Classification and biomarker identification of prostate tissue from TRAMP mice with hyperpolarized C-SIRA.

Hyperpolarized C isotope resolved spectroscopy boosts NMR signal intensity, which improves signal detection and allows metabolic fluxes to be analyzed. Such hyperpolarized flux data may offer new approaches to tissue classification and biomarker identification that could be translated in vivo. Here we used hyperpolarized stable isotope resolved analysis (SIRA) to measure metabolite specific C isotopic enrichments in the central carbon metabolism of mouse prostate.

Stable isotope resolved metabolomics classification of prostate cancer cells using hyperpolarized NMR data.

Metabolic fingerprinting is a strong tool for characterization of biological phenotypes. Classification with machine learning is a critical component in the discrimination of molecular determinants. Cellular activity can be traced using stable isotope labelling of metabolites from which information on cellular pathways may be obtained.

Stable Isotope-Resolved Analysis with Quantitative Dissolution Dynamic Nuclear Polarization.

Metabolite profiles and their isotopomer distributions can be studied noninvasively in complex mixtures with NMR. The advent of dissolution Dynamic Nuclear Polarization (dDNP) and isotope enrichment add sensitivity and resolution to such metabolic studies. Metabolic pathways and networks can be mapped and quantified if protocols that control and exploit the ex situ signal enhancement are created.