2020.11.16 Interdependency in physiologic networks

2021-01-22 10:19:06

北京大学定量生物学中心

学术报告

题    目: Interdependency in physiologic networks

报告人: Dr. Nicholas Stroustrup

Group Leader at the Centre for Genomic Regulation (CRG), Barcelona, Spain

时    间: 1116日(周一)16:00-17:00

地    点: Online (Zoom会议)

会议 ID640 8468 0249

https://zoom.com.cn/j/64084680249

主持人: Lucas Carey

摘 要:

Aging involves a diverse set of physiologic declines seen at many levels of biological organization.  Our organs, tissues, cells, organelles, and molecules all show pathological changes that worsen with age.  These changes do not arise independently, but rather emerge as a complex syndrome of interrelated problems, making it difficult to assign causality to one or a small number of molecular mechanisms.

Previously, we identified a strong statistical constraint in the effects of diverse lifespan-altering interventions.  Exposure to oxidative stress, changes in diet, and genetic perturbation to insulin/IGF signalling, hsf-1 signalling, and hif-1 signalling all produce a temporal scaling of the lifespan distribution.  This temporal scaling suggests that diverse interventions produce a common effect on the dynamics of aging--a canalisation that could be explained by the high-level of interdependency within the physiologic networks determining lifespan.  We develop these results into framework drawing on concepts from competing risks and complexity theory, that links the specific molecular-level function of genes to their systemic influence on the dynamics of aging.

报告人简介:

Nicholas got his BS.E in Electical Engineering at Princeton University in 2005 and his Ph.D in Systems Biology at Harvard University in 2013.

Nicholas is an electrical engineer and molecular geneticist studying aging and complex systems approaches in physiology.  He was a graduate student with Walter Fontana and an independent research fellow in Harvard’s Department of Systems Biology. From 2017, he is a group leader at the Centre for Genomic Regulation (CRG), Barcelona (Spain).

北京大学定量生物学中心