image   Metabolomics and IROA

The science of metabolomis or metabolic profiling has quickly emerged, escalated by improvements in analytical instumentation with enhanced sensitivity and resolution of the small biochemical molecules. There are approximately 2000-3000 endogenous metabolites in the human body.  As we understand it today, the vast majority of metabolites in an organism are tightly regulated; there are various mechanisms that participate in the control of metabolic homeostasis.  Metabolites are dynamically altered with phsiological and environmental change and the characterization of an organism's metabolome offers a unique way to address a variety of important biological questions related to the effects of stressors.  Researchers are increasingly using metabolomics to study disease identification and prognosis, toxicology, the evaluation of pre-clinical drugs, functional genomics, human nutrition, plant biology and aspects of applied biotechnology.

Like SILAC, IROA utilizes full metabolic labeling to distinguish between two cell populations but uses both 5% 13C (experimental samples) and 95% 13C (control samples) to label all biochemical compounds and remove artifacts/noise thereby generating an Internal Standard for every metabolite measured.  

The IROA ClusterFinder™ software tool characterizes peaks (artifacts, control, experimental), removes artifacts, calculates carbon number and molecular formula, quantitates the ratio of control to experimental, and normalizes the dataset. Access to the IROA portal for data interpretation and statistical analysis ensures you have meaning to your metabolomics data.

Do you have samples that are impractical to label or cannot be labeled? The IROA Phenotypic approach applies a complex labeled Internal Standard in which to measure against the metabolites in your sample.