Global Relative Input-Output Sensitivities of the Feed-Forward Loops in Genetic Networks
The feed-forward loops (FFLs) are fundamental network motifs with three components from gene regulatory networks to signaling transduction networks. Over the last decade, the structures and functions of FFLs, as well as the intrinsic relationships between different FFLs have received increasing attention from various disciplines. Based on the proposed global relative parameter sensitivities (GRPS) algorithm, this paper aims at investigating the global relative input-output sensitivities (GRIOS) of FFLs in genetic networks. The results indicate that the most frequently appeared C1 and I1 configurations are quite insensitive under various levels of inputs and also rather robust to system parameters. It follows that the functions of above circuits are robust for different inputs. It is also the reason why C1 and I1 are ubiquitous in various real-world genetic networks, especially in sensory related transcriptional networks. Moreover, the proposed GRIOS approach sheds some light on the potential practical applications, such as the synthetic genetic circuits and biological experimental design.
Feed-forward loops genetic networks global relative input-output sensitivities
WANG Pei L(U) Jinhu ZHANG Yuhuan OGORZALEK J. Maciej
School of Mathematics and Information Sciences, Henan University, Kaifeng 475004, P. R. China School LSC, ISS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P School of Mathematical Sciences, Capital Normal University, Beijing 100048, China Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Krakow 30-059,
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
7376-7381
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）