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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...

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Autores principales: Cappuccio, Antonio, Zollinger, Raphaël, Schenk, Mirjam, Walczak, Aleksandra, Servant, Nicolas, Barillot, Emmanuel, Hupé, Philippe, Modlin, Robert L., Soumelis, Vassili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Pub. Group 2015
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.
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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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