0000000000064625

AUTHOR

Andreas Raue

showing 2 related works from this author

Model Based Targeting of IL-6-Induced Inflammatory Responses in Cultured Primary Hepatocytes to Improve Application of the JAK Inhibitor Ruxolitinib

2017

IL-6 is a central mediator of the immediate induction of hepatic acute phase proteins (APP) in the liver during infection and after injury, but increased IL-6 activity has been associated with multiple pathological conditions. In hepatocytes, IL-6 activates JAK1-STAT3 signaling that induces the negative feedback regulator SOCS3 and expression of APPs. While different inhibitors of IL-6-induced JAK1-STAT3-signaling have been developed, understanding their precise impact on signaling dynamics requires a systems biology approach. Here we present a mathematical model of IL-6-induced JAK1-STAT3 signaling that quantitatively links physiological IL-6 concentrations to the dynamics of IL-6-induced …

0301 basic medicineRuxolitinibruxolitinibPhysiologySystems biologyRegulatorBiologyPharmacology: Biochemistry biophysics & molecular biology [F05] [Life sciences]lcsh:Physiology03 medical and health sciencesMediatoracute phase responsePhysiology (medical)medicineSOCS3primary hepatocytes: Biochimie biophysique & biologie moléculaire [F05] [Sciences du vivant]Original ResearchIL-6lcsh:QP1-981Acute-phase proteinmathematical modelingJAK-STAT signaling pathwayCell biology030104 developmental biologySignal transductionmedicine.drugFrontiers in Physiology
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Comprehensive estimation of input signals and dynamics in biochemical reaction networks

2012

Abstract Motivation: Cellular information processing can be described mathematically using differential equations. Often, external stimulation of cells by compounds such as drugs or hormones leading to activation has to be considered. Mathematically, the stimulus is represented by a time-dependent input function. Parameters such as rate constants of the molecular interactions are often unknown and need to be estimated from experimental data, e.g. by maximum likelihood estimation. For this purpose, the input function has to be defined for all times of the integration interval. This is usually achieved by approximating the input by interpolation or smoothing of the measured data. This procedu…

Statistics and ProbabilityMedicin och hälsovetenskapComputer scienceDifferential equationMaximum likelihoodcomputer.software_genreBiochemistryModels BiologicalMedical and Health SciencesIntegration intervalMolecular BiologyJanus KinasesLikelihood FunctionsRegulation Pathways and Systems BiologyExperimental dataOriginal PapersConfidence intervalComputer Science ApplicationsComputational MathematicsSTAT Transcription FactorsComputational Theory and MathematicsData miningAlgorithmcomputerSmoothingAlgorithmsSignal Transduction
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