Our lab uses genetically modified mouse models and a combination of cell biology, molecular biology, and biochemistry techniques to study the role of altered mitochondrial dysfunction and metabolism in human diseases. A primary analytical tool of the group is metabolomics, which enables the parallel quantification of hundreds of small molecule metabolites. The team also uses computational approaches to integrate datasets from multi-dimensional analyses, including metabolomics, proteomics, and transcriptomics, with the aim to model aging-related disorders and to generate mechanistic hypotheses that will be cross validated experimentally.
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