Iwamoto2010 - Cell cycle reponse to DNA damage

  public model
Model Identifier
BIOMD0000000939
Short description
After DNA damage, cells activate p53, a tumor suppressor gene, and select a cell fate (e.g., DNA repair, cell cycle arrest, or apoptosis). Recently, a p53 oscillatory behavior was observed following DNA damage. However, the relationship between this p53 oscillation and cell-fate selection is unclear. Here, we present a novel model of the DNA damage signaling pathway that includes p53 and whole cell cycle regulation and explore the relationship between p53 oscillation and cell fate selection. The simulation run without DNA damage qualitatively realized experimentally observed data from several cell cycle regulators, indicating that our model was biologically appropriate. Moreover, the comprehensive sensitivity analysis for the proposed model was implemented by changing the values of all kinetic parameters, which revealed that the cell cycle regulation system based on the proposed model has robustness on a fluctuation of reaction rate in each process. Simulations run with four different intensities of DNA damage, i.e. Low-damage, Medium-damage, High-damage, and Excess-damage, realized cell cycle arrest in all cases. Low-damage, Medium-damage, High-damage, and Excess-damage corresponded to the DNA damage caused by 100, 200, 400, and 800 J/m(2) doses of UV-irradiation, respectively, based on expression of p21, which plays a crucial role in cell cycle arrest. In simulations run with High-damage and Excess-damage, the length of the cell cycle arrest was shortened despite the severe DNA damage, and p53 began to oscillate. Cells initiated apoptosis and were killed at 400 and 800 J/m(2) doses of UV-irradiation, corresponding to High-damage and Excess-damage, respectively. Therefore, our model indicated that the oscillatory mode of p53 profoundly affects cell fate selection.
Format
SBML (L2V4)
Related Publication
  • Mathematical modeling of cell cycle regulation in response to DNA damage: exploring mechanisms of cell-fate determination.
  • Iwamoto K, Hamada H, Eguchi Y, Okamoto M
  • Bio Systems , 3/ 2011 , Volume 103 , Issue 3 , pages: 384-391 , PubMed ID: 21095219
  • Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, Maidashi, Higashi-ku, Fukuoka, Japan.
  • After DNA damage, cells activate p53, a tumor suppressor gene, and select a cell fate (e.g., DNA repair, cell cycle arrest, or apoptosis). Recently, a p53 oscillatory behavior was observed following DNA damage. However, the relationship between this p53 oscillation and cell-fate selection is unclear. Here, we present a novel model of the DNA damage signaling pathway that includes p53 and whole cell cycle regulation and explore the relationship between p53 oscillation and cell fate selection. The simulation run without DNA damage qualitatively realized experimentally observed data from several cell cycle regulators, indicating that our model was biologically appropriate. Moreover, the comprehensive sensitivity analysis for the proposed model was implemented by changing the values of all kinetic parameters, which revealed that the cell cycle regulation system based on the proposed model has robustness on a fluctuation of reaction rate in each process. Simulations run with four different intensities of DNA damage, i.e. Low-damage, Medium-damage, High-damage, and Excess-damage, realized cell cycle arrest in all cases. Low-damage, Medium-damage, High-damage, and Excess-damage corresponded to the DNA damage caused by 100, 200, 400, and 800 J/m(2) doses of UV-irradiation, respectively, based on expression of p21, which plays a crucial role in cell cycle arrest. In simulations run with High-damage and Excess-damage, the length of the cell cycle arrest was shortened despite the severe DNA damage, and p53 began to oscillate. Cells initiated apoptosis and were killed at 400 and 800 J/m(2) doses of UV-irradiation, corresponding to High-damage and Excess-damage, respectively. Therefore, our model indicated that the oscillatory mode of p53 profoundly affects cell fate selection.
Contributors
Submitter of the first revision: Matthieu MAIRE
Submitter of this revision: Ahmad Zyoud
Modellers: Matthieu MAIRE, Ahmad Zyoud

Metadata information

is (2 statements)
BioModels Database MODEL1809060003
BioModels Database BIOMD0000000939

isDescribedBy (2 statements)
hasTaxon (1 statement)
Taxonomy Homo sapiens

hasPart (1 statement)
hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model


Curation status
Curated


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Name Description Size Actions

Model files

Iwamoto2010.xml SBML L2V4 representation of Iwamoto2010 - Cell cycle reponse to DNA damage 472.77 KB Preview | Download

Additional files

Iwamoto2010.cps COPASI version 4.27 (Build 217) Iwamoto2010 - Cell cycle reponse to DNA damage_ for Fig.2,3,4 and 6 in the reference publication. 548.24 KB Preview | Download
iwamoto2010_Fig3.sedml sed-ml L1V2 Iwamoto2010 - Cell cycle reponse to DNA damage_ for Fig.3 in the reference publication. 6.04 KB Preview | Download
iwamoto2010_Fig4.sedml sed-ml L1V2 Iwamoto2010 - Cell cycle reponse to DNA damage_ for Fig.4 in the reference publication. 6.03 KB Preview | Download
iwamoto2010_Fig6.sedml sed-ml L1V2 Iwamoto2010 - Cell cycle reponse to DNA damage_ for Fig.6 in the reference publication. 6.04 KB Preview | Download

  • Model originally submitted by : Matthieu MAIRE
  • Submitted: Sep 6, 2018 1:28:55 PM
  • Last Modified: Apr 27, 2020 5:45:30 PM
Revisions
  • Version: 4 public model Download this version
    • Submitted on: Apr 27, 2020 5:45:30 PM
    • Submitted by: Ahmad Zyoud
    • With comment: Automatically added model identifier BIOMD0000000939
  • Version: 2 public model Download this version
    • Submitted on: Sep 6, 2018 1:28:55 PM
    • Submitted by: Matthieu MAIRE
    • With comment: Edited model metadata online.

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Legends
: Variable used inside SBML models


Species
Reactions
Reactions Rate Parameters
Cyclin_D_Cdk4 => Cdk4 nuclear*k13*Cyclin_D_Cdk4 k13 = 5.0E-4
Cyclin_A => nuclear*k10*Cyclin_A k10 = 5.0E-4
Cyclin_A + Cdk2 => Cyclin_A_Cdk2_inactive nuclear*k11*Cyclin_A*Cdk2 k11 = 5.0E-4
Cyclin_A => ; APC_Ccdh1_active nuclear*k127*Cyclin_A*APC_Ccdh1_active k127 = 0.005
Cyclin_A_Cdk2_inactive => Cyclin_A_Cdk2_active; Cdc25A_active nuclear*k28*Cdc25A_active*Cyclin_A_Cdk2_inactive k28 = 9.0E-4
Cyclin_A_Cdk2_active => Cyclin_A_Cdk2_inactive nuclear*k29*Cyclin_A_Cdk2_active k29 = 5.0E-5
Cyclin_A_Cdk2_active + p21 => p21_CyclinA_Cdk2 nuclear*k32*Cyclin_A_Cdk2_active*p21 k32 = 0.0025
APC_Ccdh1_inactive => APC_Ccdh1_active nuclear*k125*APC_Ccdh1_inactive k125 = 0.005
p21_CyclinD_Cdk4 => p21 + Cyclin_D_Cdk4 nuclear*k19*p21_CyclinD_Cdk4 k19 = 0.005
Rb_PPP => Rb nuclear*k55*Rb_PPP k55 = 5.0E-8
Curator's comment:
(added: 06 Sep 2018, 13:30:37, updated: 27 Apr 2020, 17:45:16)
Figure 2,3,4 and 6 of the reference publication has been reproduced using Copasi 4.27 (Build 217). Use attached SEDML file to reproduce the Figures 2,3,4 and 6.