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Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle

Author

Listed:
  • Ran Kafri

    (Harvard Medical School)

  • Jason Levy

    (University of Ottawa)

  • Miriam B. Ginzberg

    (Harvard Medical School)

  • Seungeun Oh

    (Harvard Medical School)

  • Galit Lahav

    (Harvard Medical School)

  • Marc W. Kirschner

    (Harvard Medical School)

Abstract

A mathematical method, known as ergodic rate analysis, has been developed and used to study the rates of molecular events from single time measurements of large populations of fixed cells; this new method is able to overcome some of the previous limitations with regards to studying cell-size control.

Suggested Citation

  • Ran Kafri & Jason Levy & Miriam B. Ginzberg & Seungeun Oh & Galit Lahav & Marc W. Kirschner, 2013. "Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle," Nature, Nature, vol. 494(7438), pages 480-483, February.
    • Handle: RePEc:nat:nature:v:494:y:2013:i:7438:d:10.1038_nature11897
    DOI: 10.1038/nature11897
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    Cited by:

    1. Mohammad Soltani & Cesar A Vargas-Garcia & Duarte Antunes & Abhyudai Singh, 2016. "Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-23, August.
    2. Yael Korem & Pablo Szekely & Yuval Hart & Hila Sheftel & Jean Hausser & Avi Mayo & Michael E Rothenberg & Tomer Kalisky & Uri Alon, 2015. "Geometry of the Gene Expression Space of Individual Cells," PLOS Computational Biology, Public Library of Science, vol. 11(7), pages 1-27, July.

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