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美国亚利桑那州立大学王晓博士学术报告通知

【来源:物理学院 | 发布日期:2017-06-05 | 作者:null 】     【选择字号:

应物理学院邀请,美国亚利桑那州立大学王晓博士来兰州大学访问,并于68日下午作学术报告,敬请大家参加。

 

报告题目:A synthetic biology approach to Waddington landscape and cell fate determination

报告时间:201768日下午230

报告地点:格致楼3016会议室

 

报告摘要:

The process of cell fate determination has been depicted intuitively as cells travelling and resting on a rugged landscape, which has been probed by various theoretical studies. However, few studies have experimentally demonstrated how underlying gene regulatory networks shape the landscape and hence orchestrate cellular decision-making in the presence of both signal and noise. Here we tested different topologies and verified a synthetic gene circuit with mutual inhibition and auto-activations to be quadrastable, which enables direct study of quadruple cell fate determination on an engineered landscape. We show that cells indeed gravitate towards local minima and signal inductions dictate cell fates through modulating the shape of the multistable landscape. Experiments, guided by model predictions, reveal that sequential inductions generate distinct cell fates by changing landscape in sequence and hence navigating cells to different final states. This work provides a synthetic biology framework to approach cell fate determination and suggests a landscape-based explanation of fixed induction sequences for targeted differentiation. 

 

报告人简介

Dr. Xiao Wang is an Associate Professor in Biomedical Engineering at Arizona State University, USA. He received his PhD degree from the University of North Carolina at

Chapel Hill in 2006. As the Principal Investigator of the Systems and Synthetic Biology Research Group, he is interested in using both forward (synthetic biology) and reverse (systems biology) engineering approaches to understand biology. Specific research topics include engineering synthetic multistable gene networks, systems biology research on small network motifs with feedbacks, understanding the role of noise in cell differentiation and development, and analysing molecular evolution. He

can be contacted by e-mail at xiaowang@asu.edu