Noise and stochastic effect exist in most biological systems due to many intrinsic and extrinsic factors.  In this talk, I will discuss strategies and principles for noise attenuation and robustness to genetic and environmental perturbations in signal transduction, embryonic patterning, and regeneration driven by stem cells. In one case, I will introduce a critical quantity that dictates capability of attenuating temporal noise in feedback systems. In another case, I will show that noise in gene regulations actually enables reduction of stochastic effects in spatial patterns during embryonic development. Finally, novel experimental data that support our modeling and computational predictions will be presented and several multi-scale, stochastic, and computational modeling frameworks that are required for simulating such complex biological systems will be introduced.

 

报告人简介:  聂青教授本科毕业于武汉大学数学系, 1995 年于Ohio State University 获得数学博士学位, 现为 UC Irvine 教授, 数学与计算生物学中心 (CMCB)主任, 数学与计算机生物学(MCB) Ph.D Gateway Program执行主任. 研究领域包括计算系统生物学,科学计算,计算流体力学等.