Jay Kirkwod, Ph.D., received his PhD in Medicinal Chemistry from Oregon State University in 2013. The focus of his thesis was the development and broad biological application of both targeted and untargeted LC-MS based metabolomics platforms. He is currently a post-doctoral scientist at Colorado State University where his research is focused on the development and implementation of targeted, quantitative small molecule assays using triple quadrupole mass spectrometry. A highlight of Jay's current research is the development of a HILIC based LC-MS based method for the quantitative, kinetic flux profiling of various polar small molecules belonging to a diverse set of metabolic pathways.

The Flux Capacitor: Using Skyline for efficient processing of LC-MS/MS metabolic flux data

With the recent understanding that metabolic flux is often fundamentally altered with common disease states, there is now great interest in developing LC-MS based methods for the analysis of metabolic flux in living systems. Read More
Dependent on molecular formula, the fragment ion, and the isotopically labeled precursor, multiple SRM transitions are required to monitor for all the potential labeling patterns for a given metabolite (i.e. 36 transitions for argininosuccinate in our method). As SRM number increases in the MS method, so does the burden associated with data processing. The open source software Skyline-daily was used to efficiently process metabolic flux profiling data for several hundred transitions corresponding to ~ 40 metabolites from various metabolic pathways. Method application is illustrated by kinetic flux profiling of liver cells infected with the Dengue virus, using U-13C-glucose as the labeled precursor.