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  5. The complexities and versatility of the RAS-to-ERK signalling system in normal and cancer cells
 
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The complexities and versatility of the RAS-to-ERK signalling system in normal and cancer cells

Author(s)
Fey, Dirk  
Matallanas, David  
Rauch, Jens  
Rukhlenko, Oleksii S.  
Kholodenko, Boris N.  
Uri
http://hdl.handle.net/10197/9769
Date Issued
2016-10
Date Available
2019-04-02T11:12:23Z
Abstract
The intricate dynamic control and plasticity of RAS to ERK mitogenic, survival and apoptotic signalling has mystified researches for more than 30 years. Therapeutics targeting the oncogenic aberrations within this pathway often yield unsatisfactory, even undesired results, as in the case of paradoxical ERK activation in response to RAF inhibition. A direct approach of inhibiting single oncogenic proteins misses the dynamic network context governing the network signal processing. In this review, we discuss the signalling behaviour of RAS and RAF proteins in normal and in cancer cells, and the emerging systems-level properties of the RAS-to-ERK signalling network. We argue that to understand the dynamic complexities of this control system, mathematical models including mechanistic detail are required. Looking into the future, these dynamic models will build the foundation upon which more effective, rational approaches to cancer therapy will be developed.
Sponsorship
European Commission Horizon 2020
European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Type of Material
Review
Publisher
Elsevier
Journal
Seminars in Cell & Developmental Biology
Volume
58
Start Page
96
End Page
107
Copyright (Published Version)
2016 Elsevier
Subjects

Dynamic modelling

MAPK cascade

Systems biology

DOI
10.1016/j.semcdb.2016.06.011
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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v4 Fey Complexity of RAS-ERK signalling.pdf

Size

1.15 MB

Format

Adobe PDF

Checksum (MD5)

7f1a06065c7d8a11ee4e1faf9f89c1ea

Owning collection
SBI Research Collection
Mapped collections
Conway Institute Research Collection•
Medicine Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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