Literature DB >> 10514507

Quantification of short term signaling by the epidermal growth factor receptor.

B N Kholodenko1, O V Demin, G Moehren, J B Hoek.   

Abstract

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.

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Year:  1999        PMID: 10514507     DOI: 10.1074/jbc.274.42.30169

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  210 in total

1.  Control analysis for autonomously oscillating biochemical networks.

Authors:  Karin A Reijenga; Hans V Westerhoff; Boris N Kholodenko; Jacky L Snoep
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

2.  Diffusion control of protein phosphorylation in signal transduction pathways.

Authors:  B N Kholodenko; G C Brown; J B Hoek
Journal:  Biochem J       Date:  2000-09-15       Impact factor: 3.857

Review 3.  Mathematical simulation of membrane protein clustering for efficient signal transduction.

Authors:  Krishnan Radhakrishnan; Ádám Halász; Meghan M McCabe; Jeremy S Edwards; Bridget S Wilson
Journal:  Ann Biomed Eng       Date:  2012-06-06       Impact factor: 3.934

4.  Leveraging modeling approaches: reaction networks and rules.

Authors:  Michael L Blinov; Ion I Moraru
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

5.  Long-range signal transmission in autocrine relays.

Authors:  Michal Pribyl; Cyrill B Muratov; Stanislav Y Shvartsman
Journal:  Biophys J       Date:  2003-02       Impact factor: 4.033

6.  Importance of input perturbations and stochastic gene expression in the reverse engineering of genetic regulatory networks: insights from an identifiability analysis of an in silico network.

Authors:  Daniel E Zak; Gregory E Gonye; James S Schwaber; Francis J Doyle
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

7.  A computational model on the modulation of mitogen-activated protein kinase (MAPK) and Akt pathways in heregulin-induced ErbB signalling.

Authors:  Mariko Hatakeyama; Shuhei Kimura; Takashi Naka; Takuji Kawasaki; Noriko Yumoto; Mio Ichikawa; Jae-Hoon Kim; Kazuki Saito; Mihoro Saeki; Mikako Shirouzu; Shigeyuki Yokoyama; Akihiko Konagaya
Journal:  Biochem J       Date:  2003-07-15       Impact factor: 3.857

8.  Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis.

Authors:  M Bentele; I Lavrik; M Ulrich; S Stösser; D W Heermann; H Kalthoff; P H Krammer; R Eils
Journal:  J Cell Biol       Date:  2004-09-13       Impact factor: 10.539

9.  Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations.

Authors:  Michael Dworkin; Sayak Mukherjee; Ciriyam Jayaprakash; Jayajit Das
Journal:  J R Soc Interface       Date:  2012-02-29       Impact factor: 4.118

10.  Revealing Dynamic Protein Acetylation across Subcellular Compartments.

Authors:  Josue Baeza; Alexis J Lawton; Jing Fan; Michael J Smallegan; Ian Lienert; Tejas Gandhi; Oliver M Bernhardt; Lukas Reiter; John M Denu
Journal:  J Proteome Res       Date:  2020-04-27       Impact factor: 4.466

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