Kuehn, AxelAxelKuehnKholodenko, Boris N.Boris N.KholodenkoFey, DirkDirkFey2016-07-252016-07-252014-11-05http://hdl.handle.net/10197/7783IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014): Workshop on Empowering Systems Medicine Through Optimal Design of Experimentation and Computational Modeling, Belfast, Northern Ireland, 2-5 November 2014Neuroblastoma is the most common the most common cancer in infancy with an extremely heterogeneous phenotype that is mainly driven by the MYCN oncogene. The MYCN transcription factor and its amplification is commonly associated with poor prognosis in patients, although it has also been shown that elevated MYCN levels correlates with apoptosis sensitization in cells. HMGA1 is one of MYCN target genes and is involved in triggering apoptosis through a DNA Damage Response (DDR) by inducing ataxia-telangiectasia-mutated (ATM) gene expression. But HMGA1 is also involved in preventing apoptosis by directly binding HIPK2 and decreasing its presence in the nucleus, therefore decreasing phosphorylation of p53 at serine 46 which is required for the activation of p53 apoptotic targets. In this article, we propose a model in which MYCN protein regulates the HMGA1-ATM-p53 and HMGA1-HIPK2-p53 subsystems. Because the molecular details concerning the HMGA1-HMGA1 interaction are uncertain several possibilities were explored in simulations. Our model points towards an important role of MYCN-dependent regulation of HMGA1 expression levels and the subsequent HIPK2 nuclear/cytoplasmic re-localization and led to experimentally testable predictions that can discern between alternative model structures.  en© © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.p53Ordinary differential equationsCell signallingConference Publication2016-07-21https://creativecommons.org/licenses/by-nc-nd/3.0/ie/