Workshop Details
Frontiers in Metabolomics
07/30/2018 - 08/03/2018
Meeting Description:

Metabolomics is a rapidly evolving field that studies the metabolic make up of a living system in relationship to its phenotype. The two primary analytical techniques used are nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS), which provide both qualitative and quantitative high- resolution information concerning the metabolites present in a cell, tissue or biofluid. Rapid progress is also being made in the application of both methods to complex mixtures. The high complementarity of data acquired by NMR and MS often complicates the comparison of their results. The purpose of this workshop is to bring together experts who use NMR, MS, or both, to discuss recent successes and challenges in their metabolomics research.

Expanded narrative:
In recent years, metabolomics (sometimes also called metabonomics) has made great strides in the analysis of complex metabolite molecular mixtures encountered in many different areas of the life sciences ranging from food to biomedicine. Many powerful applications have emerged for rapid screening, biomarker identification, diagnostics, and the identification of biochemical pathways and their fluxes. In the human body alone, it has been estimated that more than 150,000 different metabolites exist, most of which are still unknown. There is a clear need for the development of new tools for the identification of unknowns and their assignment to new biochemical pathways.

The two main analytical techniques in metabolomics are mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. Both techniques are very powerful on their own, but in the past their high complementarity has impeded their synergistic use. As a consequence, and due to cost and expertise needed to run these instruments, many research labs predominantly use one of the techniques over the other. When both techniques are used, they are often applied independently rather than as a hyphenated system, and comparison of the results can be inconclusive.

This TSRC workshop has the goal to bring together leading scientists in both NMR- and MS-based metabolomics to spur constructive discussions about current successes and challenges of both MS and NMR. Particularly how to optimize the integration of these two methods to produce new and better science. We also invite speakers who are at the forefront of metabolomics applications to inspire new metabolomics tools in terms of sample preparation, quality control, hardware, software, databases, and reproducibility.

Relationship to molecular sciences:
Metabolites are small biomolecules with a molecular weight < 1500 Da and provide a functional readout of the biochemistry of a cell. Metabolomics can be considered as the ultimate challenge in the analysis of complex mixtures containing hundreds of different metabolites. The analysis of these mixtures requires a combination of analytical-chemical techniques (MS, NMR, chromatography), spectral databases, and computational tools, including empirical and high-level quantum-chemical computations.


If you are interested in attending a meeting, but have not received an invitation, please contact the workshop organizer about availability before registering. Most TSRC meetings are very small, typically only about 25 people.

Meeting Venue:

Telluride Intermediate School
725 West Colorado Ave Telluride, CO 81435

Frontiers in Metabolomics Registered Meeting Participants:
Participant Organization
Baker, Erin Pacific Northwest National Laboratory
Broeckling, Corey Colorado State University
Clish, Clary B. Broad Institute of MIT and Harvard
Ebbels, Timothy Imperial College London
Guenther, Ulrich University of Birmingham
Kopec, Rachel E. The Ohio State University
Lewis, Ian University of Calgary
Markley, John University of Wisconsin-Madison
Mathe, Ewy Ohio State University
Powers, Robert University of Nebraska-Lincoln
Raftery, Daniel University of Washington
Rattray, Nicholas JW Yale University
Want, Elizabeth Imperial College London
Wishart, David Scott University of Alberta
Wolfender, Jean-Luc University of Geneva

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