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Combinatorial code governing cellular responses to complex stimuli
Cells adapt to their environment through the integration of complex signals. Multiple signals can induce synergistic or antagonistic interactions, currently considered as homogenous behaviours. Here, we use a systematic theoretical approach to enumerate the possible interaction profiles for outputs...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410637/ https://www.ncbi.nlm.nih.gov/pubmed/25896517 http://dx.doi.org/10.1038/ncomms7847 |
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author | Cappuccio, Antonio Zollinger, Raphaël Schenk, Mirjam Walczak, Aleksandra Servant, Nicolas Barillot, Emmanuel Hupé, Philippe Modlin, Robert L. Soumelis, Vassili |
author_facet | Cappuccio, Antonio Zollinger, Raphaël Schenk, Mirjam Walczak, Aleksandra Servant, Nicolas Barillot, Emmanuel Hupé, Philippe Modlin, Robert L. Soumelis, Vassili |
author_sort | Cappuccio, Antonio |
collection | PubMed |
description | Cells adapt to their environment through the integration of complex signals. Multiple signals can induce synergistic or antagonistic interactions, currently considered as homogenous behaviours. Here, we use a systematic theoretical approach to enumerate the possible interaction profiles for outputs measured in the conditions 0 (control), signals X, Y, X+Y. Combinatorial analysis reveals 82 possible interaction profiles, which we biologically and mathematically grouped into five positive and five negative interaction modes. To experimentally validate their use in living cells, we apply an original computational workflow to transcriptomics data of innate immune cells integrating physiopathological signal combinations. Up to 9 of the 10 defined modes coexisted in context-dependent proportions. Each interaction mode was preferentially used in specific biological pathways, suggesting a functional role in the adaptation to multiple signals. Our work defines an exhaustive map of interaction modes for cells integrating pairs of physiopathological and pharmacological stimuli. |
format | Online Article Text |
id | pubmed-4410637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44106372015-05-08 Combinatorial code governing cellular responses to complex stimuli Cappuccio, Antonio Zollinger, Raphaël Schenk, Mirjam Walczak, Aleksandra Servant, Nicolas Barillot, Emmanuel Hupé, Philippe Modlin, Robert L. Soumelis, Vassili Nat Commun Article Cells adapt to their environment through the integration of complex signals. Multiple signals can induce synergistic or antagonistic interactions, currently considered as homogenous behaviours. Here, we use a systematic theoretical approach to enumerate the possible interaction profiles for outputs measured in the conditions 0 (control), signals X, Y, X+Y. Combinatorial analysis reveals 82 possible interaction profiles, which we biologically and mathematically grouped into five positive and five negative interaction modes. To experimentally validate their use in living cells, we apply an original computational workflow to transcriptomics data of innate immune cells integrating physiopathological signal combinations. Up to 9 of the 10 defined modes coexisted in context-dependent proportions. Each interaction mode was preferentially used in specific biological pathways, suggesting a functional role in the adaptation to multiple signals. Our work defines an exhaustive map of interaction modes for cells integrating pairs of physiopathological and pharmacological stimuli. Nature Pub. Group 2015-04-21 /pmc/articles/PMC4410637/ /pubmed/25896517 http://dx.doi.org/10.1038/ncomms7847 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cappuccio, Antonio Zollinger, Raphaël Schenk, Mirjam Walczak, Aleksandra Servant, Nicolas Barillot, Emmanuel Hupé, Philippe Modlin, Robert L. Soumelis, Vassili Combinatorial code governing cellular responses to complex stimuli |
title | Combinatorial code governing cellular responses to complex stimuli |
title_full | Combinatorial code governing cellular responses to complex stimuli |
title_fullStr | Combinatorial code governing cellular responses to complex stimuli |
title_full_unstemmed | Combinatorial code governing cellular responses to complex stimuli |
title_short | Combinatorial code governing cellular responses to complex stimuli |
title_sort | combinatorial code governing cellular responses to complex stimuli |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410637/ https://www.ncbi.nlm.nih.gov/pubmed/25896517 http://dx.doi.org/10.1038/ncomms7847 |
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