Systems-wide analyses typically necessitate multi-dimensional datasets, which is oftentimes challenging to obtain.  In many contemporary strategies, concentrating on only one or a handful of molecular targets limits the utility of the information for disgnostic and predictive purposes. Guided by the paradigm of systems biology, we have developed structural mass spectrometry technologies for the characterization of complex biological systems in for temporal and spatial dimensions. In parallel with these strategies, we have also developed new bioinformatics/biostatistical workflows to allow experiments to begin in an untargeted coarse grain hypothesis and funnel into increasingly targeted fine grain information. The report will describe advances made in both temporal and spatial metabolomics for cell culture and intact tissue in areas ranging from cancer biology and parasitology to drug discovery and pathogen exposure.

Strucutral mass spectrometry strategies in systems, synthetic, and chemical biology

245th National Meeting (2013)

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