RESEARCH OVERVIEW
RESEARCH OVERVIEW
Research interests in the laboratory focus on translational chemical biology using a cutting edge metabolomics-based systems biology approach for metabolic biomarker discovery
Research interests in the laboratory focus on translational chemical biology using a cutting edge metabolomics-based systems biology approach for metabolic biomarker discovery
Metabolomics, the comprehensive analysis of all the detectable metabolites found within a biological sample, promises the potential for early diagnosis, monitoring response to therapy, and defining disease pathogenesis. By performing global metabolite profiling, new discoveries linking cellular pathways to biological mechanisms are being revealed and shaping our understanding of cell biology, physiology, and medicine.
Metabolomics, the comprehensive analysis of all the detectable metabolites found within a biological sample, promises the potential for early diagnosis, monitoring response to therapy, and defining disease pathogenesis. By performing global metabolite profiling, new discoveries linking cellular pathways to biological mechanisms are being revealed and shaping our understanding of cell biology, physiology, and medicine.
Profiling of the metabolome is challenging due to the intrinsic heterogeneity of the compounds involved. Moreover, the combined use of high-resolution magnetic resonance spectroscopy and mass spectroscopy platforms allows us to identify and quantify hundreds/thousands of metabolites from cell lines and primary specimens. Therefore, the lab is constantly engaged in developing and optimizing data acquisition and analysis methodologies as well as data mining procedures.
Profiling of the metabolome is challenging due to the intrinsic heterogeneity of the compounds involved. Moreover, the combined use of high-resolution magnetic resonance spectroscopy and mass spectroscopy platforms allows us to identify and quantify hundreds/thousands of metabolites from cell lines and primary specimens. Therefore, the lab is constantly engaged in developing and optimizing data acquisition and analysis methodologies as well as data mining procedures.
