Metabolomics and IROA
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. This has the advantage over traditional methods that use no label or use heavy (99%) and light (unlabelled, natural abundance).
The IROA ClusterFinder™ software tool characterizes peaks (artifacts, control, experimental), removes artifacts, performs peak correlation analysis to associate adducts with their fragments (new for ClusterFinder2.0), 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.