EASF Webinar :
Homepage: https://sites.google.com/view/engapplysciforum/home
Twitter: https://twitter.com/EasfWebinar
About the Speaker:
Dr. Xingbo Yang is currently a postdoc at Dan Needleman lab at Harvard University. He obtained his PhD in soft condensed matter physics in 2015 at Syracuse University, where his research focused on modeling of active matter systems under the supervision of Cristina Marchetti. From 2015 to 2017, he worked at physics department of Northwestern University, focusing on cell mechanics in developmental biology. From 2017 to present, he is working on cell metabolism at Dan Needleman lab. He is interested in connecting cell metabolism with biological self-organization.
Personal Website:
Google Scholar: https://scholar.google.com/citations?user=lUzkhbgAAAAJ&hl=en
Personal Website: https://www.xingboyang.net/
About this talk:
Cells consume energy through metabolism to drive the processes of life. While the molecules of major metabolic pathways have been identified and their biochemical properties characterized, the dynamics of metabolic pathways remain largely unknown. Metabolic activities vary both in time and in space during life processes including cell cycles, embryo development and alter in diseases. The spatiotemporal metabolic dynamics are mostly uncharacterized during these processes partly due to a lack of approaches to measure metabolic activities with sufficient resolution in living systems. In this talk, I will present a quantitative metabolic imaging method to measure metabolic state of cells with subcellular resolution. Interpreting the measurements with a biophysical model of mitochondrial metabolism, we are able to predict mitochondrial respiration rate with subcellular resolution. This technique has led to the discovery of previously unknown subcellular gradient of metabolic activities in mouse oocyte, which opens up new research avenues of connecting spatiotemporal metabolic variations with biological self-organization.
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