MicroRNA Regulatory Network: Structure and Function

This book discusses topics related to the topological structure and biological function of gene networks regulated by microRNAs. It focuses on analyzing the relation between topological structure and biological function, applying these theoretical results to gene networks involving microRNA, illustrating their biological mechanisms, and identifying the roles of microRNA in controlling various phenomena emerging from the networks. In addition, the book explains how to control the complex biological phenomena using mathematical tools and offers a new perspective on studying microRNA. It is a useful resource for graduate students and researchers who are working on or interested in microRNAs and gene network.

Autorentext

Dr. Zengrong Liu is a professor at the Department of Mathematics, Shanghai University. He is also the vice director of the Institute of Systems Biology, Shanghai University. Prof. Liu is the editor of the Journal of Nonlinear Dynamics, and Applied Mathematics and Mechanics. His research focuses on nonlinear science, complex system theory and systems biology. He has published more than 200 articles in these fields.

Dr. Jianwei Shen is a professor at the School of Mathematics and Statistics, Xuchang University. His research focuses on the theory and application of nonlinear dynamics. Prof. Shen was supported by the Program for New Century Excellent Talents in University from Ministry of Education, China. He has published more than 30 research articles in international journals.

Dr. Shuiming Cai is an associate professor at the Faculty of Science, Jiangsu University. His research focuses on dynamics and control of complex systems. Dr. Fang Yan is a lecturer atthe School of Mathematics, Yunan Normal University. Her research focuses on dynamics and control, and system biology.

Inhalt
Introduction.- Topological structure and biological function of gene network regulated by microRNA.- MicroRNA function of some life process in the gene network.- Controlling the complex biological phenomena using mathematical tools.