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Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions
How do cells interpret information from their environment and translate it into specific cell fate decisions? We propose that cell fate is already encoded in early signaling events and thus can be predicted from defined signal properties. Specifically, we hypothesize that the time integral of activa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
WILEY-VCH Verlag
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440590/ https://www.ncbi.nlm.nih.gov/pubmed/22528856 http://dx.doi.org/10.1002/bies.201100172 |
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author | Schneider, Annette Klingmüller, Ursula Schilling, Marcel |
author_facet | Schneider, Annette Klingmüller, Ursula Schilling, Marcel |
author_sort | Schneider, Annette |
collection | PubMed |
description | How do cells interpret information from their environment and translate it into specific cell fate decisions? We propose that cell fate is already encoded in early signaling events and thus can be predicted from defined signal properties. Specifically, we hypothesize that the time integral of activated key signaling molecules can be correlated to cellular behavior such as proliferation or differentiation. The identification of these decisive key signal mediators and their connection to cell fate is facilitated by mathematical modeling. A possible mechanistic linkage between signaling dynamics and cellular function is the directed control of gene regulatory networks by defined signals. Targeted experiments in combination with mathematical modeling can increase our understanding of how cells process information and realize distinct cell fates. |
format | Online Article Text |
id | pubmed-3440590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | WILEY-VCH Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-34405902012-09-13 Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions Schneider, Annette Klingmüller, Ursula Schilling, Marcel Bioessays Insights & Perspectives How do cells interpret information from their environment and translate it into specific cell fate decisions? We propose that cell fate is already encoded in early signaling events and thus can be predicted from defined signal properties. Specifically, we hypothesize that the time integral of activated key signaling molecules can be correlated to cellular behavior such as proliferation or differentiation. The identification of these decisive key signal mediators and their connection to cell fate is facilitated by mathematical modeling. A possible mechanistic linkage between signaling dynamics and cellular function is the directed control of gene regulatory networks by defined signals. Targeted experiments in combination with mathematical modeling can increase our understanding of how cells process information and realize distinct cell fates. WILEY-VCH Verlag 2012-07 2012-04-23 /pmc/articles/PMC3440590/ /pubmed/22528856 http://dx.doi.org/10.1002/bies.201100172 Text en Copyright © 2012 WILEY Periodicals, Inc. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Insights & Perspectives Schneider, Annette Klingmüller, Ursula Schilling, Marcel Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
title | Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
title_full | Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
title_fullStr | Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
title_full_unstemmed | Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
title_short | Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction: Early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
title_sort | short-term information processing, long-term responses: insights by mathematical modeling of signal transduction: early activation dynamics of key signaling mediators can be predictive for cell fate decisions |
topic | Insights & Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440590/ https://www.ncbi.nlm.nih.gov/pubmed/22528856 http://dx.doi.org/10.1002/bies.201100172 |
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