Csikasz-Nagy2006 - Mammalian Cell Cycle model

  public model
Model Identifier
BIOMD0000001044
Short description

This model originates from the Cell Cycle Database . It is described in:
Analysis of a generic model of eukaryotic cell-cycle regulation. Csikász-Nagy A , Battogtokh D , Chen KC , Novák B , Tyson JJ Biophys. J. [2006 Jun],90(12 ):4361-79
PMID: 16581849
Abstract:
We propose a protein interaction network for the regulation of DNA synthesis and mitosis that emphasizes the universality of the regulatory system among eukaryotic cells. The idiosyncrasies of cell cycle regulation in particular organisms can be attributed, we claim, to specific settings of rate constants in the dynamic network of chemical reactions. The values of these rate constants are determined ultimately by the genetic makeup of an organism. To support these claims, we convert the reaction mechanism into a set of governing kinetic equations and provide parameter values (specific to budding yeast, fission yeast, frog eggs, and mammalian cells) that account for many curious features of cell cycle regulation in these organisms. Using one-parameter bifurcation diagrams, we show how overall cell growth drives progression through the cell cycle, how cell-size homeostasis can be achieved by two different strategies, and how mutations remodel bifurcation diagrams and create unusual cell-division phenotypes. The relation between gene dosage and phenotype can be summarized compactly in two-parameter bifurcation diagrams. Our approach provides a theoretical framework in which to understand both the universality and particularity of cell cycle regulation, and to construct, in modular fashion, increasingly complex models of the networks controlling cell growth and division.


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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Format
SBML (L2V4)
Related Publication
  • Analysis of a generic model of eukaryotic cell-cycle regulation.
  • Csikasz-Nagy A, Battogtokh D, Chen KC, Novák B, Tyson JJ
  • Biophysical Journal , 6/ 2006 , Volume 90 , pages: 4361-4379 , PubMed ID: 16581849
  • Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0406, USA.
  • We propose a protein interaction network for the regulation of DNA synthesis and mitosis that emphasizes the universality of the regulatory system among eukaryotic cells. The idiosyncrasies of cell cycle regulation in particular organisms can be attributed, we claim, to specific settings of rate constants in the dynamic network of chemical reactions. The values of these rate constants are determined ultimately by the genetic makeup of an organism. To support these claims, we convert the reaction mechanism into a set of governing kinetic equations and provide parameter values (specific to budding yeast, fission yeast, frog eggs, and mammalian cells) that account for many curious features of cell cycle regulation in these organisms. Using one-parameter bifurcation diagrams, we show how overall cell growth drives progression through the cell cycle, how cell-size homeostasis can be achieved by two different strategies, and how mutations remodel bifurcation diagrams and create unusual cell-division phenotypes. The relation between gene dosage and phenotype can be summarized compactly in two-parameter bifurcation diagrams. Our approach provides a theoretical framework in which to understand both the universality and particularity of cell cycle regulation, and to construct, in modular fashion, increasingly complex models of the networks controlling cell growth and division.
Contributors
Submitter of the first revision: Nicolas Le Novère
Submitter of this revision: Krishna Kumar Tiwari
Modellers: Nicolas Le Novère, Krishna Kumar Tiwari

Metadata information

is (2 statements)
BioModels Database MODEL3897771820
BioModels Database BIOMD0000001044

isDescribedBy (1 statement)
PubMed 16581849

hasTaxon (1 statement)
Taxonomy Mammalia

hasProperty (2 statements)
Mathematical Modelling Ontology Ordinary differential equation model
Gene Ontology cell cycle

unknownQualifier (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model

isVersionOf (1 statement)
Reactome Cell Cycle

occursIn (1 statement)

Curation status
Curated


Tags

Connected external resources

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Model files

Csikasz-Nagy2006.xml SBML L2V4 file of the curated model 377.08 KB Preview | Download

Additional files

Csikasz-Nagy2006.cps COPASI 4.34(build251) file of the curated model 432.26 KB Preview | Download
Csikasz-Nagy2006.sedml SEDML file of the curated model 10.63 KB Preview | Download
MODEL3897771820-biopax2.owl Auto-generated BioPAX (Level 2) 38.66 KB Preview | Download
MODEL3897771820-biopax3.owl Auto-generated BioPAX (Level 3) 722.00 Bytes Preview | Download
MODEL3897771820.m Auto-generated Octave file 22.19 KB Preview | Download
MODEL3897771820.pdf Auto-generated PDF file 341.99 KB Preview | Download
MODEL3897771820.png Auto-generated Reaction graph (PNG) 326.92 KB Preview | Download
MODEL3897771820.sci Auto-generated Scilab file 67.00 Bytes Preview | Download
MODEL3897771820.svg Auto-generated Reaction graph (SVG) 79.97 KB Preview | Download
MODEL3897771820.vcml Auto-generated VCML file 88.31 KB Preview | Download
MODEL3897771820.xpp Auto-generated XPP file 17.67 KB Preview | Download
MODEL3897771820_url.xml SBML L2V1 representation of Csikasz-Nagy2006_Cell_Cycle - author submitted 66.57 KB Preview | Download
MODEL3897771820_urn.xml Auto-generated SBML file with URNs 75.20 KB Preview | Download

  • Model originally submitted by : Nicolas Le Novère
  • Submitted: Nov 28, 2008 3:34:39 PM
  • Last Modified: Nov 22, 2021 4:36:22 PM
Revisions
  • Version: 4 public model Download this version
    • Submitted on: Nov 22, 2021 4:36:22 PM
    • Submitted by: Krishna Kumar Tiwari
    • With comment: Automatically added model identifier BIOMD0000001044
  • Version: 2 public model Download this version
    • Submitted on: Jul 20, 2012 12:39:44 PM
    • Submitted by: Nicolas Le Novère
    • With comment: Current version of Csikasz-Nagy2006_Cell_Cycle
  • Version: 1 public model Download this version
    • Submitted on: Nov 28, 2008 3:34:39 PM
    • Submitted by: Nicolas Le Novère
    • With comment: Original import of New Mechanism

(*) You might be seeing discontinuous revisions as only public revisions are displayed here. Any private revisions unpublished model revision of this model will only be shown to the submitter and their collaborators.

Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
CKIT 0.295407682657242 item
CycBT 0.166841372847557 item
CycAT 0.00994044542312622 item
APC []
Cdc20i 0.018553527072072 item
Cdh1i 0.99923574924469 item
CKI 0.295407682657242 item
preMPF 0.0 item
BCKI 0.0 item
Reactions
Reactions Rate Parameters
CKIT = CKI+BCKI+pBCKI+TriA+TriE [] []
CycBT = CycB+pB+BCKI+pBCKI [] []
CycAT = CycA+TriA [] []
APC => APCP; CycB kaie*APC*CycB/(Jaie+APC) kaie = 0.07; Jaie = 0.01
=> Cdc20i; CycB ks20a+ks20b*CycB^n20/(J20^n20+CycB^n20) ks20a = 0.0; J20 = 1.0; ks20b = 0.15; n20 = 1.0
Cdh1 => Cdh1i 1*Cdh1*Vih1/(Jih1+Cdh1) Jih1 = 0.01; Vih1 = NaN
CycB + CKI => BCKI kassb*CycB*CKI kassb = 0.0
preMPF = pB+pBCKI [] []
TriE => CKI Vde*TriE Vde = NaN
Curator's comment:
(added: 22 Nov 2021, 16:35:58, updated: 22 Nov 2021, 16:35:58)
Figure 8A is reproduced from the literature. Model encoded and simulated using COPASI 4.34(Build251). In the simulated/reproduced figure, x-axis seems to differ from the figure 8a. The authors (Dr.Tyosn) has been contacted for the same and got the explanation. In the manuscript, each time unit is measured and normalized as 0.1h (=6 mins). So the total time tine for 2 cell cyle as literature figure is ~30 hrs which is 30/0.1=300 which matches with the reproduced figure.