Entropy, ergodicity, and stem cell multipotency
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 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
Ridden, Sonya
f5cd375a-6ba3-4c05-967f-eed2cae66748
Chang, Hannah
13c59f79-c1b4-4a31-9429-87a3c0a0bfb4
Zygalakis, Konstantinos
b33af985-d6aa-403a-b42b-aa79219184f8
MacArthur, Benjamin
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
9 November 2015
Ridden, Sonya
f5cd375a-6ba3-4c05-967f-eed2cae66748
Chang, Hannah
13c59f79-c1b4-4a31-9429-87a3c0a0bfb4
Zygalakis, Konstantinos
b33af985-d6aa-403a-b42b-aa79219184f8
MacArthur, Benjamin
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
Ridden, Sonya, Chang, Hannah, Zygalakis, Konstantinos and MacArthur, Benjamin
(2015)
Entropy, ergodicity, and stem cell multipotency.
Physical Review Letters, 115 (20), [208103].
(doi:10.1103/PhysRevLett.115.208103).
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
Text
1504.07266v3.pdf
- Accepted Manuscript
Other
PhysRevLett.115.208103
- Version of Record
More information
Accepted/In Press date: 16 October 2015
e-pub ahead of print date: 9 November 2015
Published date: 9 November 2015
Organisations:
Centre for Human Development, Stem Cells and Regeneration, Institute of Developmental Sciences
Identifiers
Local EPrints ID: 383057
URI: http://eprints.soton.ac.uk/id/eprint/383057
PURE UUID: 57b331f9-480b-4217-a6c6-b4d7c79c17d8
Catalogue record
Date deposited: 06 Nov 2015 14:11
Last modified: 15 Mar 2024 03:07
Export record
Altmetrics
Contributors
Author:
Sonya Ridden
Author:
Hannah Chang
Author:
Konstantinos Zygalakis
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
