Department of Chemistry and Biochemistry Seminar
- Friday, February 10, 2017 from 3:10pm to 4:00pm
- Chemistry and Biochemistry Building - view map
Dr. Daniel Raftery from the University of Washington will present "New Methods in Metabolomics and Applications to Colon Cancer."
The high complexity inherent in biological samples provides a challenging analysis problem for the field of metabolomics, especially for NMR. Ideally, broad metabolome coverage provides the opportunity for deep insights into biological problems, while excellent quantitation allows high reproducibility, improved modeling capabilities, and an ability to compare across studies. However, these goals are difficult to achieve on a routine basis because the highly complex sample matrix often precludes reliable measurements of many metabolites and complicates quantitation efforts. As a result, many researchers including us are increasingly using MS for metabolomics studies. However, NMR has an inherent advantage in quantitation. We have evaluated a simple protein precipitation procedure that allows the absolute quantitation of over 70 blood metabolites using a single standard compound. These metabolites, including some at even sub-micromolar concentrations, span a broad range of classes and pathways, including organic and amino acids, as well as energy metabolites and co-enzymes.
In the second part of the talk I will discuss the biomarker discovery process in the context of colon cancer diagnosis using conventional and novel targeted MS approaches. We are also investigating an alternative statistical approach called “seemingly unrelated regression” or SUR, which was originally derived over 50 years ago in the context of econometrics. Here, we use SUR to model metabolite levels based on the (large) effects of various clinical and environmental factors. The results have several important implications for biomarker efforts going forward. The application of the new methods for biomarker discovery for colon cancer will also be discussed. Such efforts promise to broaden the capabilities of NMR based metabolomics.
- Department of Chemistry and Biochemistry