演讲人: 陈洛南，中国科学院上海生命科学研究院

讲座时间: 2014年12月14日，16:00-17:00pm

讲座地点: 中国人民大学环境学院316房间

讲座内容:

Non-smooth or even abrupt state changes exist during many biological processes, e.g., cell differentiation process, proliferation process, or even disease deterioration process. Such dynamics generally signal the emergence of critical transition phenomena, which result in drastic changes in system states or eventually qualitative changes in phenotypes. Hence, it is of great importance to detect such transitions and further reveal their molecular mechanism at network level. Here, we describe the recent advances on dynamical network biomarkers (DNBs) as well as the related theoretical foundation, which can identify not only early signals of the critical transitions but also their leading networks, which drive the whole system to initiate such transitions.For demonstrating the effectiveness of this novel approach, examples for complex diseases are also provided to detect pre-disease stage, for which traditional methods failed.

References:

1. Luonan Chen, Rui Liu, Zhiping Liu, Meiyi Li, Kazuyuki Aihara.Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers. Scientific Reports. 2, 342; DOI:10.1038/srep00342, 2012.

2. Rui Liu, Meiyi Li, Zhi-Ping Liu, Jiarui Wu, Luonan Chen, Kazuyuki Aihara. Identifying critical transitions and their leading networks in complex diseases. Scientific Reports, 2, 813; DOI: 10.1038/srep00813, 2012.