2016.06.01 DECIPHERING THE STOCHASTIC KINETICS OF GENE REGULATION

2019-07-07 00:32:24 0

 北京大学定量生物学中心

 


学术报告

题 目:  DECIPHERING THE STOCHASTIC KINETICS OF GENE REGULATION

报告人: Ido Golding, Associate Professor

Baylor College of Medicine

The Center for Theoretical Biological Physics, Rice University

时 间:2016-6-1(周三),13:00-14:00

地 点:北京大学老化学楼东配楼一层101报告厅

主持人:齐志 研究员

  

摘 要:

Gene activity is the prime mover in the living cell, driving a cell’s function at any given time. I will report on recent advances in our ability to describe the stochastic kinetics of gene regulation, achieved through the combination of single-molecule fluorescence microscopy in individual cells, novel image analysis algorithms, and theoretical modeling. We apply our approach to explore gene regulation in a number of model organisms representing a gradation of complexity: E. coli bacteria, Drosophila embryos and mouse embryonic stem cells. brought to bear on complex social phenomena, provide tractable and quantitative understanding about how humans make decisions about one another.

 

报告人简介:

 

Ido Golding is Associate Professor in Biochemistry and Molecular Biology at the Baylor College of Medicine and the Center for Theoretical Biological Physics at Rice University. He was trained as a theoretical condensed-matter physicist and later spent five years learning the experimental arsenal of modern molecular biology.

The goal of his lab is to form a quantitative narrative for fundamental processes in the living cell. This narrative will be built upon precise measurements performed in individual cells, at the level of individual molecules and discrete events in space and time. To achieve this resolution, they are using a synthesis of approaches: classical molecular biology and biochemistry; single-cell and single-molecule fluorescence microscopy; and advanced image- and data analysis algorithms. By using simple, coarse-grained theoretical models, they try to distill their experimental findings into general principles, which can then be tested across different biological systems.