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Combinatorial Code Governing Cellular Responses to Complex Stimuli

Overview
Journal Nat Commun
Specialty Biology
Date 2015 Apr 22
PMID 25896517
Citations 17
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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.

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References
1.
Edwards J, Ibarra R, Palsson B . In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data. Nat Biotechnol. 2001; 19(2):125-30. DOI: 10.1038/84379. View

2.
de Baey A, Lanzavecchia A . The role of aquaporins in dendritic cell macropinocytosis. J Exp Med. 2000; 191(4):743-8. PMC: 2195835. DOI: 10.1084/jem.191.4.743. View

3.
Kim J, Ogden R, Kim H . A method to identify differential expression profiles of time-course gene data with Fourier transformation. BMC Bioinformatics. 2013; 14:310. PMC: 4015127. DOI: 10.1186/1471-2105-14-310. View

4.
Urban B, Willcox N, Roberts D . A role for CD36 in the regulation of dendritic cell function. Proc Natl Acad Sci U S A. 2001; 98(15):8750-5. PMC: 37507. DOI: 10.1073/pnas.151028698. View

5.
Janeway Jr C, Medzhitov R . Innate immune recognition. Annu Rev Immunol. 2002; 20:197-216. DOI: 10.1146/annurev.immunol.20.083001.084359. View