1999
DOI: 10.1074/jbc.274.42.30169
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Quantification of Short Term Signaling by the Epidermal Growth Factor Receptor

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 (EGF… Show more

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Cited by 537 publications
(629 citation statements)
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“…A basic model of the Shc -Grb2 -Sos-Ras pathway activated by EGF was described by Kholodenko et al [16]. A more comprehensive model of ERK activation in response to EGF stimulation has also been examined [17].…”
Section: Introductionmentioning
confidence: 99%
“…A basic model of the Shc -Grb2 -Sos-Ras pathway activated by EGF was described by Kholodenko et al [16]. A more comprehensive model of ERK activation in response to EGF stimulation has also been examined [17].…”
Section: Introductionmentioning
confidence: 99%
“…S1 and S2). Phosphorylation and docking reactions are modeled according to Kholodenko et al;37 the MAP kinase pathway reactions are modeled after Schoeberl et al; 57 Akt and PI3K activation are incorporated into the model as described in Brown et al 7 The similar parameterization and topology in these models allowed us to construct a consistent, stable, and comprehensive system with results in good agreement with published experimental data. 52 Seventeen of these reactions are novel to this work and represent enhanced molecular resolution and detail in EGFR activation, phosphorylation, and docking reactions ( Fig.…”
Section: Overall Summary Of Methodsmentioning
confidence: 93%
“…Modeling regulatory circuits [29][30][31] and larger scale networks [32,33], reconstructing metabolic networks [34], investigating network robustness [35,36] and stochastic gene expression in biological systems [37], were among the necessary conditions for a full reemergence of systems biology.…”
Section: Twenty First Century Systems Biologymentioning
confidence: 99%