Bifurcations and Dynamics of Cancer Signaling Network Regulated by MicroRNA | Zendy

Qianqian Zheng | Zendy; Jianwei Shen | Zendy

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Bifurcations and Dynamics of Cancer Signaling Network Regulated by MicroRNA

Author(s) -

Qianqian Zheng,

Jianwei Shen

Publication year - 2013

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2013/176956

Subject(s) - microrna , gene regulatory network , dynamics (music) , oscillation (cell signaling) , variety (cybernetics) , biological network , cancer , stability (learning theory) , computer science , key (lock) , complex network , negative feedback , biology , computational biology , gene , physics , gene expression , genetics , ecology , artificial intelligence , quantum mechanics , voltage , machine learning , world wide web , acoustics

MicroRNAs are currently considered as key regulators of a wide variety of biological pathways and regulate many processes of life and obtained more and more attention in recent years. In this paper, we investigate the dynamics of gene network regulated by miR-34a (microRNA) involved in triple negative feedback loop. As we know that the p53 network involve in cancer, How the cancer arise is unclear. We investigate this negative feedback network by using mathematical model and drive the theoretical results of globally asymptotic stability and provide the sufficient conditions for the periodic oscillation. These results are propitious to understand how p53 network involved in miR-34a induces the cancer

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