A dynamical model of genetic networks for cell differentiation.
A mathematical model is proposed which is able to describe the most important features of cell differentiation, without requiring specific detailed assumptions concerning the interactions which drive the phenomenon. On the contrary, cell differentiation is described here as an emergent property of a...
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2011
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oai:doaj.org-article:f7fd6732b49246239ae3a0ff2064cde92021-11-18T06:57:05ZA dynamical model of genetic networks for cell differentiation.1932-620310.1371/journal.pone.0017703https://doaj.org/article/f7fd6732b49246239ae3a0ff2064cde92011-03-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21464974/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203A mathematical model is proposed which is able to describe the most important features of cell differentiation, without requiring specific detailed assumptions concerning the interactions which drive the phenomenon. On the contrary, cell differentiation is described here as an emergent property of a generic model of the underlying gene regulatory network, and it can therefore be applied to a variety of different organisms. The model points to a peculiar role of cellular noise in differentiation and leads to non trivial predictions which could be subject to experimental testing. Moreover, a single model proves able to describe several different phenomena observed in various differentiation processes.Marco VillaniAlessia BarbieriRoberto SerraPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 3, p e17703 (2011) |
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Medicine R Science Q Marco Villani Alessia Barbieri Roberto Serra A dynamical model of genetic networks for cell differentiation. |
description |
A mathematical model is proposed which is able to describe the most important features of cell differentiation, without requiring specific detailed assumptions concerning the interactions which drive the phenomenon. On the contrary, cell differentiation is described here as an emergent property of a generic model of the underlying gene regulatory network, and it can therefore be applied to a variety of different organisms. The model points to a peculiar role of cellular noise in differentiation and leads to non trivial predictions which could be subject to experimental testing. Moreover, a single model proves able to describe several different phenomena observed in various differentiation processes. |
format |
article |
author |
Marco Villani Alessia Barbieri Roberto Serra |
author_facet |
Marco Villani Alessia Barbieri Roberto Serra |
author_sort |
Marco Villani |
title |
A dynamical model of genetic networks for cell differentiation. |
title_short |
A dynamical model of genetic networks for cell differentiation. |
title_full |
A dynamical model of genetic networks for cell differentiation. |
title_fullStr |
A dynamical model of genetic networks for cell differentiation. |
title_full_unstemmed |
A dynamical model of genetic networks for cell differentiation. |
title_sort |
dynamical model of genetic networks for cell differentiation. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2011 |
url |
https://doaj.org/article/f7fd6732b49246239ae3a0ff2064cde9 |
work_keys_str_mv |
AT marcovillani adynamicalmodelofgeneticnetworksforcelldifferentiation AT alessiabarbieri adynamicalmodelofgeneticnetworksforcelldifferentiation AT robertoserra adynamicalmodelofgeneticnetworksforcelldifferentiation AT marcovillani dynamicalmodelofgeneticnetworksforcelldifferentiation AT alessiabarbieri dynamicalmodelofgeneticnetworksforcelldifferentiation AT robertoserra dynamicalmodelofgeneticnetworksforcelldifferentiation |
_version_ |
1718424206258995200 |