Please use this identifier to cite or link to this item: https://doi.org/bioinformatics/btn635
Title: Simulation of crosstalk between small GTPase RhoA and EGFR-ERK signaling pathway via MEKK1
Authors: Li, H. 
Ung, C.Y. 
Ma, X.H. 
Li, B.W. 
Low, B.C. 
Cao, Z.W.
Chen, Y.Z. 
Issue Date: 2009
Source: Li, H., Ung, C.Y., Ma, X.H., Li, B.W., Low, B.C., Cao, Z.W., Chen, Y.Z. (2009). Simulation of crosstalk between small GTPase RhoA and EGFR-ERK signaling pathway via MEKK1. Bioinformatics 25 (3) : 358-364. ScholarBank@NUS Repository. https://doi.org/bioinformatics/btn635
Abstract: Motivation: Small GTPase RhoA regulates cell-cycle progression via several mechanisms. Apart from its actions via ROCK, RhoA has recently been found to activate a scaffold protein MEKK1 known to promote ERK activation. We examined whether RhoA can substantially affect ERK activity via this MEKK1-mediated crosstalk between RhoA and EGFR-ERK pathway. By extending the published EGFR-ERK simulation models represented by ordinary differential equations, we developed a simulation model that includes this crosstalk, which was validated with a number of experimental findings and published simulation results. Results: Our simulation suggested that, via this crosstalk, RhoA elevation substantially prolonged duration of ERK activation at both normal and reduced Ras levels. Our model suggests ERK may be activated in the absence of Ras. When Ras is overexpressed, RhoA elevation significantly prolongs duration of ERK activation but reduces the amount of active ERK partly due to competitive binding between ERK and RhoA to MEKK1. Our results indicated possible roles of RhoA in affecting ERK activities via MEKK1-mediated crosstalk, which seems to be supported by indications from several experimental studies that may also implicate the collective regulation of cell fate and progression of cancer and other diseases. © The Author 2008. Published by Oxford University Press. All rights reserved.
Source Title: Bioinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/53170
ISSN: 13674803
DOI: bioinformatics/btn635
Appears in Collections:Staff Publications

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