报告题目（Title）：Critical roles of noise in biology: studies from two extreme cases
报 告 人（Speaker）：Dr. Ruoshi Yuan (袁若石) (Harvard University, USA)
报告时间（Time）：2019年1月15日（周二）18：00
报告地点（Place）：校本部G309
邀请人（inviter）：敖平
报告摘要（Abstract）：
Noise is ubiquitous in biological systems: individual chemical reactions are probabilistic and many chemical species in cells present in low numbers. On one side suppressing noise is a key task that a biological system is being optimized for through evolution. On the other side, noise can be a driving force for many cell state transitions. I will discuss two extreme cases here where noise play critical roles: one is the study of how single cells create accurate timing in the noisy intracellular environment. It is based on enormous quantitative data from recently developed high-throughput single cell time lapse imaging and screening platform. The other is the stochastic modeling of an extremely complex diseases, cancer. In the former case, great details of the system can be observed by high quality and high throughput single cell data, where new principle of noise suppression is discovered. In the later case, core endogenous network models to capture common features of cancers are built regardless of the daunting details and complexity of the disease can be well rationalized. I will briefly review the distinct stochastic approaches behind the two cases and demonstrate the multiple facets of noise in biological systems.
