title: Computational modeling of the main signaling pathways involved in mast cell activation.
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.
authors.affiliation: Institut de Biologie de l'ENS (IBENS), Ecole Normale Supérieure, Paris, France.
authors.forename: Anna
authors.initials: A
authors.lastname: Niarakis
authors.forename: Yacine
authors.initials: Y
authors.lastname: Bounab
authors.forename: Luca
authors.initials: L
authors.lastname: Grieco
authors.forename: Romain
authors.initials: R
authors.lastname: Roncagalli
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Hesse
authors.forename: Jérôme
authors.initials: J
authors.lastname: Garin
authors.forename: Bernard
authors.initials: B
authors.lastname: Malissen
authors.forename: Marc
authors.initials: M
authors.lastname: Daëron
authors.forename: Denis
authors.initials: D
authors.lastname: Thieffry
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008407:Mast Cells / Q000502:physiology*; D011961:Receptors, Fc / Q000502:physiology; D015398:Signal Transduction / Q000502:physiology*; D012984:Software
chemical_list: D011961:Receptors, Fc