Stochasticity of metabolism and growth at the single-cell level

Daniel J. Kiviet (), Philippe Nghe, Noreen Walker, Sarah Boulineau, Vanda Sunderlikova and Sander J. Tans ()
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Daniel J. Kiviet: FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands
Philippe Nghe: FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands
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

Nature, 2014, vol. 514, issue 7522, 376-379

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

Date: 2014
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DOI: 10.1038/nature13582

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