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ON/OFF and Beyond - A Boolean Model of Apoptosis
Apoptosis is regulated by several signaling pathways which are extensively linked by crosstalks. Boolean or logical modeling has become a promising approach to capture the qualitative behavior of such complex networks. Here we built a large-scale literature-based Boolean model of the central intrins...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781112/ https://www.ncbi.nlm.nih.gov/pubmed/20011108 http://dx.doi.org/10.1371/journal.pcbi.1000595 |
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author | Schlatter, Rebekka Schmich, Kathrin Avalos Vizcarra, Ima Scheurich, Peter Sauter, Thomas Borner, Christoph Ederer, Michael Merfort, Irmgard Sawodny, Oliver |
author_facet | Schlatter, Rebekka Schmich, Kathrin Avalos Vizcarra, Ima Scheurich, Peter Sauter, Thomas Borner, Christoph Ederer, Michael Merfort, Irmgard Sawodny, Oliver |
author_sort | Schlatter, Rebekka |
collection | PubMed |
description | Apoptosis is regulated by several signaling pathways which are extensively linked by crosstalks. Boolean or logical modeling has become a promising approach to capture the qualitative behavior of such complex networks. Here we built a large-scale literature-based Boolean model of the central intrinsic and extrinsic apoptosis pathways as well as pathways connected with them. The model responds to several external stimuli such as Fas ligand, TNF-α, UV-B irradiation, interleukin-1β and insulin. Timescales and multi-value node logic were used and turned out to be indispensable to reproduce the behavior of the apoptotic network. The coherence of the model was experimentally validated. Thereby an UV-B dose-effect is shown for the first time in mouse hepatocytes. Analysis of the model revealed a tight regulation emerging from high connectivity and spanning crosstalks and a particular importance of feedback loops. An unexpected feedback from Smac release to RIP could further increase complex II formation. The introduced Boolean model provides a comprehensive and coherent description of the apoptosis network behavior. It gives new insights into the complex interplay of pro- and antiapoptotic factors and can be easily expanded to other signaling pathways. |
format | Text |
id | pubmed-2781112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27811122009-12-15 ON/OFF and Beyond - A Boolean Model of Apoptosis Schlatter, Rebekka Schmich, Kathrin Avalos Vizcarra, Ima Scheurich, Peter Sauter, Thomas Borner, Christoph Ederer, Michael Merfort, Irmgard Sawodny, Oliver PLoS Comput Biol Research Article Apoptosis is regulated by several signaling pathways which are extensively linked by crosstalks. Boolean or logical modeling has become a promising approach to capture the qualitative behavior of such complex networks. Here we built a large-scale literature-based Boolean model of the central intrinsic and extrinsic apoptosis pathways as well as pathways connected with them. The model responds to several external stimuli such as Fas ligand, TNF-α, UV-B irradiation, interleukin-1β and insulin. Timescales and multi-value node logic were used and turned out to be indispensable to reproduce the behavior of the apoptotic network. The coherence of the model was experimentally validated. Thereby an UV-B dose-effect is shown for the first time in mouse hepatocytes. Analysis of the model revealed a tight regulation emerging from high connectivity and spanning crosstalks and a particular importance of feedback loops. An unexpected feedback from Smac release to RIP could further increase complex II formation. The introduced Boolean model provides a comprehensive and coherent description of the apoptosis network behavior. It gives new insights into the complex interplay of pro- and antiapoptotic factors and can be easily expanded to other signaling pathways. Public Library of Science 2009-12-11 /pmc/articles/PMC2781112/ /pubmed/20011108 http://dx.doi.org/10.1371/journal.pcbi.1000595 Text en Schlatter 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Schlatter, Rebekka Schmich, Kathrin Avalos Vizcarra, Ima Scheurich, Peter Sauter, Thomas Borner, Christoph Ederer, Michael Merfort, Irmgard Sawodny, Oliver ON/OFF and Beyond - A Boolean Model of Apoptosis |
title | ON/OFF and Beyond - A Boolean Model of Apoptosis |
title_full | ON/OFF and Beyond - A Boolean Model of Apoptosis |
title_fullStr | ON/OFF and Beyond - A Boolean Model of Apoptosis |
title_full_unstemmed | ON/OFF and Beyond - A Boolean Model of Apoptosis |
title_short | ON/OFF and Beyond - A Boolean Model of Apoptosis |
title_sort | on/off and beyond - a boolean model of apoptosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781112/ https://www.ncbi.nlm.nih.gov/pubmed/20011108 http://dx.doi.org/10.1371/journal.pcbi.1000595 |
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