genomics and Aging Section, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, 333 Cassell Drive, Suite 3000, Baltimore, MD 21224, USA.

Developmental Cell
|January 16, 2004
PubMed
Summary

This study reveals two key gene activation waves during early embryonic development: zygotic genome activation (ZGA) and mid-preimplantation gene activation (MGA). Maternal RNA translation is crucial for initiating ZGA, forming a gene activation cascade.

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Area of Science:

  • Reproductive biology and developmental science.
  • Genomics and molecular biology.

Background:

  • Preimplantation development is critical for reproduction, regenerative medicine, and livestock breeding.
  • Understanding gene expression dynamics is key to deciphering early embryonic development.

Purpose of the Study:

  • To characterize global expression profiles during preimplantation development.
  • To identify distinct patterns of maternal RNA degradation and zygotic gene activation.
  • To elucidate the regulatory cascade controlling early embryonic gene expression.

Main Methods:

  • Global gene expression profiling of embryos.
  • Analysis of maternal RNA degradation and de novo transcription.
  • Embryo treatment with inhibitors of transcription, translation, and DNA replication.

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Main Results:

  • Identified two major transient waves of de novo transcription: zygotic genome activation (ZGA) and mid-preimplantation gene activation (MGA).
  • MGA precedes the morula-to-blastocyst transition.
  • Maternal RNA translation is essential for initiating ZGA.
  • Proposed a gene activation cascade: maternal RNA/protein sets → ZGA gene sets → MGA gene sets.

Conclusions:

  • Early embryonic development involves a precisely regulated cascade of gene activation.
  • Maternal factors play a critical role in initiating zygotic gene expression.
  • The identified gene sets provide a foundation for analyzing complex gene regulatory networks in development.