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  5. Feedback regulation in cell signalling: Lessons for cancer therapeutics
 
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Feedback regulation in cell signalling: Lessons for cancer therapeutics

Author(s)
Nguyen, Lan K.  
Kholodenko, Boris N.  
Uri
http://hdl.handle.net/10197/9778
Date Issued
2016-02
Date Available
2019-04-03T07:50:40Z
Abstract
The notion of feedback is fundamental for understanding signal transduction networks. Feedback loops attenuate or amplify signals, change the network dynamics and modify the input-output relationships between the signal and the target. Negative feedback provides robustness to noise and adaptation to perturbations, but as a double-edged sword can prevent effective pathway inhibition by a drug. Positive feedback brings about switch-like network responses and can convert analog input signals into digital outputs, triggering cell fate decisions and phenotypic changes. We show how a multitude of protein-protein interactions creates hidden feedback loops in signal transduction cascades. Drug treatments that interfere with feedback regulation can cause unexpected adverse effects. Combinatorial molecular interactions generated by pathway crosstalk and feedback loops often bypass the block caused by targeted therapies against oncogenic mutated kinases. We discuss mechanisms of drug resistance caused by network adaptations and suggest that development of effective drug combinations requires understanding of how feedback loops modulate drug responses.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Type of Material
Journal Article
Publisher
Elsevier
Journal
Seminars in Cell & Developmental Biology
Volume
50
Start Page
85
End Page
94
Copyright (Published Version)
2015 Elsevier
Subjects

Drug resistance

Signal transduction

Network dynamics

Feedback regulation

Mathematical modellin...

Network analysis

Systems stability

DOI
10.1016/j.semcdb.2015.09.024
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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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/.
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