Interlocked feedback loops balance the adaptive immune response

发布时间：2022-04-21 作者：浏览次数：

Speaker:	杨凌	DateTime:	2022年4月23日（周六）下午2：30-:4：30
Brief Introduction to Speaker: 现任苏州大学数学科学学院、系统生物学研究中心教授、博导。长期从事生物系统的数学模型方面工作，主要包括：细胞周期，蛋白质-蛋白质作用网络，心肌细胞新陈代谢网络，以及生理节律，基因敲除小鼠表型数据分析等方面的研究。主要成果发表在Physical Review Letters, Biophysical Journal，Cell Death and Differentiation，Nucleic acids research, PLoS Genetics、Journal of Biological Chemistry 等 Top Journal 上。担任国家重点研发计划重点专项课题负责人，主持四个国家自然科学基金面上项目。		Place:	腾讯会议: 653538938
Abstract:Adaptive immune responses can be activated by harmful stimuli. Upon activation, a cascade of biochemical events ensues the proliferation and the differentiation of T cells, which can remove the stimuli and undergo cell death to maintain immune cell homeostasis. However, normal immune processes can be disrupted by certain dysregulations, leading to pathological responses, such as cytokine storms and immune escape. In this paper, a qualitative mathematical model, composed of key feedback loops within the immune system, was developed to study the dynamics of various response behaviors. First, simulation results of the model well reproduce the results of several immune response processes, particularly pathological immune responses. Next, we demonstrated how the interaction of positive and negative feedback loops leads to irreversible bistable, reversible bistable and monostable, which characterize different immune response processes: cytokine storm, normal immune response, immune escape...

上一条： On the existence and stability of travelling vortex pairs for the gSQG equation
下一条：药物毒理效应的普适性模型与数据分析