Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model
Joint Authors
Peng, Guang
Peng, Yang
Scott, Paul
Tao, Ruikang
Wu, Yan
Wang, Hua
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The molecular circuits of cell cycle control serve as a key hub to integrate from endogenous and environmental signals into a robust biological decision driving cell growth and division.
Dysfunctional cell cycle control is highlighted in a wide spectrum of human cancers.
More importantly the mainstay anticancer treatment such as radiation therapy and chemotherapy targets the hallmark of uncontrolled cell proliferation in cancer cells by causing DNA damage, cell cycle arrest, and cell death.
Given the functional importance of cell cycle control, the regulatory mechanisms that drive the cell division have been extensively investigated in a huge number of studies by conventional single-gene approaches.
However the complexity of cell cycle control renders a significant barrier to understand its function at a network level.
In this study, we used mathematical modeling through modern graph theory and differential equation systems.
We believe our network evolution model can help us understand the dynamic cell cycle control in tumor evolution and optimizing dosing schedules for radiation therapy and chemotherapy targeting cell cycle.
American Psychological Association (APA)
Peng, Yang& Scott, Paul& Tao, Ruikang& Wang, Hua& Wu, Yan& Peng, Guang. 2017. Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1135560
Modern Language Association (MLA)
Peng, Yang…[et al.]. Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1135560
American Medical Association (AMA)
Peng, Yang& Scott, Paul& Tao, Ruikang& Wang, Hua& Wu, Yan& Peng, Guang. Dissect the Dynamic Molecular Circuits of Cell Cycle Control through Network Evolution Model. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1135560
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135560