Effects of an RNA control layer on the state space of Boolean models of genetic regulatory networks

Jennifer S. Hallinan, Daniel R. Bradley, John S. Mattick, Janet Wiles*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

The general assumption in biology is that most genes encode proteins. However, it is now evident that much of the genome of humans and other complex organisms is transcribed into non-protein-coding RNAs. Some of these RNAs are processed into small regulatory RNAs, such as microRNAs, that control many aspects of animal and plant development. It has been suggested that regulatory RNAs represent an additional control layer that was critical to the emergence of complex organisms. We examine this possibility using a model of cell differentiation based on attractors in boolean networks. Our simulation studies show that an additional layer of RNA control modeled as fast temporal links can significantly increase the number of attractors in boolean models of genetic regulatory networks (analogous to the number of cell types in a complex organism). However, it also has the power to simplify the state space structure. We explore the conditions under which these different outcomes occur.

Original languageEnglish
Title of host publication2006 IEEE Congress on Evolutionary Computation
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2551-2555
Number of pages5
ISBN (Print)0780394879, 9780780394872
DOIs
Publication statusPublished - Jul 2006
Externally publishedYes
Event2006 IEEE Congress on Evolutionary Computation, CEC - 2006 - Vancouver, Canada
Duration: 16 Jul 200621 Jul 2006

Other

Other2006 IEEE Congress on Evolutionary Computation, CEC - 2006
CountryCanada
CityVancouver
Period16/07/0621/07/06

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