Metabolomics is the comprehensive profiling of the small molecule composition of a biological sample. Since metabolites are often the indirect products of gene expression, this approach is being used to provide new insights into a variety of biological systems (clinical, bioenergy, etc.). A grand challenge for metabolomics is the complexity of the data, which often include many experimental artifacts. This is compounded by the tremendous chemical diversity of metabolites. Identification of each uncharacterized metabolite is in many ways its own puzzle (compared with proteomics, which is based on predictable fragmentation patterns of polypeptides). Therefore, effective data reduction/prioritization strategies are critical for this rapidly developing field. Here we review liquid chromatography electrospray ionization mass spectrometry (LC/MS)-based metabolomics, methods for feature finding/prioritization, approaches for identifying unknown metabolites, and construction of method specific 'Metabolite Atlases'.(J Am Soc Mass Spectrom 2010, 21, 1471-1476) © 2010 Published by Elsevier Inc. on behalf of American Society for Mass Spectrometry N ature utilizes a tremendous diversity of metabolites, and it is estimated that there are Ͼ200,000 plant metabolites alone [1]. Metabolomics is a rapidly growing field for studying the small molecule composition of a biological system. Liquid chromatography coupled to electrospray ionization mass spectrometry (LC/MS) is becoming a method of choice for profiling metabolites in complex biological samples. This is due to its ability to effectively ionize a breath of metabolites with minimal fragmentation (versus gas chromatography-mass spectroscopy (GC/MS), robustness, and ability to scale-up to support tandem mass spectrometry based structural studies (versus capillary electrophoresis-mass spectrometry (CE-MS)) [2]. However, known metabolites are typically a small portion of the data obtained in a LC/MS metabolomics experiment (ϳ10%) [3] where the bulk are MS-artifacts and uncharacterized metabolites.Identification of unknown metabolites is cost and effort intensive, often requiring preparative scale isolation for nuclear magnetic resonance (NMR) studies or extensive chemical synthesis to enable structural comparisons using tandem mass spectrometry (MS/MS) [4]. Therefore, it is not surprising that the majority of reports focus on changes in metabolites that have authentic standards or at a minimum are found in metabolite databases. Yet, there are only a few thousand commercially available analytical standards due to lack of demand and the inherent instability of many metabolites. These standards and the endogenous metabolites contained in databases represent only a portion of endogenous metabolites. Therefore, effective methods for prioritizing, studying, and ultimately identifying uncharacterized metabolites is a critical development for LC/MS based metabolomics [5][6][7][8][9][10]. Here we discuss current LC/MS metabolomic approaches (detailed elsewhere [2,4,11,12]) and their inte...