DocumentCode
495655
Title
Dynamic Analysis of Feedback Loops in Extra-Cellular Signal Regulated Kinase Signal Network
Author
Han, Yong ; Li, Yan ; Wang, Yonghua ; Fang, Hua ; Zhang, Shuwei
Author_Institution
Sch. of Chem. Eng., Dalian Univ. of Technol., Dalian, China
Volume
1
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
543
Lastpage
551
Abstract
Extra-cellular signal regulated kinase (ERK) signal network plays an important role in regulating the fundamental cellular functions such as cell proliferation, survival, differentiation and motility. Development and analysis of mathematical model can help us acquire a deep understanding of the complex behavior of ERK signal transduction network. This paper presents a computational model that offers an integrated quantitative and dynamic simulation of ERK signal transduction network, activated by epidermal growth factor (EGF). The mathematic model contains the activation kinetics of the pathway, a multitude of feedback loops and connection of scaffold proteins. The model provides insight into signal-response relationships between the binding of EGF to its receptor at the cell surface and activation of downstream proteins in the signaling cascade. The different influence of positive and negative feedback loops of the ERK signal transduction pathway were mainly analyzed, indicating that feedback loops were the main impacting factor to the oscillation of ERK signal transduction pathway. The predictions of this oscillation of ERK activation agree well with the literature. It can lead to signal waves of the downstream substrates and induce corresponding biological behaviors.
Keywords
cell motility; enzymes; feedback; molecular biophysics; proteins; EGF binding; ERK signal transduction network; activation kinetics; cell motility; cell proliferation; dynamic analysis; epidermal growth factor; extra-cellular signal regulated kinase; feedback loop; scaffold protein; Cellular networks; Computational modeling; Computer networks; Epidermis; Feedback loop; Kinetic theory; Mathematical model; Mathematics; Proteins; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.142
Filename
5171230
Link To Document