Publication / Source: Bioanalysis 4(18)
Authors: Goeddel CL, Patti JG
“Untargeted metabolomic data are exceedingly rich in information and, consequently, researchers typically focus on only a small subset of the results. The remaining un-mined portions of the data are, therefore, often greatly underutilized and traditional publication formats limit the ability of other laboratories to effectively perform data analysis.”
In recent years there has been a resurgence of interest in metabolism and increasing excitement about the phenotypic insights that can be gleaned by monitoring metabolite levels in biological systems [1,2]. Promoting these trends has been the emergence of metabolomics as a widely used platform to profile metabolites in research specimens. With new advances in metabolomic technologies, particularly those related to MS, metabolites can be measured from minimal amounts of sample with high-throughput and unprecedented sensitivity.