Room 306, No.5 Science Building
The p53 protein is one of the most important tumor suppressors, mediating the cellular response to various stress signals. It is increasingly evident that how p53 concentration evolves temporally remarkably affects cellular outcome. By modeling and performing numerical simulations, we have systematically explored how the p53-centered signaling network responds to DNA damage, telomere erosion, oncogene activation and hypoxia. In this talk I will report our recent work, elucidating the association between p53 dynamics and cell-fate decision. Reference：  R.Yang, et al. Cell type-dependent bimodal p53 activation engenders a dynamic mechanism of chemoresistance. Sci. Adv. 4, eaat5077 (2018).  X. Tian, et al. Modeling the response of a tumor-suppressive network to mitogenic and oncogenic signals. Proc. Natl. Acad. Sci. USA 114, 5337 (2017).  X.P. Zhang, et al. Two-phase dynamics of p53 in the DNA damage response. Proc. Natl. Acad. Sci. USA 108, 8990 (2011).  P. Wang, et al. Modeling the regulation of p53 activation by HIF-1 upon hypoxia. FEBS Lett. 593, 2596 (2019).
Feng Liu is a professor at the School of Physics of Nanjing University. He obtained a bachelor’s degree (1993), a master’s degree (1996) and a doctoral degree (1998) from the Department of Physics of Nanjing University. He has worked at Nanjing University since 1999 and was promoted to professor in 2006. He once worked collaboratively at the University of Sussex (2001) and the University of Brandeis (2003-2005). It mainly studies the dynamics of signal processing in life systems, focusing on gene transcriptional regulation, cell signal transduction, and neural computation of cognitive processes. He has published more than 60 papers in journals such as Science Advances and PNAS.