Mathematical Modeling of Cell Fate Decision-Making, Predicting and Controlling

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Guest Editors :

Prof. Xiaojun Tian
Email : Xiaojun.Tian@asu.edu
School of Biological and Health Systems Engineering, Arizona State University, USA

Prof. Xiao Wang
Email : xiaowang@asu.edu
School of Biological and Health Systems Engineering, Arizona State University, USA

Prof. Ying-Cheng Lai
Email : Ying-Cheng.Lai@asu.edu
School of Electrical, Computer and Energy Engineering, Arizona State University, USA

Summary for this topic

Cell fate determination is the process where cells respond to internal/external stimulus and decide whether to change their phenotypes. The cell fates are often tightly regulated by complex regulatory nonlinear networks and their dysregulation may lead to complex diseases, such as cancer and neurodegenerative diseases. Due to the high complexity and nonlinearity of these regulatory networks, an intuitive linear understanding is not enough to fully understand the mechanism of these cell fate decisions. Mathematical modeling has helped on elucidating the underlying mechanisms for a wide range of cell fate decisions, including embryogenesis, cell reprogramming, cell death, cell cycle phase transition, and epithelial-to-mesenchymal transition. Mathematical modeling has also helped in predicting and controlling the cell fates and thus providing new concepts to biology and new insight for biomedical intervention design.

This special issue intends to focus on the mathematical model developments and theoretical analysis for biological systems with an emphasis on work related to cell fate decisions. The work should have a strong connection with biology. Experimental verification is appreciated but not required. Potential topics include but are not limited to :

1. Nonlinear Dynamics
2. Cell fate decision
3. Bistability and Multi-stability
4. Controllability
5. Prediction of new cell fates
6. Noise-induced Cell fate transition
7. Early warning signals
8. Tipping point

Paper Submission

Full text submission due date: January 31, 2019
Full paper should be submitted online to the journal at https://ef.msp.org/submit_new.php?jpath=aims_mbe
Before submission, authors should carefully read over the instruction for Authors which are located at http://www.aimspress.com/news/295.html

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