Combinatorial code governing cellular responses to complex stimuli

Antonio Cappuccio, Raphaël Zollinger, Mirjam Schenk, Aleksandra Walczak, Nicolas Servant, Emmanuel Barillot, Philippe Hupé, Robert L. Modlin and Vassili Soumelis ()
Additional contact information
Antonio Cappuccio: Institut Curie
Raphaël Zollinger: Institut Curie
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
Emmanuel Barillot: Institut Curie, Bioinformatique et Biologie des Systèmes
Philippe Hupé: Institut Curie, Bioinformatique et Biologie des Systèmes
Robert L. Modlin: David Geffen School of Medicine at University of California
Vassili Soumelis: Institut Curie

Nature Communications, 2015, vol. 6, issue 1, 1-11

Abstract: 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.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/ncomms7847 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7847

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms7847

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().