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  5. Competing to coordinate cell fate decisions: the MST2-Raf-1 signaling device
 
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Competing to coordinate cell fate decisions: the MST2-Raf-1 signaling device

Author(s)
Nguyen, Lan K.  
Matallanas, David  
Romano, David  
Kholodenko, Boris N.  
Kolch, Walter  
Uri
http://hdl.handle.net/10197/9116
Date Issued
2015-01-15
Date Available
2017-12-15T10:36:43Z
Abstract
How do biochemical signaling pathways generate biological specificity? This question is fundamental to modern biology, and its enigma has been accentuated by the discovery that most proteins in signaling networks serve multifunctional roles. An answer to this question may lie in analyzing network properties rather than individual traits of proteins in order to elucidate design principles of biochemical networks that enable biological decision-making. We discuss how this is achieved in the MST2/Hippo-Raf-1 signaling network with the help of mathematical modeling and model-based analysis, which showed that competing protein interactions with affinities controlled by dynamic protein modifications can function as Boolean computing devices that determine cell fate decisions. In addition, we discuss areas of interest for future research and highlight how systems approaches would be of benefit
Sponsorship
Science Foundation Ireland
Other Sponsorship
University College Dublin's Seed Funding program (LKN).
Type of Material
Journal Article
Publisher
Taylor & Francis
Journal
Cell Cycle
Volume
14
Issue
2
Start Page
189
End Page
199
Copyright (Published Version)
2015 the Authors
Subjects

Affinity mediated pho...

Apoptosis

Cell fate decision

Competing protein int...

Mathematical modellin...

Proliferation

Signaling switches

Systems analysis

DOI
10.4161/15384101.2014.973743
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/
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Competing to coordinate cell fate decisions the MST2-Raf-1.pdf

Size

827.94 KB

Format

Adobe PDF

Checksum (MD5)

c0b51a86e547505d98f44519555045ac

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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