2004
DOI: 10.4161/cc.3.5.854
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Model Predictions of MDM2 Mediated Cell Regulation

Abstract: In this work we present a mathematical approach to elucidate possible mechanisms involving mdm2 in the regulation of the cell cycle. It has been experimentally shown that the over-expression of MDM2 leads to uncoupling of DNA synthesis with mitosis resulting in polyploidy cells with multiple copies of their genomes. The function of MDM2 that uncouples the DNA synthesis phase (S) and the Mitosis phase (M) is unclear. To answer this question, we first formulate a mathematical model of the dynamics of the cell cy… Show more

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Cited by 6 publications
(3 citation statements)
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“…This led to the prediction that Mdm2 could cause polyploidy by interfering with Cdc25C activity. 80 Consistent with this, megakaryocytes downregulate Cdc25C expression as they become polyploid. 81 …”
Section: Discussionmentioning
confidence: 63%
“…This led to the prediction that Mdm2 could cause polyploidy by interfering with Cdc25C activity. 80 Consistent with this, megakaryocytes downregulate Cdc25C expression as they become polyploid. 81 …”
Section: Discussionmentioning
confidence: 63%
“…Eventually the model, with correct equations and rate constants, should give accurate simulations of known experimental results and should be pressed to make verifiable predictions. This method has been used for many years to create mathematical models of eukaryotic cell cycle regulation (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29). The greatest drawback to DE-based modeling is that the modeler must estimate all the rate constants from the available data and still have some observations ''left over'' to test the model.…”
Section: Mathematical Modeling Of the Cell Cyclementioning
confidence: 99%
“…Qualitative and quantitative characterizations for cell cycle via mathematical models facilitate the comprehension of intrinsic regulatory or control mechanisms within gene-protein networks [5,6,7]. This paper proposed novel techniques in analyzing such pivotal network motifs in virtue of physics and systematic control theories.…”
mentioning
confidence: 99%