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Short description

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SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS
Run this model online at http://jjj.biochem.sun.ac.za
To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online, Bioinformatics, 20:2143-2144

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Format
SBML (L2V1)
Related Publication
  • Quantification of short term signaling by the epidermal growth factor receptor.
  • Kholodenko BN, Demin OV, Moehren G, Hoek JB
  • The Journal of biological chemistry , 10/ 1999 , Volume 274 , pages: 30169-30181
  • Department of Pathology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA. Boris.Kholodenko@mail.tju.edu
  • During the past decade, our knowledge of molecular mechanisms involved in growth factor signaling has proliferated almost explosively. However, the kinetics and control of information transfer through signaling networks remain poorly understood. This paper combines experimental kinetic analysis and computational modeling of the short term pattern of cellular responses to epidermal growth factor (EGF) in isolated hepatocytes. The experimental data show transient tyrosine phosphorylation of the EGF receptor (EGFR) and transient or sustained response patterns in multiple signaling proteins targeted by EGFR. Transient responses exhibit pronounced maxima, reached within 15-30 s of EGF stimulation and followed by a decline to relatively low (quasi-steady-state) levels. In contrast to earlier suggestions, we demonstrate that the experimentally observed transients can be accounted for without requiring receptor-mediated activation of specific tyrosine phosphatases, following EGF stimulation. The kinetic model predicts how the cellular response is controlled by the relative levels and activity states of signaling proteins and under what conditions activation patterns are transient or sustained. EGFR signaling patterns appear to be robust with respect to variations in many elemental rate constants within the range of experimentally measured values. On the other hand, we specify which changes in the kinetic scheme, rate constants, and total amounts of molecular factors involved are incompatible with the experimentally observed kinetics of signal transfer. Quantitation of signaling network responses to growth factors allows us to assess how cells process information controlling their growth and differentiation.
Contributors
Lu Li

Metadata information

Curation status
Curated
  • Model originally submitted by : Lu Li
  • Submitted: Dec 5, 2005 3:11:21 PM
  • Last Modified: Feb 14, 2014 1:52:29 PM
Revisions
  • Version: 2 public model Download this version
    • Submitted on: Feb 14, 2014 1:52:29 PM
    • Submitted by: Lu Li
    • With comment: Current version of Kholodenko1999 - EGFR signaling
  • Version: 1 public model Download this version
    • Submitted on: Dec 5, 2005 3:11:21 PM
    • Submitted by: Lu Li
    • With comment: Original import of kholodenko
Curator's comment:
(added: 04 Jan 2007, 14:52:24, updated: 04 Jan 2007, 14:52:24)
Figure 4A reproduced in SBMLodeSolver.