12月1日学术报告:代谢组学研究技术

    时间:12月1日下午2:30
    地点:实验楼报告厅
    报告人:Dr. Theodore R. Sana
            Senior Scientist Metabolomics Applications Group
            Agilent Technologies, Inc.
            5301 Stevens Creek Blvd
            Santa Clara 95051, California, USA
            Tel: 01-408-5532939
            Email: theodore_sana@agilent.com
    联系人:漆小泉研究员(xqi@ibcas.ac.cn)

    Dr. Theodore Sana joined Agilent Technologies, Inc. in 2000. He is presently a senior research scientist at Agilent Technologies. Since 2007 he has been working on developing metabolomics applications for LC/MS and GC/MS platforms for this newly formed business. Prior to working in the metabolomics applications group, he spent three years at Agilent Labs developing intact protein and metabolomics separations for plasma using multidimensional LC and mass spectrometry workflows. And prior to that he spent four years working in the R&D group helping to develop novel content and test the Agilent In Situ synthesized oligonucleotide microarray platform, for which he has a couple of issued patents. Between the years 1998-2000 he was an Associate Principal Scientist in the Functional Genomics department at DNAX Research Institute (Schering-Plough Biopharma), Palo Alto, California. His work focused on discovery and elucidation of function of novel cytokines and chemokines and their receptors in different tissues, using RT-PCR, microarrays, cellular assays and computational tools to decipher structure and function. From 1995-1998, he was a post-doctoral fellow in the laboratories of Dr. Fernando Bazan and Dr. Rob Kastelein, where he used computational methods to identify and subsequently clone novel Interleukin-1 like cytokines and receptors. He has received a couple of patents for this work. Theodore obtained his Ph.D. in molecular Pharmacology of Interleukin-2 and it's receptors from Dartmouth Medical School in 1995. He is interested in using his experience in transcriptomics, proteomics and metabolomics to help advance integrated applications (solutions, software and hardware) for systems biology that can help facilitate the testing of hypothetical metabolic models that will ultimately drive a comprehensive mathematical description of metabolism.

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