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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Format: | Article |
Language: | English |
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2015-11-09.
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Online Access: | Get fulltext Get fulltext |
LEADER | 01228 am a22001933u 4500 | ||
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001 | 383057 | ||
042 | |a dc | ||
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 |