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Histone arginine methylation regulates pluripotency in the early mouse embryo

Author

Listed:
  • Maria-Elena Torres-Padilla

    (University of Cambridge)

  • David-Emlyn Parfitt

    (University of Cambridge)

  • Tony Kouzarides

    (University of Cambridge)

  • Magdalena Zernicka-Goetz

    (University of Cambridge)

Abstract

Early developers The assumption that the cells of the mammalian embryo are identical until they form into 'inside' and 'outside' cells was overturned by the recent discovery that cells in the mouse differ in cell fate from as early as the four-cell stage. An epigenetic (non-DNA coded) mechanism seemed likely, and that has now been shown to be the case. Differential epigenetic modification (arginine methylation) of histone H3 in the four-cell mouse blastomere changes the fate of embryo cells and can maintain a cell in a pluripotent state.

Suggested Citation

  • Maria-Elena Torres-Padilla & David-Emlyn Parfitt & Tony Kouzarides & Magdalena Zernicka-Goetz, 2007. "Histone arginine methylation regulates pluripotency in the early mouse embryo," Nature, Nature, vol. 445(7124), pages 214-218, January.
  • Handle: RePEc:nat:nature:v:445:y:2007:i:7124:d:10.1038_nature05458
    DOI: 10.1038/nature05458
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    Cited by:

    1. Nicolas Allègre & Sabine Chauveau & Cynthia Dennis & Yoan Renaud & Dimitri Meistermann & Lorena Valverde Estrella & Pierre Pouchin & Michel Cohen-Tannoudji & Laurent David & Claire Chazaud, 2022. "NANOG initiates epiblast fate through the coordination of pluripotency genes expression," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Azelle Hawdon & Niall D. Geoghegan & Monika Mohenska & Anja Elsenhans & Charles Ferguson & Jose M. Polo & Robert G. Parton & Jennifer Zenker, 2023. "Apicobasal RNA asymmetries regulate cell fate in the early mouse embryo," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Jianlin Shao & Dong Xu & Sau-Na Tsai & Yifei Wang & Sai-Ming Ngai, 2009. "Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction," PLOS ONE, Public Library of Science, vol. 4(3), pages 1-7, March.

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