Entropy, ergodicity, and stem cell multipotency

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 an...

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Bibliographic Details
Main Authors: Ridden, Sonya (Author), Chang, Hannah (Author), Zygalakis, Konstantinos (Author), MacArthur, Benjamin (Author)
Format: Article
Language:English
Published: 2015-11-09.
Subjects:
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100 1 0 |a Ridden, Sonya  |e author 
700 1 0 |a Chang, Hannah  |e author 
700 1 0 |a Zygalakis, Konstantinos  |e author 
700 1 0 |a MacArthur, Benjamin  |e author 
245 0 0 |a Entropy, ergodicity, and stem cell multipotency 
260 |c 2015-11-09. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/383057/1/1504.07266v3.pdf 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/383057/2/PhysRevLett.115.208103 
520 |a 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 
540 |a accepted_manuscript 
540 |a cc_by_4 
655 7 |a Article