Published May 2013 | Version v1
Journal article

Coupling switches and oscillators as a means to shape cellular signals in biomolecular systems

  • 1. Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu 212013 (China)
  • 2. Institute of Systems Biology, Shanghai University, Shanghai 200444 (China)
  • 3. Collaborative Research Center for Innovative Mathematical Modeling, Institute of Industrial Science, University of Tokyo, Tokyo 153-8505 (Japan)
  • 4. Key Laboratory of Systems Biology, SIBS-Novo Nordisk Translational Research Center for PreDiabetes, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031 (China)

Description

To understand how a complex biomolecular network functions, a decomposition or a reconstruction process of the network is often needed so as to provide new insights into the regulatory mechanisms underlying various dynamical behaviors and also to gain qualitative knowledge of the network. Unfortunately, it seems that there are still no general rules on how to decompose a complex network into simple modules. An alternative resolution is to decompose a complex network into small modules or subsystems with specified functions such as switches and oscillators and then integrate them by analyzing the interactions between them. The main idea of this approach can be illustrated by considering a bidirectionally coupled network in this paper, i.e., coupled Toggle switch and Repressilator, and analyzing the occurrence of various dynamics, although the theoretical principle may hold for a general class of networks. We show that various biomolecular signals can be shaped by regulating the coupling between the subsystems. The approach presented here can be expected to simplify and analyze even more complex biological networks

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2012.11.011

Additional details

Identifiers

DOI
10.1016/j.chaos.2012.11.011;
PII
S0960-0779(12)00221-4;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
50
Journal Page Range
p. 115-126
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45052721
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
FUNCTIONS; GAIN; INTERACTIONS; OSCILLATORS; SHAPE; SIGNALS; SWITCHES
Descriptors DEC
AMPLIFICATION; ELECTRICAL EQUIPMENT; ELECTRONIC EQUIPMENT; EQUIPMENT

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.