时间：8月29日星期二16:00-17:30

Time：4:00-5:30 PM，Tuesday, August 29，2023

主持人：西湖大学生命科学学院PI 陈子博

    Host：Dr. Zibo Chen, PI of School of Life Sciences

    地点：云谷校区E9-109

    Venue：E9-109, Yungu Campus

主讲嘉宾/Speaker:

Dr. Chunbo Lou, Professor, Shenzhen Institutes of Advanced Technology, CAS

Dr. Chunbo Lou, Professor. Selected by the "Youth Thousand Talents", “Outstanding Youth Science Fund of the National Science Foundation of China. In 2009, he graduated from the Department of Physics of Peking University, obtained PhD degree. From 2009 to 2013, he successively Engaged in postdoctoral research at the University of California, San Francisco (UCSF) and the Massachusetts Institute of Technology (MIT). He joined the Institute of Microbiology, Chinese Academy of Sciences in 2013, and Moved to the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences in 2019. His study focused on the design principle of synthetic biology and genetic circuits, and developed several design principles based on the insulation, orthogonalization and modularization. He have been published in more than 40 SCI papers, including Nature, Nature Biotechnology, PNAS, Molecular Systems Biology, Nature Communications, Nucleic Acids Research, ACS Synthetic Biology, and applied more than 10 patents.

讲座摘要/Abstract:

Context-dependency of mammalian transcriptional elements has hindered the quantitative investigation of multigene expression stoichiometry and its biological functions. Here, we describe a context-independent orthogonal transcription system to gradually fine-tune single and multiple gene expression with predictable stoichiometries. The context-independent mammalian transcription system is composed of a library of orthogonal promoters from bacteriophage and its cognate RNA polymerase (RNAP) fused to a capping enzyme. The relative expression of single genes was quantitatively determined by the relative binding affinity of the RNAP to the promoters, while multigene expression stoichiometry was predicted by a simple biophysical model with resource competition. We used the orthogonal promoters to predictably tune the expression of three components of an influenza A virus like particle (VLP). Optimized stoichiometry led to a 2-fold yield of intact VLP complex. The context-independent transcription system provides a new platform for dose-dependent control of multiple protein expression for advanced vaccine engineering, cell-fate programming and other therapeutic applications.

联系人/Contact：

生命科学学院

于文越 yuwenyue@westlake.edu.cn