Nakakuki2010_CellFateDecision_Mechanistic

Model Identifier
BIOMD0000000250
Short description

This mechanistic model describes the activation of immediate early genes such as cFos after EGF or heregulin (HRG) stimulation of the MAPK pathway. Phosphorylated cFos is a key transcription factor triggering downstream cascades of cell fate determination. The model can explain how the switch-like response of p-cFos emerges from the spatiotemporal dynamics. This mechanistic model comprises the explicit reaction kinetics of the signal transduction pathway, the transcriptional and the posttranslational feedback and feedforward loops. In the below article, two different mechanistic models have been studied, the first one based on previously known interactions but failing to account for the experimental data and the second one including additional interactions which were discovered and confirmed by new experiments. The mechanistic model encoded here is the second one, the extended and at the time of creation most complete model of cell fate decision making in response to different doses of EGF or HRG stimulation. The encoded parameter set corresponds to 10mM HRG stimulation as shown in Fig.1 of the article. The Supplementary Methods of the article provide further parameter sets that allow simulations for different ligands and different doses. A corresponding core model is available from http://www.ebi.ac.uk/biomodels/ as MODEL1003170000.

Ligand-specific c-Fos expression emerges from the spatiotemporal control of ErbB network dynamics.
Takashi Nakakuki(1), Marc R. Birtwistle(2,3,4), Yuko Saeki(1,5), Noriko Yumoto(1,5), Kaori Ide(1), Takeshi Nagashima(1,5), Lutz Brusch(6), Babatunde A. Ogunnaike(3), Mariko Hatakeyama(1,5), and Boris N. Kholodenko(2,4); Cell In Press, online 20 May 2010 , doi: 10.1016/j.cell.2010.03.054
(1) RIKEN Advanced Science Institute, Computational Systems Biology Research Group, Advanced Computational Sciences Department, 1-7-22 Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
(2) Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland
(3) University of Delaware, Department of Chemical Engineering, 150 Academy St., Newark, DE 19716, USA
(4) Thomas Jefferson University, Department of Pathology, Anatomy, and Cell Biology, 1020 Locust Street, Philadelphia, PA 19107, USA
(5) RIKEN Research Center for Allergy and Immunology, Laboratory for Cellular Systems Modeling, 1-7-22 Tsurumi-ku, Yokohama, 230-0045, Japan
(6) Dresden University of Technology, Center for Information Services and High Performance Computing, 01062 Dresden, Germany

Format
SBML (L2V4)
Related Publication
  • Ligand-specific c-Fos expression emerges from the spatiotemporal control of ErbB network dynamics.
  • Takashi Nakakuki, Marc R Birtwistle, Yuko Saeki, Noriko Yumoto, Kaori Ide, Takeshi Nagashima, Lutz Brusch, Babatunde A Ogunnaike, Mariko Okada-Hatakeyama, Boris N Kholodenko
  • Cell , 5/ 2010 , Volume 141 , Issue 5 , pages: 884-896 , PubMed ID: 20493519
Contributors
Submitter of the first revision: Lutz Brusch
Submitter of this revision: Lucian Smith
Curator: Lucian Smith
Modeller: Lutz Brusch

Metadata information

is (2 statements)
BioModels Database BIOMD0000000250
BioModels Database MODEL1004300000

isDerivedFrom (2 statements)
PubMed 12242336
BioModels Database BIOMD0000000175

isDescribedBy (1 statement)
PubMed 20493519

hasTaxon (1 statement)
Taxonomy Homo sapiens

isVersionOf (3 statements)
isPartOf (1 statement)
hasVersion (1 statement)
Reactome REACT_634

occursIn (1 statement)
Brenda Tissue Ontology MCF-7 cell

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


Curation status
Curated


Connected external resources