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Events

Global Metabolomics: from Innovation to Integration

WHEN: 
Wednesday, 2018, June 20 - 10:00
SPONSOR: 
School of Chemistry and Materials Science, Nanjing Normal University
SPEAKER(s): 
Tao Huan
DETAILS: 

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Tao Huan

Tao Huan is now Assistant Professor at University of British Columbia (UBC). In 2010, he graduated from Zhejiang University as a undergraduate student, and after 5 years he obtained Ph.D from University of Alberta, Canada. During 2015-2018, he went on his study at the Scripps Research Institute as a postdoctoral fellow. His main research interests focus on analysis technology development of mass spectrometry and the relevant bioinformatics software development, as well as utilizing metabolomics technology to study health and disease-related life and medical issues. Prof. Huan has published nearly 30 papers in worldwide famous journals like Nature Methods, Nature Protocols, Cell reports, Cell Chemical Biology, Analytical Chemistry.

Introduction of the Lecture:

Global metabolomics is an emerging field in postgenomic biology that correlates the comprehensive analysis of small molecules in biological systems with phenotypes and biological processes. Over the past 15 years, there have been many innovative developments in analytical strategies and informatics, making it possible to integrate metabolomic analysis with orthogonal omics (i.e. genomics, transcriptomics, proteomics) to garner systems-level information on the biological function of metabolites. This seminar will focus on current progresses in analytical technologies and bioinformatics that address the challenges in global metabolomics, including metabolomic data processing and metabolite identification. Advancing from innovation to integration, a recently developed metabolomics-guided systems biology platform will be introduced, which can provide a mechanistic understanding of metabolomic data through multi-omic integration aimed at identifying dysregulated metabolic pathways. To illustrate the importance of integrative metabolomic analysis in deciphering biological causality, a specific case study in cancer metabolism, on identifying aberrant metabolic pathways involved in colon cancer progression, will be discussed.