Prof.Jian Xu

Issuing time:2021-09-17 22:08

Jian Xu.jpg


Name:

Jian   Xu

Title:

Professor and Director, Single-Cell Center

Affiliation:

Qingdao Institute of BioEnergy and   Bioprocess Technology, Chinese Academy of Sciences

Email:

xujian@qibebt.ac.cn

100-word   biography:

Jian XU obtained B.S in Biotechnology   from Peking University in 1997, and M.S. in Computer Science and PhD in   Biochemistry (with Jeffrey Gordon) from Washington University in St. Louis in   2003. He joined CAS-QIBEBT in 2008 and founded Single-Cell Center in 2014. He   and his colleagues proposed the Ramanome concept, invented CAST-R, FlowRACS,   RACS-Seq and EasySort, and developed synthetic biology tools for industrial   microalgae and microbiome. Jian has published over 140 papers that collected over   12,000 citations (H-index 52). He is a senior editor of mSystems. His contribution was recognized by a number of awards   from NSFC, MOST and CAS, including National Distinguished Young Scholars   Award (2014), National Young-Scientist Award for Science and   Technology (2016) and VCANBIO Award for Biosciences and Medicine (2016).

Title:

Ramanome, FlowRACS and RACS-Seq: linking single-cell metabolic phenome   and genome for synthetic biology and precision medicine

Abstract:

“Test” of   cellular metabolic function, one of the three technological pillars of   Synthetic Biology (the other two are “Design” and “Build”), underlies nearly   every aspect of life sciences and biotechnology industry. A single-cell is   the unit of function and evolution for life forms on Earth, therefore establishing   the link between metabolic phenome and genome (and transcriptome, etc) is of   fundamental importance. We have proposed “Ramanome” as a type of single-cell   metabolic phenome that is non-invasive, label-free, information-rich,   ultrafast, high-throughput, low-cost and universally applicable. Then the   IRCA (Intra-Ramanome Correlation Analysis) algorithm was introduced, which unveils   a network of metabolite conversion based on a single instance of a single   sample. Furthermore, we invented a series of Raman-activated Cell Sorters,   such as RACS-Seq and FlowRACS, to sort and sequence individual human, algal,   fungal and bacterial cells with targeted metabolic phenome via their   single-cell Raman spectra. The advantages of RACS-Seq and FlowRACS as   compared to FACS (Fluorescence-activated Cell Sorting) have been demonstrated   in screening novel enzymes and cell factories, and for distinguishing and   sorting individual drug-resistance cells (cancers and pathogens). As   metabolic phenome directly captures the “function” of a cell, ramanome and   FlowRACS/RACS-Seq have become powerful new tools for synthetic biology and   precision medicine.

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