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Understanding the mTOR signaling pathway via mathematical modeling

Sulaimanov, N. and Klose, M. and Busch, H. and Boerries, M. (2017):
Understanding the mTOR signaling pathway via mathematical modeling.
In: WIREs Systems Biology and Medicine, Wiley, (1379), [Online-Edition: http://onlinelibrary.wiley.com/doi/10.1002/wsbm.1379/full],
[Article]

Abstract

The mechanistic target of rapamycin (mTOR) is a central regulatory pathway that integrates a variety of environmental cues to control cellular growth and homeostasis by intricate molecular feedbacks. In spite of extensive knowledge about its components, the molecular understanding of how these function together in space and time remains poor and there is a need for Systems Biology approaches to perform systematic analyses. In this work, we review the recent progress how the combined efforts of mathematical models and quantitative experiments shed new light on our understanding of the mTOR signaling pathway. In particular, we discuss the modeling concepts applied in mTOR signaling, the role of multiple feedbacks and the crosstalk mechanisms of mTOR with other signaling pathways. We also discuss the contribution of principles from information and network theory that have been successfully applied in dissecting design principles of the mTOR signaling network. We finally propose to classify the mTOR models in terms of the time scale and network complexity, and outline the importance of the classification toward the development of highly comprehensive and predictive models.

Item Type: Article
Erschienen: 2017
Creators: Sulaimanov, N. and Klose, M. and Busch, H. and Boerries, M.
Title: Understanding the mTOR signaling pathway via mathematical modeling
Language: English
Abstract:

The mechanistic target of rapamycin (mTOR) is a central regulatory pathway that integrates a variety of environmental cues to control cellular growth and homeostasis by intricate molecular feedbacks. In spite of extensive knowledge about its components, the molecular understanding of how these function together in space and time remains poor and there is a need for Systems Biology approaches to perform systematic analyses. In this work, we review the recent progress how the combined efforts of mathematical models and quantitative experiments shed new light on our understanding of the mTOR signaling pathway. In particular, we discuss the modeling concepts applied in mTOR signaling, the role of multiple feedbacks and the crosstalk mechanisms of mTOR with other signaling pathways. We also discuss the contribution of principles from information and network theory that have been successfully applied in dissecting design principles of the mTOR signaling network. We finally propose to classify the mTOR models in terms of the time scale and network complexity, and outline the importance of the classification toward the development of highly comprehensive and predictive models.

Journal or Publication Title: WIREs Systems Biology and Medicine
Number: 1379
Publisher: Wiley
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology
Date Deposited: 03 Mar 2017 10:23
Official URL: http://onlinelibrary.wiley.com/doi/10.1002/wsbm.1379/full
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