JUN 29, 2018 8:00 AM PDT

Quantitation and profiling metabolomics and translation to clinical analysis

Sponsored by: Agilent
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Associate Professor, University of Florida
    Biography
      After graduating in 2006, Tim Garrett accepted a Research Assistant Professorship at the University of Florida in the Department of Medicine where he began research on targeted quantitation for clinical research and diagnostics using mass spectrometry. In 2014, he transitioned to an Assistant Professor in the Department of Pathology, Immunology, and Laboratory Medicine at the University of Florida continuing his work to translate mass spectrometry to clinical areas. As a clinical member of Pathology, he worked on the development of several new clinical assays utilizing mass spectrometry that are currently used in clinical toxicology. He is currently an Associate Professor in the Department of Pathology, where he is also the Director of high throughput metabolomics, for the Southeast Center for Integrated Metabolomics and conducts research in the application of metabolomics to disease diagnosis and clinical diagnostics.

    Abstract

    DATE: June 29, 2018

    TIME: 8:00AM PDT

    Measurement of these metabolites represents the digital readout of health.  A key aspect of metabolomics is the utilization of high resolution mass spectrometric approaches to detect and identify metabolites from biological fluids and tissues.  The use of multi-analyte analyses as well as high resolution mass spectrometric approaches has the potential to transform clinical diagnostics for the next generation. This presentation will discuss profiling and quantitative metabolomics techniques such as traditional LC-MS based approaches and new methods that utilize direction analysis approaches.

    Learning Objectives:

    • Demonstrate the use of multianalyte metabolomic panels in clinical research
    • Discuss the application of high resolution mass spectrometry approaches to metabolomics
    • Understand the utilization of bioinformatic tools for interpreting results. 

     

     

     

     

    For Research Use Only. Not for use in diagnostic procedures.


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