Author
Listed:
- Antonio Cappuccio
(Institut Curie
INSERM U932)
- Raphaël Zollinger
(Institut Curie
INSERM U932
Centre for Cancer and Inflammation, Barts Cancer Institute, Queen Mary University of London)
- Mirjam Schenk
(David Geffen School of Medicine at University of California)
- Aleksandra Walczak
(Laboratoire de Physique Théorique, CNRS, Université P. et M. Curie, École Normale Supérieure)
- Nicolas Servant
(Institut Curie, Bioinformatique et Biologie des Systèmes
INSERM U900
Mines ParisTech, Fontainebleau)
- Emmanuel Barillot
(Institut Curie, Bioinformatique et Biologie des Systèmes
INSERM U900
Mines ParisTech, Fontainebleau)
- Philippe Hupé
(Institut Curie, Bioinformatique et Biologie des Systèmes
INSERM U900
Mines ParisTech, Fontainebleau
CNRS UMR144)
- Robert L. Modlin
(David Geffen School of Medicine at University of California
Immunology and Molecular Genetics, David Geffen School of Medicine at University of California)
- Vassili Soumelis
(Institut Curie
INSERM U932)
Abstract
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.
Suggested Citation
Antonio Cappuccio & Raphaël Zollinger & Mirjam Schenk & Aleksandra Walczak & Nicolas Servant & Emmanuel Barillot & Philippe Hupé & Robert L. Modlin & Vassili Soumelis, 2015.
"Combinatorial code governing cellular responses to complex stimuli,"
Nature Communications, Nature, vol. 6(1), pages 1-11, November.
Handle:
RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7847
DOI: 10.1038/ncomms7847
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