Lc/MS-based Metabolite Profiling and Its Applications in Basic Biomedical Research
CEN Webinars: Stronger Bonds
Lc/MS-based Metabolite Profiling and
Its Applications in Basic Biomedical Research
Tuesday October 7th 2014
8:00a.m. PDT / 11:00a.m. EDT / 16:00 BST
Elizaveta Freinkman, Ph.D.,
Research Scientist and Manager,
Metabolite Profiling Core Facility
Whitehead Institute for Biomedical Research
Jeff Huber,
Associate Editor,
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Small molecules play a key role in biological phenomena as diverse as cancer, aging, and microbial pathogenesis. Among the analytical tools available for measuring these metabolites, liquid chromatography–mass spectrometry (LC/MS) is the most widely used due to its versatility and dynamic range. Achieving sensitive and reliable LC/MS-based metabolomic measurements requires sample preparation methods, chromatographic and mass spectrometric parameters, and strategies for data analysis and quality control that are suitable for both the metabolites and the biological question of interest. In this live webinar, I will provide a general overview of these technical aspects and describe the specific LC/MS platform currently in use at the Whitehead Institute Metabolite Profiling Core Facility. I will include several examples of studies performed at our facility, addressing specific experimental challenges as well as the biological insights that were gained through the successful application of metabolite profiling.


- Characterize in general the basic elements of a successful LC/MS-based metabolomic analysis, including sample preparation, metabolite ID & quantitation, and quality control

- Describe specific instrumental and data analysis methods whereby these goals are typically accomplished at the Whitehead Institute's Metabolite Profiling Core Facility

- Give brief examples of metabolomic analysis in the context of a biological study

  • • Researchers who wish to familiarize themselves with fundamental elements and challenges of LC/MS-based metabolomic analysis
  • • Researchers interested in getting started with performing their own LC/MS-based metabolite profiling experiments
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