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 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.

• Publication year

  2011

• Venue

  PLoS ONE

• Publication date

  2011-03-18

• Fields of study

  Biology, Mathematics, Physics, Medicine

• Identifiers
  DOI 10.1371/journal.pone.0017703PMID 21464974PMCID 3060813
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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