Architecture‐dependent robustness in a class of multiple positive feedback loops. Issue 1 (1st February 2013)

• Record Type: Journal Article
• Authors: Shi, Changhong; Li, Han‐xiong; Zhou, Tianshou
• Is Part Of: IET systems biology. Volume 7:Issue 1(2013)
• Page Start: 1
• Page End: 10
• Publication Date: 2013-02-01
• Subjects: cellular biophysics -- feedback -- sampling methods -- stochastic processes; network architecture -- low stable state -- stochastic simulation -- bistable behaviour -- homogeneous DPFL circuit -- robustness analysis -- large‐scale sampling -- DNFL -- double negative feedback loop -- double positive feedback loop -- three‐loop class -- two‐loop class -- one‐loop class -- cell architecture -- bistability -- multiple positive feedback loops -- architecture‐dependent robustness; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2011.0090
• Languages: English
• ISSNs: 1751-8849

Abstract

Abstract : Many types of multiple positive feedbacks with each having potentials to generate bistability exist extensively in natural, raising the question of why a particular architecture is present in a cell. In this study, the authors investigate multiple positive feedback loops across three classes: one‐loop class, two‐loop class and three‐loop class, where each class is composed of double positive feedback loop (DPFL) or double negative feedback loop (DNFL) or both. Through large‐scale sampling and robustness analysis, the authors find that for a given class, the homogeneous DPFL circuit (i.e. the coupled circuit that is composed of only DPFLs) is more robust than all the other circuits in generating bistable behaviour. In addition, stochastic simulation shows that the low stable state is more robust than the high stable state in homogeneous DPFL whereas the high‐stable state is more robust than the low‐stable state in homogeneous DNFL circuits. It was argued that this investigation provides insight into the relationship between robustness and network architecture.