Abstract
A global and rigorous understanding of the signaling pathways and cross-regulatory processes involved in mast cell activation requires the integration of published information with novel functional datasets into a comprehensive computational model. Based on an exhaustive curation of the existing literature and using the software CellDesigner, we have built and annotated a comprehensive molecular map for the FcεRI signaling network. This map can be used to visualize and interpret high-throughput expression data. Furthermore, leaning on this map and using the logical modeling software GINsim, we have derived a qualitative dynamical model, which recapitulates the most salient features of mast cell activation. The resulting logical model can be used to explore the dynamical properties of the system and its responses to different stimuli, in normal or mutant conditions.
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Acknowledgements
This project was supported by the ANR through the MI2 project iSa and by the proteomics ProFI infrastructure, as well as by the French excellence initiatives MemoLife LabEx and PSL* IdEx.
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Niarakis, A. et al. (2014). Computational Modeling of the Main Signaling Pathways Involved in Mast Cell Activation. In: Daeron, M., Nimmerjahn, F. (eds) Fc Receptors. Current Topics in Microbiology and Immunology, vol 382. Springer, Cham. https://doi.org/10.1007/978-3-319-07911-0_4
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DOI: https://doi.org/10.1007/978-3-319-07911-0_4
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