Key role of time-delay and connection topology in shaping the dynamics of noisy genetic regulatory networks

2011 ◽  
Vol 21 (4) ◽  
pp. 047522 ◽  
Author(s):  
X. L. Yang ◽  
D. V. Senthilkumar ◽  
Z. K. Sun ◽  
J. Kurths
Keyword(s):  
Time Delay ◽  
Regulatory Networks ◽  
Genetic Regulatory Networks

scholarly journals Dissipativity and Error Feedback Controller Design of Time-Delay Genetic Regulatory Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yonggang Ma ◽  
Junmei Liu ◽  
Jiao Ai
Keyword(s):  
Time Delay ◽  
Regulatory Networks ◽  
Controller Design ◽  
Estimation Error ◽  
Rapid Development ◽  
Genetic Regulation ◽  
Genetic Regulatory Networks ◽  
Error Feedback ◽  
Attraction Set ◽  
Parameter Dependent

Genetic regulatory networks (GRNs) play an important role in the development and evolution of the biological system. With the rapid development of DNA technology, further research on GRNs becomes possible. In this paper, we discuss a class of time-delay genetic regulatory networks with external inputs. Firstly, under some reasonable assumptions, using matrix measures, matrix norm inequalities, and Halanay inequalities, we give the global dissipative properties of the solution of the time-delay genetic regulation networks and estimate the parameter-dependent global attraction set. Secondly, an error feedback control system is designed for the time-delay genetic control networks. Furthermore, we prove that the estimation error of the model is asymptotically stable. Finally, two examples are used to illustrate the validity of the theoretical results.

scholarly journals Analyzing the miRNA-Gene Networks to Mine the Important miRNAs under Skin of Human and Mouse

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jianghong Wu ◽  
Husile Gong ◽  
Yongsheng Bai ◽  
Wenguang Zhang
Keyword(s):  
Gene Networks ◽  
Regulatory Networks ◽  
Mirna Gene ◽  
Genetic Regulatory Networks ◽  
Host Immunity ◽  
Genetic Networks ◽  
Target Sites ◽  
Enormous Number ◽  
Human And Mouse

Genetic networks provide new mechanistic insights into the diversity of species morphology. In this study, we have integrated the MGI, GEO, and miRNA database to analyze the genetic regulatory networks under morphology difference of integument of humans and mice. We found that the gene expression network in the skin is highly divergent between human and mouse. The GO term of secretion was highly enriched, and this category was specific in human compared to mouse. These secretion genes might be involved in eccrine system evolution in human. In addition, total 62,637 miRNA binding target sites were predicted in human integument genes (IGs), while 26,280 miRNA binding target sites were predicted in mouse IGs. The interactions between miRNAs and IGs in human are more complex than those in mouse. Furthermore,hsa-miR-548,mmu-miR-466, andmmu-miR-467have an enormous number of targets on IGs, which both have the role of inhibition of host immunity response. The pattern of distribution on the chromosome of these three miRNAs families is very different. The interaction of miRNA/IGs has added the new dimension in traditional gene regulation networks of skin. Our results are generating new insights into the gene networks basis of skin difference between human and mouse.

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