0000000000064633

AUTHOR

Nikola S. Mueller

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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DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

2020

Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases. GWAS never directly link variants to regulatory mechanisms. Instead, the functional annotation of variants is typically inferred by post hoc analyses. A specific class of deep learning-based methods allows for the prediction of regulatory effects per variant on several cell type-specific chromatin features. We here describe “DeepWAS”, a new approach that integrates these regulatory effect predictions of single variants into a multivariate GWAS setting. Thereby, single variants associated with a trait or disease are directly coupled to their impact on a chromatin feature in a cell type. Up to…

0301 basic medicineMultivariate analysisGene ExpressionGenome-wide association studyBiochemistry0302 clinical medicineGenotypeMedicine and Health SciencesBiology (General)0303 health sciencesDNA methylationEcologyChromosome BiologyNeurodegenerative DiseasesGenomicsChromatinChromatinNucleic acidsNeurologyComputational Theory and MathematicsModeling and SimulationDNA methylationTraitEpigeneticsDNA modificationFunction and Dysfunction of the Nervous SystemChromatin modificationResearch ArticleMultiple SclerosisQH301-705.5Quantitative Trait LociImmunologySingle-nucleotide polymorphismComputational biologyBiologyQuantitative trait locusPolymorphism Single NucleotideAutoimmune DiseasesMolecular Genetics03 medical and health sciencesCellular and Molecular NeuroscienceDeep LearningGenome-Wide Association StudiesGeneticsHumansGeneMolecular BiologyGenetic Association StudiesEcology Evolution Behavior and Systematics030304 developmental biologyGenetic associationBiology and Life SciencesComputational BiologyHuman GeneticsCell BiologyDNAGenome AnalysisDemyelinating Disorders030104 developmental biologyGenetic LociMultivariate AnalysisClinical ImmunologyClinical Medicine030217 neurology & neurosurgeryGenome-Wide Association StudyPLOS Computational Biology
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