Cell fate regulatory networks
Cell fate regulatory networks
Cell fate decisions are controlled by intrinsically complex molecular regulatory networks, involving a wide variety of protein–protein and protein-DNA interactions. Due to this complexity, it is difficult to understand molecular regulation of cell fate at the ‘systems’ level. In this chapter we discuss mathematical modeling of cell fate regulatory networks, and explain some ways in which mathematical techniques may be used to elucidate the essential molecular mechanisms that underly cell fate determination. We consider both Boolean networks and ordinary differential equation (ODE) models. We give an illustrative worked example of an ODE model of a simple irreversible molecular switch due to an self-enhancing positive feedback loop and discuss how various commonly-occurring network ‘motifs’ can give rise to certain well-defined dynamics, including switches and oscillators. We conclude with some words on the role of stochasticity in cell fate regulatory networks.
978-94-007-4329-8
15-29
Ridden, Sonya, J.
f5cd375a-6ba3-4c05-967f-eed2cae66748
MacArthur, Ben D.
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
28 June 2012
Ridden, Sonya, J.
f5cd375a-6ba3-4c05-967f-eed2cae66748
MacArthur, Ben D.
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
Ridden, Sonya, J. and MacArthur, Ben D.
(2012)
Cell fate regulatory networks.
In,
Ma'ayan, Avi and MacArthur, Ben D.
(eds.)
New Frontiers of Network Analysis in Systems Biology.
Dordrecht, NL.
Springer, .
(doi:10.1007/978-94-007-4330-4_2).
Record type:
Book Section
Abstract
Cell fate decisions are controlled by intrinsically complex molecular regulatory networks, involving a wide variety of protein–protein and protein-DNA interactions. Due to this complexity, it is difficult to understand molecular regulation of cell fate at the ‘systems’ level. In this chapter we discuss mathematical modeling of cell fate regulatory networks, and explain some ways in which mathematical techniques may be used to elucidate the essential molecular mechanisms that underly cell fate determination. We consider both Boolean networks and ordinary differential equation (ODE) models. We give an illustrative worked example of an ODE model of a simple irreversible molecular switch due to an self-enhancing positive feedback loop and discuss how various commonly-occurring network ‘motifs’ can give rise to certain well-defined dynamics, including switches and oscillators. We conclude with some words on the role of stochasticity in cell fate regulatory networks.
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More information
Published date: 28 June 2012
Organisations:
Human Development & Health, Applied Mathematics
Identifiers
Local EPrints ID: 341013
URI: http://eprints.soton.ac.uk/id/eprint/341013
ISBN: 978-94-007-4329-8
PURE UUID: 3e9c206e-6b29-45df-ad67-1ae29c770d92
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Date deposited: 11 Jul 2012 10:51
Last modified: 15 Mar 2024 03:07
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Contributors
Author:
Sonya, J. Ridden
Editor:
Avi Ma'ayan
Editor:
Ben D. MacArthur
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