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. 2014 May 28;9(5):e97272. doi: 10.1371/journal.pone.0097272

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© 2014 Graudenzi et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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An example NRBN with genes is shown, boolean functions are omitted. Two initial genetic configurations yield two gene activation patterns: attractors and , whose noise-resistance is evaluated via flipping different nodes in different phases and leading to an Attractors Transition Matrix. The emerging lineage commitment tree consists of cell types (one for each Threshold Ergodic Set for the noise thresholds , and ). The differentiation level corresponds to the noise-resistance, e.g., the toti-/multi-potent stem-alike cell type (pink) roams among all possible gene activation patterns, the grey/yellow cell types are fully differentiated cells. This model of differentiation has branches, i.e. a newborn pink cell has probability of differentiating in a green or yellow cell proportional to the properties of the attractors (see Figure 4).

Inline graphic — An example NRBN with genes is shown, boolean functions are omitted. Two initial genetic configurations yield two gene activation patterns: attractors and , whose noise-resistance is evaluated via flipping different nodes in different phases and leading to an Attractors Transition Matrix. The emerging lineage commitment tree consists of cell types (one for each Threshold Ergodic Set for the noise thresholds , and ). The differentiation level corresponds to the noise-resistance, e.g., the toti-/multi-potent stem-alike cell type (pink) roams among all possible gene activation patterns, the grey/yellow cell types are fully differentiated cells. This model of differentiation has branches, i.e. a newborn pink cell has probability of differentiating in a green or yellow cell proportional to the properties of the attractors (see Figure 4).