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Large-scale simulations of Eukaryotic cell signaling processes

Authors: J.H. Miller; null Fang Zheng;

Large-scale simulations of Eukaryotic cell signaling processes

Abstract

Summary form only given. A database of rate constants and related quantities has been assembled by Schoeberl et al. for intracellular signaling downstream of the epidermal growth factor receptor (EGFR). This information was combined with data on metalloprotease activation to build a model of autocrine signal transduction by cancer cells exposed to ionizing radiation. The model predicts prompt activation of mitogen-activated-protein-kinase (MAPK) pathways in response to a radiation-induced shift in the RasGDP /spl harr/ RasGTP equilibrium toward more RasGTP. A secondary MAPK activation is predicted due to metalloprotease activity that releases transforming growth factor alpha (TGF/spl alpha/), an autocrine ligand of EGFR. Model predictions were compared to data by Dent et al. on extracellular regulated kinase (ERK) activation following a 2 Gy exposure of carcinoma cells in vitro. Good agreement was obtained with the magnitude of prompt and secondary ERK activation; however, the experimental secondary response was delayed relative the prompt peak more than predicted by our model. A mechanistic understanding of radiation-induced growth factors is needed to improve treatment of cancer by radiation therapy. Inhibitors of the signaling pathways modeled in this study may reduce a potentially self-limiting aspect of radiation therapy whereby induced growth factors accelerate repopulation of treated tumor volumes.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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