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Stochasticity of metabolism and growth at the single-cell level

Author

Listed:
  • Daniel J. Kiviet

    (FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands
    ETH Zurich, Universitaetsstrasse 16, 8092 Zurich, Switzerland
    Eawag, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland)

  • Philippe Nghe

    (FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands
    Present address: Laboratoire de Biochimie, UMR 8231 CNRS/ESPCI, École Supérieure de Physique et de Chimie industrielles, 10 rue Vauquelin, 75005 Paris, France.)

  • Noreen Walker

    (FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands)

  • Sarah Boulineau

    (FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands)

  • Vanda Sunderlikova

    (FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands)

  • Sander J. Tans

    (FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands)

Abstract

The inherent stochasticity in metabolic reactions is a potent source of phenotypic heterogeneity in cell populations, with potentially fundamental implications for cancer research.

Suggested Citation

  • Daniel J. Kiviet & Philippe Nghe & Noreen Walker & Sarah Boulineau & Vanda Sunderlikova & Sander J. Tans, 2014. "Stochasticity of metabolism and growth at the single-cell level," Nature, Nature, vol. 514(7522), pages 376-379, October.
    • Handle: RePEc:nat:nature:v:514:y:2014:i:7522:d:10.1038_nature13582
    DOI: 10.1038/nature13582
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    Cited by:

    1. Vera Bettenworth & Simon Vliet & Bartosz Turkowyd & Annika Bamberger & Heiko Wendt & Matthew McIntosh & Wieland Steinchen & Ulrike Endesfelder & Anke Becker, 2022. "Frequency modulation of a bacterial quorum sensing response," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Jessica A Lee & Siavash Riazi & Shahla Nemati & Jannell V Bazurto & Andreas E Vasdekis & Benjamin J Ridenhour & Christopher H Remien & Christopher J Marx, 2019. "Microbial phenotypic heterogeneity in response to a metabolic toxin: Continuous, dynamically shifting distribution of formaldehyde tolerance in Methylobacterium extorquens populations," PLOS Genetics, Public Library of Science, vol. 15(11), pages 1-38, November.
    3. Batista-Tomás, A.R. & De Martino, Andrea & Mulet, Roberto, 2024. "Effective noisy dynamics within the phenotypic space of a growth-rate maximizing population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    4. Shuangyu Bi & Manika Kargeti & Remy Colin & Niklas Farke & Hannes Link & Victor Sourjik, 2023. "Dynamic fluctuations in a bacterial metabolic network," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Sourabh Lahiri & Philippe Nghe & Sander J Tans & Martin Luc Rosinberg & David Lacoste, 2017. "Information-theoretic analysis of the directional influence between cellular processes," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-26, November.

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