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个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:化工学院
电子邮箱:yanli@dlut.edu.cn
Toward a system-level understanding of microRNA pathway via mathematical modeling
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论文类型:期刊论文
发表时间:2010-04-01
发表刊物:BIOSYSTEMS
收录刊物:SCIE
卷号:100
期号:1
页面范围:31-38
ISSN号:0303-2647
关键字:MicroRNA pathway; Deterministic models; Sensitivity analysis; Stochastic models; Noise
摘要:The microRNA (miRNA) pathway plays multiple roles in regulating mechanisms controlling both physiological and pathological processes such as the cell proliferation and cancers. But little is known about the dynamic properties, key rate-limiting steps as well as the stochastic noise in this pathway. Presently, a system-theoretic approach was presented to analyze and quantitative modeling of a generic miRNA pathway, which can be implemented deterministically and stochastically. Our results show that the inferred dynamic properties obtained from the mathematical models of the miRNA pathway are well consistent with previous experimental observations. By sensitivity analysis, the key steps in this pathway were found to be the miRNA gene transcription, RISC decay and mRNA formation. In addition, the results of quantified noise strength along the pathway demonstrate that the pathway can reduce the ingress noise and reveal the noise robustness property. Our findings also present testable hypothesis for experimental biologists to further investigate miRNA's increasing functional roles in regulating various cellular processes. (C) 2009 Elsevier Ireland Ltd. All rights reserved.