Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses

Boolean networks (BNs) have been widely used as a useful model for molecular regulatory networks in systems biology. In the state space of BNs, attractors represent particular cell phenotypes. For targeted therapy of cancer, there is a pressing need to control the heterogeneity of cellular responses...

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Main Authors: Jung-Min Yang, Chun-Kyung Lee, Kwang-Hyun Cho
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.00774/full
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spelling doaj-260b24f89add4ff2924e3690bf6f885e2020-11-24T23:10:18ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-07-01910.3389/fphys.2018.00774358204Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular ResponsesJung-Min Yang0Chun-Kyung Lee1Kwang-Hyun Cho2School of Electronics Engineering, Kyungpook National University, Daegu, South KoreaSchool of Electronics Engineering, Kyungpook National University, Daegu, South KoreaLaboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaBoolean networks (BNs) have been widely used as a useful model for molecular regulatory networks in systems biology. In the state space of BNs, attractors represent particular cell phenotypes. For targeted therapy of cancer, there is a pressing need to control the heterogeneity of cellular responses to the targeted drug by reducing the number of attractors associated with the ill phenotypes of cancer cells. Here, we present a novel control scheme for global stabilization of BNs to a unique fixed point. Using a sufficient condition of global stabilization with respect to the adjacency matrix, we can determine a set of constant controls so that the controlled BN is steered toward an unspecified fixed point which can then be further transformed to a desired attractor by subsequent control. Our method is efficient in that it has polynomial complexity with respect to the number of state variables, while having exponential complexity with respect to in-degree of BNs. To demonstrate the applicability of the proposed control scheme, we conduct simulation studies using a regulation influence network describing the metastatic process of cells and the Mitogen-activated protein kinase (MAPK) signaling network that is crucial in cancer cell fate determination.https://www.frontiersin.org/article/10.3389/fphys.2018.00774/fullBoolean networks (BNs)global stabilizationsequential controlheterogeneitysystems biology
collection DOAJ
language English
format Article
sources DOAJ
author Jung-Min Yang
Chun-Kyung Lee
Kwang-Hyun Cho
spellingShingle Jung-Min Yang
Chun-Kyung Lee
Kwang-Hyun Cho
Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses
Frontiers in Physiology
Boolean networks (BNs)
global stabilization
sequential control
heterogeneity
systems biology
author_facet Jung-Min Yang
Chun-Kyung Lee
Kwang-Hyun Cho
author_sort Jung-Min Yang
title Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses
title_short Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses
title_full Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses
title_fullStr Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses
title_full_unstemmed Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses
title_sort global stabilization of boolean networks to control the heterogeneity of cellular responses
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2018-07-01
description Boolean networks (BNs) have been widely used as a useful model for molecular regulatory networks in systems biology. In the state space of BNs, attractors represent particular cell phenotypes. For targeted therapy of cancer, there is a pressing need to control the heterogeneity of cellular responses to the targeted drug by reducing the number of attractors associated with the ill phenotypes of cancer cells. Here, we present a novel control scheme for global stabilization of BNs to a unique fixed point. Using a sufficient condition of global stabilization with respect to the adjacency matrix, we can determine a set of constant controls so that the controlled BN is steered toward an unspecified fixed point which can then be further transformed to a desired attractor by subsequent control. Our method is efficient in that it has polynomial complexity with respect to the number of state variables, while having exponential complexity with respect to in-degree of BNs. To demonstrate the applicability of the proposed control scheme, we conduct simulation studies using a regulation influence network describing the metastatic process of cells and the Mitogen-activated protein kinase (MAPK) signaling network that is crucial in cancer cell fate determination.
topic Boolean networks (BNs)
global stabilization
sequential control
heterogeneity
systems biology
url https://www.frontiersin.org/article/10.3389/fphys.2018.00774/full
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