• Open Access

Entropy, Ergodicity, and Stem Cell Multipotency

Sonya J. Ridden, Hannah H. Chang, Konstantinos C. Zygalakis, and Ben D. MacArthur
Phys. Rev. Lett. 115, 208103 – Published 9 November 2015
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Abstract

Populations of mammalian stem cells commonly exhibit considerable cell-cell variability. However, the functional role of this diversity is unclear. Here, we analyze expression fluctuations of the stem cell surface marker Sca1 in mouse hematopoietic progenitor cells using a simple stochastic model and find that the observed dynamics naturally lie close to a critical state, thereby producing a diverse population that is able to respond rapidly to environmental changes. We propose an information-theoretic interpretation of these results that views cellular multipotency as an instance of maximum entropy statistical inference.

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  • Received 27 April 2015

DOI:https://doi.org/10.1103/PhysRevLett.115.208103

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Authors & Affiliations

Sonya J. Ridden1, Hannah H. Chang2, Konstantinos C. Zygalakis1, and Ben D. MacArthur1,3,*

  • 1Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
  • 25AM Ventures, Boston, Massachusetts 02109, USA
  • 3Centre for Human Development, Stem Cells and Regeneration, University of Southampton, Southampton SO16 6YD, United Kingdom

  • *Corresponding author bdm@soton.ac.uk

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Vol. 115, Iss. 20 — 13 November 2015

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