Klingmüller, Ursula

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

Raue, A., Kreutz, C., Maiwald, T., Bachmann, J., Schilling, M., Klingmüller, U., & Timmer, J. (2009) · Bioinformatics

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 1,442

Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling

Swameye, I., Müller, T. G., Timmer, J., Sandra, O., & Klingmüller, U. (2003) · Proceedings of the National Academy of Sciences

Cytokine Signaling Pathways and InteractionsGene Regulatory Network Analysis

Cited by 316

Simulation methods for optimal experimental design in systems biology

Faller, D., Klingmüller, U., & Timmer, J. (2003) · SIMULATION

Optimal Experimental Design MethodsGene Regulatory Network Analysis

Cited by 137

Identifiability and observability analysis for experimental design in nonlinear dynamical models

Raue, A., Becker, V., Klingmüller, U., & Timmer, J. (2010) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 137

Theoretical and experimental analysis links isoform-specific ERK signalling to cell fate decisions

Schilling, M., Maiwald, T., Hengl, S., Winter, D., Kreutz, C., Kolch, W., Lehmann, W. D., Timmer, J., & Klingmüller, U. (2009) · Molecular Systems Biology

Gene Regulatory Network AnalysisProtein Kinase Regulation and GTPase Signaling

Cited by 79

Unbiased RNAi screen for hepcidin regulators links hepcidin suppression to proliferative Ras/RAF and nutrient-dependent mTOR signaling

Mleczko-Sanecka, K., Roche, F., Rita da Silva, A., Call, D., D’Alessio, F., Ragab, A., Lapinski, P. E., Ummanni, R., Korf, U., Oakes, C., et al. (2014) · Blood

Iron Metabolism and DisordersFerroptosis and cancer prognosis

Cited by 74

Modeling the nonlinear dynamics of cellular signal transduction

TIMMER, J., MÜLLER, T. G., SWAMEYE, I., SANDRA, O., & KLINGMÜLLER, U. (2004) · International Journal of Bifurcation and Chaos

Gene Regulatory Network AnalysisCytokine Signaling Pathways and Interactions

Cited by 68

Predictive mathematical models of cancer signalling pathways

Bachmann, J., Raue, A., Schilling, M., Becker, V., Timmer, J., & Klingmüller, U. (2012) · Journal of Internal Medicine

Gene Regulatory Network AnalysisMathematical Biology Tumor Growth

Cited by 63

Tests for cycling in a signalling pathway

Müller, T. G., Faller, D., Timmer, J., Swameye, I., Sandra, O., & Klingmüller, U. (2004) · Journal of the Royal Statistical Society Series C: Applied Statistics

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 33

An integrative model links multiple inputs and signaling pathways to the onset of DNA synthesis in hepatocytes

Huard, J., Mueller, S., Gilles, E. D., Klingmüller, U., & Klamt, S. (2012) · The FEBS Journal

Liver physiology and pathologyGene Regulatory Network Analysis

Cited by 29

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

Sobotta, S., Raue, A., Huang, X., Vanlier, J., Jünger, A., Bohl, S., Albrecht, U., Hahnel, M. J., Wolf, S., Mueller, N. S., et al. (2017) · Frontiers in Physiology

Cytokine Signaling Pathways and InteractionsGene Regulatory Network Analysis

Cited by 28

T160-phosphorylated CDK2 defines threshold for HGF-dependent proliferation in primary hepatocytes

Mueller, S., Huard, J., Waldow, K., Huang, X., D'Alessandro, L. A., Bohl, S., Börner, K., Grimm, D., Klamt, S., Klingmüller, U., et al. (2015) · Molecular Systems Biology

Liver physiology and pathologyCancer-related Molecular Pathways

Cited by 23

Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes define survival threshold in erythroid progenitor cells

Adlung, L., Stapor, P., Tönsing, C., Schmiester, L., Schwarzmüller, L. E., Wang, D., Timmer, J., Klingmüller, U., Hasenauer, J., & Schilling, M. (2019) · Cell Reports

Cytokine Signaling Pathways and InteractionsGene Regulatory Network Analysis

Cited by 21

One-source peptide/phosphopeptide standards for accurate phosphorylation degree determination

Hahn, B., Böhm, M., Raia, V., Zinn, N., Möller, P., Klingmüller, U., & Lehmann, W. (2011) · PROTEOMICS

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 16