BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL1912090002?filename=Kawka2014.xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL1912090002?filename=Kawka2014.cpsprimaryOK200Johannes MeyerNon-curatedordinary differential equation modelL2V4https://www.ebi.ac.uk/biomodels/MODEL191209000224685888falseBioModelsSBMLModelsKawka2014 Revealing the role of SGK1 in the dynamics of medulloblastoma using a mathematical model2014MODEL1912090002Joanna Kawka, Dominik Sturm, Sabrina Pleier, Stefan Pfister, Anna Marciniak-CzochraJoanna Kawka24685888, Deregulation of signaling pathways and subsequent abnormal interactions of downstream genes very often results in carcinogenesis. In this paper, we propose a two-compartment model describing intricate dynamics of the target genes of the Wnt signaling pathway in medulloblastoma. The system of nine nonlinear ordinary differential equations accounts for the formation and dissociation of complexes as well as for the transcription, translation and transport between the cytoplasm and the nucleus. We focus on the interplay between MYC and SGK1 (serum and glucocorticoid-inducible kinase 1), which are the products of Wnt/β-catenin signaling pathway, and GSK3β (glycogen synthase kinase). Numerical simulations of the model solutions yield a better understanding of the process and indicate the importance of the SGK1 gene in the development of medulloblastoma, which has been confirmed in our recent experiments. The model is calibrated based on the gene expression microarray data for two types of medulloblastoma, characterized by monosomy and trisomy of chromosome 6q to highlight the difference between diagnoses.. null, 354. Institute of Applied Mathematics, Interdisciplinary Center for Scientific Computing (IWR) and BIOQUANT, University of Heidelberg, Germany. Electronic address: joanna.kawka@bioquant.uni-hd.de.johannes.p.meyer@gmail.comEMBL-EBIDeregulation of signaling pathways and subsequent abnormal interactions of downstream genes very often results in carcinogenesis. In this paper, we propose a two-compartment model describing intricate dynamics of the target genes of the Wnt signaling pathway in medulloblastoma. The system of nine nonlinear ordinary differential equations accounts for the formation and dissociation of complexes as well as for the transcription, translation and transport between the cytoplasm and the nucleus. We focus on the interplay between MYC and SGK1 (serum and glucocorticoid-inducible kinase 1), which are the products of Wnt/β-catenin signaling pathway, and GSK3β (glycogen synthase kinase). Numerical simulations of the model solutions yield a better understanding of the process and indicate the importance of the SGK1 gene in the development of medulloblastoma, which has been confirmed in our recent experiments. The model is calibrated based on the gene expression microarray data for two types of medulloblastoma, characterized by monosomy and trisomy of chromosome 6q to highlight the difference between diagnoses.Revealing the role of SGK1 in the dynamics of medulloblastoma using a mathematical model.Kawka Joanna J, Sturm Dominik D, Pleier Sabrina S, Pfister Stefan S, Marciniak-Czochra Anna AfalseKawka2014 - Revealing the role of SGK1 in the dynamics of medulloblastoma using a mathematical model This is a mathematical model of the Wnt signaling pathway in medulloblastoma comprised of two compartments. Composed of nine ordinary differential equations accounts for the formation and dissociation of complexes as well as the transcription, translation and transportation between the cytoplasm and the nucleus. 2019-12-092019-12-092019-12-09MODEL191209000224685888GO:0016055