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Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity
The ErbB receptor signaling pathway plays an important role in the regulation of cellular proliferation, survival and differentiation, and dysregulation of the pathway is linked to various types of human cancer. Mathematical models have been developed as a practical complementary approach to deciphe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443533/ https://www.ncbi.nlm.nih.gov/pubmed/28542548 http://dx.doi.org/10.1371/journal.pone.0178250 |
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author | Masunaga, Hiroyuki Sugimoto, Yurie Magi, Shigeyuki Itasaki, Ryunosuke Okada-Hatakeyama, Mariko Kurata, Hiroyuki |
author_facet | Masunaga, Hiroyuki Sugimoto, Yurie Magi, Shigeyuki Itasaki, Ryunosuke Okada-Hatakeyama, Mariko Kurata, Hiroyuki |
author_sort | Masunaga, Hiroyuki |
collection | PubMed |
description | The ErbB receptor signaling pathway plays an important role in the regulation of cellular proliferation, survival and differentiation, and dysregulation of the pathway is linked to various types of human cancer. Mathematical models have been developed as a practical complementary approach to deciphering the complexity of ErbB receptor signaling and elucidating how the pathways discriminate between ligands to induce different cell fates. In this study, we developed a simulator to accurately calculate the dynamic sensitivity of extracellular-signal-regulated kinase (ERK) activity (ERK*) and Akt activity (Akt*), downstream of the ErbB receptors stimulated with epidermal growth factor (EGF) and heregulin (HRG). To demonstrate the feasibility of this simulator, we estimated how the reactions critically responsible for ERK* and Akt* change with time and in response to different doses of EGF and HRG, and predicted that only a small number of reactions determine ERK* and Akt*. ERK* increased steeply with increasing HRG dose until saturation, while showing a gently rising response to EGF. Akt* had a gradual wide-range response to HRG and a blunt response to EGF. Akt* was sensitive to perturbations of intracellular kinetics, while ERK* was more robust due to multiple, negative feedback loops. Overall, the simulator predicted reactions that were critically responsible for ERK* and Akt* in response to the dose of EGF and HRG, illustrated the response characteristics of ERK* and Akt*, and estimated mechanisms for generating robustness in the ErbB signaling network. |
format | Online Article Text |
id | pubmed-5443533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54435332017-06-06 Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity Masunaga, Hiroyuki Sugimoto, Yurie Magi, Shigeyuki Itasaki, Ryunosuke Okada-Hatakeyama, Mariko Kurata, Hiroyuki PLoS One Research Article The ErbB receptor signaling pathway plays an important role in the regulation of cellular proliferation, survival and differentiation, and dysregulation of the pathway is linked to various types of human cancer. Mathematical models have been developed as a practical complementary approach to deciphering the complexity of ErbB receptor signaling and elucidating how the pathways discriminate between ligands to induce different cell fates. In this study, we developed a simulator to accurately calculate the dynamic sensitivity of extracellular-signal-regulated kinase (ERK) activity (ERK*) and Akt activity (Akt*), downstream of the ErbB receptors stimulated with epidermal growth factor (EGF) and heregulin (HRG). To demonstrate the feasibility of this simulator, we estimated how the reactions critically responsible for ERK* and Akt* change with time and in response to different doses of EGF and HRG, and predicted that only a small number of reactions determine ERK* and Akt*. ERK* increased steeply with increasing HRG dose until saturation, while showing a gently rising response to EGF. Akt* had a gradual wide-range response to HRG and a blunt response to EGF. Akt* was sensitive to perturbations of intracellular kinetics, while ERK* was more robust due to multiple, negative feedback loops. Overall, the simulator predicted reactions that were critically responsible for ERK* and Akt* in response to the dose of EGF and HRG, illustrated the response characteristics of ERK* and Akt*, and estimated mechanisms for generating robustness in the ErbB signaling network. Public Library of Science 2017-05-24 /pmc/articles/PMC5443533/ /pubmed/28542548 http://dx.doi.org/10.1371/journal.pone.0178250 Text en © 2017 Masunaga et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Masunaga, Hiroyuki Sugimoto, Yurie Magi, Shigeyuki Itasaki, Ryunosuke Okada-Hatakeyama, Mariko Kurata, Hiroyuki Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity |
title | Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity |
title_full | Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity |
title_fullStr | Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity |
title_full_unstemmed | Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity |
title_short | Robustness analysis of the detailed kinetic model of an ErbB signaling network by using dynamic sensitivity |
title_sort | robustness analysis of the detailed kinetic model of an erbb signaling network by using dynamic sensitivity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443533/ https://www.ncbi.nlm.nih.gov/pubmed/28542548 http://dx.doi.org/10.1371/journal.pone.0178250 |
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