The Effects of a Simplified Model of Chromatin Dynamics on Attractors Robustness in Random Boolean Networks with Self-loops: An Experimental Study

2020 ◽  
pp. 28-37
Author(s):  
Michele Braccini ◽  
Andrea Roli ◽  
Marco Villani ◽  
Sara Montagna ◽  
Roberto Serra
Keyword(s):  
Experimental Study ◽  
Boolean Networks ◽  
Simplified Model ◽  
Chromatin Dynamics ◽  
Random Boolean Networks

scholarly journals Dynamical properties and path dependence in a gene-network model of cell differentiation

2020 ◽  
Author(s):  
Michele Braccini ◽  
Andrea Roli ◽  
Marco Villani ◽  
Roberto Serra
Keyword(s):  
Cell Differentiation ◽  
Network Model ◽  
Gene Network ◽  
Path Dependence ◽  
Control Mechanism ◽  
Boolean Networks ◽  
Biological Cells ◽  
Random Boolean Networks ◽  
Dynamical Properties

Abstract In this work, we explore the properties of a control mechanism exerted on random Boolean networks that takes inspiration from the methylation mechanisms in cell differentiation and consists in progressively freezing (i.e. clamping to 0) some nodes of the network. We study the main dynamical properties of this mechanism both theoretically and in simulation. In particular, we show that when applied to random Boolean networks, it makes it possible to attain dynamics and path dependence typical of biological cells undergoing differentiation.

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