We have developed and applied state of the art metabolomics technology and have expertise in cancer biology, nutrition, and molecular physiology. The laboratory has a unique combination of instrumentation, expertise in analytical chemistry, computational modeling and software development capabilities. This skill-set is combined with our experience in metabolic pathway regulation to allow us to generate knowledge of metabolism and metabolic pathway regulation.
We have an interest in disseminating these capabilities to advance our understanding of metabolism. We often work within a collaboration model where we offer our metabolomics expertise with some expectation to share the cost of research. Please feel free to contact us for further information.
Cell Metabolism (2016)
Nature Cell Biology (2016)
Cell Reports (2016)
Cell Metabolism (2015)
Cell Reports (2016)
Metabolite profiling has been indispensable in the study of metabolism in health and disease. Many current platforms have different limiting factors, such as labor intensive sample preparation, low sensitivity, slow scan speeds which limits quantitation, intensive method optimization for each metabolite, and the inability to measure both positively and negatively charged ions in single experiments.
We have developed several strategies for rapid, sensitive, quantitative and large scale metabolomics by utilizing amide-based hydrophilic chromatography for polar metabolites and high resolution mass spectrometry and a general cold methanol extraction method.
Trends in Biochemical Sciences (2017)
Molecular & Cellular Proteomics (2015)
Analytical Biochemistry (2015)
Analytical Chemistry 86 (2014)
Journal of Visualized Experiments 87 (2014)
Isotope Tracing and Flux Analysis
Our mass spectrometry approaches are combined with stable isotope labeling of cells and animals to provide information about the flow of nutrients in metabolic pathways. These experiments allow one to study the phenotypic endpoint of metabolism – metabolic flux.
Metabolic Engineering (2016)
Cell Reports (2014)
PloS Computational Biology (2014)
Locasale Research Group 2016