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The dynamical roles of miR-17-92 on the E2F-related network during the G1/S transition

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成果类型:
期刊论文
作者:
He, Peng;Billy, Kirunda John;Ma, Huishu;Jia, Ya(贾亚);Yang, Lijian*
通讯作者:
Yang, Lijian
作者机构:
[Jia, Ya; Ma, Huishu; He, Peng; Yang, Lijian; Billy, Kirunda John] Cent China Normal Univ, Inst Biophys, Wuhan 430079, Hubei, Peoples R China.
[Jia, Ya; Ma, Huishu; He, Peng; Yang, Lijian; Billy, Kirunda John] Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Yang, Lijian] C
Cent China Normal Univ, Inst Biophys, Wuhan 430079, Hubei, Peoples R China.
Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Nonlinear dynamic analysis;Bifurcation;Biological network;Fluctuation;microRNA;Cell cycle
期刊:
Nonlinear Dynamics
ISSN:
0924-090X
年:
2019
卷:
95
期:
1
页码:
259-271
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11775091, 11474117]; CCNU from the colleges' basic research and operation of MOEMinistry of Education, Singapore [CCNU18QN035]
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
心理学院
摘要:
E2F is a key transcription factor in the cell cycle network that regulates cell transition from G1 to S phase. MiR-17-92 plays an important role in the expression of E2F and regulates the progression of the cell cycle. Based on the Rb-E2F-MiR cell cycle network, we found that introduction of miR-17-92 in the network prolongs the cell cycle transition from G1 to S phase effectively and also maintains the robustness of the network against fluctuations. The dynamics of E2F are highly nonlinear, and by analysis of the bifurcation diagrams, we found...

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