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Multistable switches and their role in cellular differentiation networks

BACKGROUND: Cellular differentiation during development is controlled by gene regulatory networks (GRNs). This complex process is always subject to gene expression noise. There is evidence suggesting that commonly seen patterns in GRNs, referred to as biological multistable switches, play an importa...

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Autores principales: Ghaffarizadeh, Ahmadreza, Flann, Nicholas S, Podgorski, Gregory J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110729/
https://www.ncbi.nlm.nih.gov/pubmed/25078021
http://dx.doi.org/10.1186/1471-2105-15-S7-S7
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author Ghaffarizadeh, Ahmadreza
Flann, Nicholas S
Podgorski, Gregory J
author_facet Ghaffarizadeh, Ahmadreza
Flann, Nicholas S
Podgorski, Gregory J
author_sort Ghaffarizadeh, Ahmadreza
collection PubMed
description BACKGROUND: Cellular differentiation during development is controlled by gene regulatory networks (GRNs). This complex process is always subject to gene expression noise. There is evidence suggesting that commonly seen patterns in GRNs, referred to as biological multistable switches, play an important role in creating the structure of lineage trees by providing stability to cell types. RESULTS: To explore this question a new methodology is developed and applied to study (a) the multistable switch-containing GRN for hematopoiesis and (b) a large set of random boolean networks (RBNs) in which multistable switches were embedded systematically. In this work, each network attractor is taken to represent a distinct cell type. The GRNs were seeded with one or two identical copies of each multistable switch and the effect of these additions on two key aspects of network dynamics was assessed. These properties are the barrier to movement between pairs of attractors (separation) and the degree to which one direction of movement between attractor pairs is favored over another (directionality). Both of these properties are instrumental in shaping the structure of lineage trees. We found that adding one multistable switch of any type had a modest effect on increasing the proportion of well-separated attractor pairs. Adding two identical switches of any type had a much stronger effect in increasing the proportion of well-separated attractors. Similarly, there was an increase in the frequency of directional transitions between attractor pairs when two identical multistable switches were added to GRNs. This effect on directionality was not observed when only one multistable switch was added. CONCLUSIONS: This work provides evidence that the occurrence of multistable switches in networks that control cellular differentiation contributes to the structure of lineage trees and to the stabilization of cell types.
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spelling pubmed-41107292014-08-05 Multistable switches and their role in cellular differentiation networks Ghaffarizadeh, Ahmadreza Flann, Nicholas S Podgorski, Gregory J BMC Bioinformatics Research BACKGROUND: Cellular differentiation during development is controlled by gene regulatory networks (GRNs). This complex process is always subject to gene expression noise. There is evidence suggesting that commonly seen patterns in GRNs, referred to as biological multistable switches, play an important role in creating the structure of lineage trees by providing stability to cell types. RESULTS: To explore this question a new methodology is developed and applied to study (a) the multistable switch-containing GRN for hematopoiesis and (b) a large set of random boolean networks (RBNs) in which multistable switches were embedded systematically. In this work, each network attractor is taken to represent a distinct cell type. The GRNs were seeded with one or two identical copies of each multistable switch and the effect of these additions on two key aspects of network dynamics was assessed. These properties are the barrier to movement between pairs of attractors (separation) and the degree to which one direction of movement between attractor pairs is favored over another (directionality). Both of these properties are instrumental in shaping the structure of lineage trees. We found that adding one multistable switch of any type had a modest effect on increasing the proportion of well-separated attractor pairs. Adding two identical switches of any type had a much stronger effect in increasing the proportion of well-separated attractors. Similarly, there was an increase in the frequency of directional transitions between attractor pairs when two identical multistable switches were added to GRNs. This effect on directionality was not observed when only one multistable switch was added. CONCLUSIONS: This work provides evidence that the occurrence of multistable switches in networks that control cellular differentiation contributes to the structure of lineage trees and to the stabilization of cell types. BioMed Central 2014-05-28 /pmc/articles/PMC4110729/ /pubmed/25078021 http://dx.doi.org/10.1186/1471-2105-15-S7-S7 Text en Copyright © 2014 Ghaffarizadeh et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Ghaffarizadeh, Ahmadreza
Flann, Nicholas S
Podgorski, Gregory J
Multistable switches and their role in cellular differentiation networks
title Multistable switches and their role in cellular differentiation networks
title_full Multistable switches and their role in cellular differentiation networks
title_fullStr Multistable switches and their role in cellular differentiation networks
title_full_unstemmed Multistable switches and their role in cellular differentiation networks
title_short Multistable switches and their role in cellular differentiation networks
title_sort multistable switches and their role in cellular differentiation networks
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110729/
https://www.ncbi.nlm.nih.gov/pubmed/25078021
http://dx.doi.org/10.1186/1471-2105-15-S7-S7
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