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Competing memories of mitogen and p53 signalling control cell-cycle entry

Author

Listed:
  • Hee Won Yang

    (Stanford University School of Medicine, Stanford)

  • Mingyu Chung

    (Stanford University School of Medicine, Stanford)

  • Takamasa Kudo

    (Stanford University School of Medicine, Stanford)

  • Tobias Meyer

    (Stanford University School of Medicine, Stanford)

Abstract

Mother cells transmit mitogen-induced CCND1 mRNA and DNA damage-induced p53 protein to newly born daughter cells, where synthesized cyclin D1 and the p53-regulated CDK inhibitor p21 directly compete to decide between proliferation and quiescence.

Suggested Citation

  • Hee Won Yang & Mingyu Chung & Takamasa Kudo & Tobias Meyer, 2017. "Competing memories of mitogen and p53 signalling control cell-cycle entry," Nature, Nature, vol. 549(7672), pages 404-408, September.
    • Handle: RePEc:nat:nature:v:549:y:2017:i:7672:d:10.1038_nature23880
    DOI: 10.1038/nature23880
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    Citations

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    Cited by:

    1. Nishtha Pandey & P K Vinod, 2018. "Mathematical modelling of reversible transition between quiescence and proliferation," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-15, June.
    2. Debasish Paul & Stephen C. Kales & James A. Cornwell & Marwa M. Afifi & Ganesha Rai & Alexey Zakharov & Anton Simeonov & Steven D. Cappell, 2022. "Revealing β-TrCP activity dynamics in live cells with a genetically encoded biosensor," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Mimi Zhang & Sungsoo Kim & Hee Won Yang, 2023. "Non-canonical pathway for Rb inactivation and external signaling coordinate cell-cycle entry without CDK4/6 activity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Zack W Jones & Rachel Leander & Vito Quaranta & Leonard A Harris & Darren R Tyson, 2018. "A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-20, February.
    5. Andrea Riba & Attila Oravecz & Matej Durik & Sara Jiménez & Violaine Alunni & Marie Cerciat & Matthieu Jung & Céline Keime & William M. Keyes & Nacho Molina, 2022. "Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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