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Gene networks and liar paradoxes

Network motifs are small patterns of connections, found over-represented in gene regulatory networks. An example is the negative feedback loop (e.g. factor A represses itself). This opposes its own state so that when ‘on’ it tends towards ‘off’ – and vice versa. Here, we argue that such self-opposit...

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Autor principal: Isalan, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: WILEY-VCH Verlag 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130135/
https://www.ncbi.nlm.nih.gov/pubmed/19722183
http://dx.doi.org/10.1002/bies.200900072
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author Isalan, Mark
author_facet Isalan, Mark
author_sort Isalan, Mark
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description Network motifs are small patterns of connections, found over-represented in gene regulatory networks. An example is the negative feedback loop (e.g. factor A represses itself). This opposes its own state so that when ‘on’ it tends towards ‘off’ – and vice versa. Here, we argue that such self-opposition, if considered dimensionlessly, is analogous to the liar paradox: ‘This statement is false’. When ‘true’ it implies ‘false’ – and vice versa. Such logical constructs have provided philosophical consternation for over 2000 years. Extending the analogy, other network topologies give strikingly varying outputs over different dimensions. For example, the motif ‘A activates B and A. B inhibits A’ can give switches or oscillators with time only, or can lead to Turing-type patterns with both space and time (spots, stripes or waves). It is argued here that the dimensionless form reduces to a variant of ‘The following statement is true. The preceding statement is false’. Thus, merely having a static topological description of a gene network can lead to a liar paradox. Network diagrams are only snapshots of dynamic biological processes and apparent paradoxes can reveal important biological mechanisms that are far from paradoxical when considered explicitly in time and space.
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spelling pubmed-31301352011-07-14 Gene networks and liar paradoxes Isalan, Mark Bioessays Problems and Paradigms Network motifs are small patterns of connections, found over-represented in gene regulatory networks. An example is the negative feedback loop (e.g. factor A represses itself). This opposes its own state so that when ‘on’ it tends towards ‘off’ – and vice versa. Here, we argue that such self-opposition, if considered dimensionlessly, is analogous to the liar paradox: ‘This statement is false’. When ‘true’ it implies ‘false’ – and vice versa. Such logical constructs have provided philosophical consternation for over 2000 years. Extending the analogy, other network topologies give strikingly varying outputs over different dimensions. For example, the motif ‘A activates B and A. B inhibits A’ can give switches or oscillators with time only, or can lead to Turing-type patterns with both space and time (spots, stripes or waves). It is argued here that the dimensionless form reduces to a variant of ‘The following statement is true. The preceding statement is false’. Thus, merely having a static topological description of a gene network can lead to a liar paradox. Network diagrams are only snapshots of dynamic biological processes and apparent paradoxes can reveal important biological mechanisms that are far from paradoxical when considered explicitly in time and space. WILEY-VCH Verlag 2009-10 /pmc/articles/PMC3130135/ /pubmed/19722183 http://dx.doi.org/10.1002/bies.200900072 Text en Copyright © 2009 Wiley Periodicals, Inc. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Problems and Paradigms
Isalan, Mark
Gene networks and liar paradoxes
title Gene networks and liar paradoxes
title_full Gene networks and liar paradoxes
title_fullStr Gene networks and liar paradoxes
title_full_unstemmed Gene networks and liar paradoxes
title_short Gene networks and liar paradoxes
title_sort gene networks and liar paradoxes
topic Problems and Paradigms
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130135/
https://www.ncbi.nlm.nih.gov/pubmed/19722183
http://dx.doi.org/10.1002/bies.200900072
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