title: A framework for modeling the relationship between cellular steady-state and stimulus-responsiveness.
abstract: In cell signaling systems, the abundances of signaling molecules are generally thought to determine the response to stimulation. However, the kinetics of molecular processes, for example receptor trafficking and protein turnover, may also play an important role. Few studies have systematically examined this relationship between the resting state and stimulus-responsiveness. Fewer still have investigated the relative contribution of steady-state concentrations and reaction kinetics. Here we describe a mathematical framework for modeling the resting state of signaling systems. Among other things, this framework allows steady-state concentration measurements to be used in parameterizing kinetic models, and enables comprehensive characterization of the relationship between the resting state and the cellular response to stimulation.
authors.affiliation: Signaling Systems Laboratory, San Diego Center for Systems Biology of Cellular Stress Responses, Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, California, USA.
authors.forename: Paul M
authors.initials: PM
authors.lastname: Loriaux
authors.forename: Alexander
authors.initials: A
authors.lastname: Hoffmann
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D025461:Feedback, Physiological; D005786:Gene Expression Regulation; D006801:Humans; D007700:Kinetics; D008432:Mathematical Computing; D008954:Models, Biological; D051736:Proto-Oncogene Proteins c-mdm2 / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction; D016159:Tumor Suppressor Protein p53 / Q000235:genetics / Q000378:metabolism
chemical_list: D016159:Tumor Suppressor Protein p53; C497206:MDM2 protein, human; D051736:Proto-Oncogene Proteins c-mdm2