| Evolving sensitivity balances Boolean Networks. | |
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MedLine Citation:
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PMID: 22586459 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We investigate the sensitivity of Boolean Networks (BNs) to mutations. We are interested in Boolean Networks as a model of Gene Regulatory Networks (GRNs). We adopt Ribeiro and Kauffman's Ergodic Set and use it to study the long term dynamics of a BN. We define the sensitivity of a BN to be the mean change in its Ergodic Set structure under all possible loss of interaction mutations. In silico experiments were used to selectively evolve BNs for sensitivity to losing interactions. We find that maximum sensitivity was often achievable and resulted in the BNs becoming topologically balanced, i.e. they evolve towards network structures in which they have a similar number of inhibitory and excitatory interactions. In terms of the dynamics, the dominant sensitivity strategy that evolved was to build BNs with Ergodic Sets dominated by a single long limit cycle which is easily destabilised by mutations. We discuss the relevance of our findings in the context of Stem Cell Differentiation and propose a relationship between pluripotent stem cells and our evolved sensitive networks. |
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Authors:
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Jamie X Luo; Matthew S Turner |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2012-05-07 |
Journal Detail:
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Title: PloS one Volume: 7 ISSN: 1932-6203 ISO Abbreviation: PLoS ONE Publication Date: 2012 |
Date Detail:
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Created Date: 2012-05-15 Completed Date: 2012-09-26 Revised Date: 2013-03-04 |
Medline Journal Info:
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Nlm Unique ID: 101285081 Medline TA: PLoS One Country: United States |
Other Details:
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Languages: eng Pagination: e36010 Citation Subset: IM |
Affiliation:
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Centre for Complexity Science, University of Warwick, Coventry, West Midlands, United Kingdom. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Cell Differentiation
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genetics Computer Simulation Gene Expression* Gene Regulatory Networks* Models, Theoretical* Mutation Stem Cells |
| Comments/Corrections | |
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