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Universal attenuators and their interactions with feedback loops in gene regulatory networks

Using a combination of mathematical modelling, statistical simulation and large-scale data analysis we study the properties of linear regulatory chains (LRCs) within gene regulatory networks (GRNs). Our modelling indicates that downstream genes embedded within LRCs are highly insulated from the vari...

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Detalles Bibliográficos
Autores principales: Liu, Dianbo, Albergante, Luca, Newman, Timothy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499555/
https://www.ncbi.nlm.nih.gov/pubmed/28575450
http://dx.doi.org/10.1093/nar/gkx485
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author Liu, Dianbo
Albergante, Luca
Newman, Timothy J.
author_facet Liu, Dianbo
Albergante, Luca
Newman, Timothy J.
author_sort Liu, Dianbo
collection PubMed
description Using a combination of mathematical modelling, statistical simulation and large-scale data analysis we study the properties of linear regulatory chains (LRCs) within gene regulatory networks (GRNs). Our modelling indicates that downstream genes embedded within LRCs are highly insulated from the variation in expression of upstream genes, and thus LRCs act as attenuators. This observation implies a progressively weaker functionality of LRCs as their length increases. When analyzing the preponderance of LRCs in the GRNs of Escherichia coli K12 and several other organisms, we find that very long LRCs are essentially absent. In both E. coli and M. tuberculosis we find that four-gene LRCs are intimately linked to identical feedback loops that are involved in potentially chaotic stress response, indicating that the dynamics of these potentially destabilising motifs are strongly restrained under homeostatic conditions. The same relationship is observed in a human cancer cell line (K562), and we postulate that four-gene LRCs act as ‘universal attenuators’. These findings suggest a role for long LRCs in dampening variation in gene expression, thereby protecting cell identity, and in controlling dramatic shifts in cell-wide gene expression through inhibiting chaos-generating motifs.
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spelling pubmed-54995552017-07-10 Universal attenuators and their interactions with feedback loops in gene regulatory networks Liu, Dianbo Albergante, Luca Newman, Timothy J. Nucleic Acids Res Computational Biology Using a combination of mathematical modelling, statistical simulation and large-scale data analysis we study the properties of linear regulatory chains (LRCs) within gene regulatory networks (GRNs). Our modelling indicates that downstream genes embedded within LRCs are highly insulated from the variation in expression of upstream genes, and thus LRCs act as attenuators. This observation implies a progressively weaker functionality of LRCs as their length increases. When analyzing the preponderance of LRCs in the GRNs of Escherichia coli K12 and several other organisms, we find that very long LRCs are essentially absent. In both E. coli and M. tuberculosis we find that four-gene LRCs are intimately linked to identical feedback loops that are involved in potentially chaotic stress response, indicating that the dynamics of these potentially destabilising motifs are strongly restrained under homeostatic conditions. The same relationship is observed in a human cancer cell line (K562), and we postulate that four-gene LRCs act as ‘universal attenuators’. These findings suggest a role for long LRCs in dampening variation in gene expression, thereby protecting cell identity, and in controlling dramatic shifts in cell-wide gene expression through inhibiting chaos-generating motifs. Oxford University Press 2017-07-07 2017-06-01 /pmc/articles/PMC5499555/ /pubmed/28575450 http://dx.doi.org/10.1093/nar/gkx485 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Liu, Dianbo
Albergante, Luca
Newman, Timothy J.
Universal attenuators and their interactions with feedback loops in gene regulatory networks
title Universal attenuators and their interactions with feedback loops in gene regulatory networks
title_full Universal attenuators and their interactions with feedback loops in gene regulatory networks
title_fullStr Universal attenuators and their interactions with feedback loops in gene regulatory networks
title_full_unstemmed Universal attenuators and their interactions with feedback loops in gene regulatory networks
title_short Universal attenuators and their interactions with feedback loops in gene regulatory networks
title_sort universal attenuators and their interactions with feedback loops in gene regulatory networks
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499555/
https://www.ncbi.nlm.nih.gov/pubmed/28575450
http://dx.doi.org/10.1093/nar/gkx485
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