A simplified model of chromatin dynamics drives differentiation process in Boolean models of GRN


pagemagnifierBibTeX_logo.pngmagnifierpage_white_acrobatmagnifier

Michele Braccini, Andrea Roli, Marco Villani, Sara Montagna, Roberto Serra

“The 2019 Conference on Artificial Life”, pages 211-217
2019

 Cellular types of multicellular organisms are the stable results of complex intertwined processes that occur in biological cells. Among the many others, chromatin dynamics significantly contributes—by modulating access to genes—to differential gene expression, and ultimately to determine cell types. Here, we propose a dynamical model of differentiation based on a simplified bio-inspired methylation mechanism in Boolean models of GRNs. Preliminary results show that, as the number of methylated nodes increases, there is a decrease in attractor number and networks tend to assume dynamical behaviours typical of ordered ensembles. At the same time, results show that this mechanism does not affect the possibility of generating path dependent differentiation: cell types determined by the specific sequence of methylated genes. 

Tags:

Publication

— authors

Michele Braccini, Andrea Roli, Marco Villani, Sara Montagna, Roberto Serra

— status

published

— sort

paper in proceedings

— publication date

2019

— volume

The 2019 Conference on Artificial Life

— issue

31

— pages

211-217

URLs

original page

identifiers

— DOI

10.1162/isal_a_00163

— IRIS

11585/693154

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY