"Metabolomics" resources

Metabolomics presents challenges from sample introduction to the analytical methods used, and the data reduction required to interpret the results. No single analytical technique can be used for complete characterization of the metabolome, and no metabolome has ever been completely characterized. Despite these challenges, LECO’s just-in-time derivatizer coupled with the Gas Chromatography Mass Spectrometers (GC-MS) provides an established method to introduce samples into the GC-MS and analyze the primary metabolome, whereas other techniques simply investigate the secondary and tertiary metabolites. One of the principal challenges in metabolomics is the detection and identification of unknowns; you need to know what else is in your sample to successfully characterize it, and our GC-MS solutions give you a clear advantage. Our solutions have a robust automated derivatization and sample introductory method, separation, accuracy, resolving power, deconvolution, and speed to characterize the most complex metabolite profiles.
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203-821-422 Liver disease affects more than 800 million people worldwide causing at least 1.5 million deaths annually. Mice provided a reliable model for detection of polychlorinated biphenyls associated with non-alcoholic fatty liver disease.
This curated compilation of articles and papers illustrates how Time-of-Flight Mass Spectrometry is advancing metabolomics research. Laboratories around the world use the Pegasus series of mass spectrometers to help their data soar.
Copresenters Renee Cataneo & Mayur Mundada [Menssana Research Inc.] discuss data obtained through GCxGC TOF-MS analysis of breath samples. Originally presented 20 September 2012.
JP-BA14-LPSS-157 Breath volatomes were analyzed via GCxGC-TOFMS to demonstrate possible future of metabolomic studies.