Metabolomics approaches provide an analysis of changing metabolite levels in biological samples. In the past decade, technical advances have spurred the application of metabolomics in a variety of diverse research areas spanning basic, biomedical, and clinical sciences. In particular, improvements in instrumentation, data analysis software, and the development of metabolite databases have accelerated the measurement and identification of metabolites. Metabolomics approaches have been applied to a number of important problems, which include the discovery of biomarkers as well as mechanistic studies aimed at discovering metabolites or metabolic pathways that regulate cellular and physiological processes. By providing access to a portion of biomolecular space not covered by other profiling approaches (e.g., proteomics and genomics), metabolomics offers unique insights into small molecule regulation and signaling in biology. In the following review, we look at the integration of metabolomics approaches in different areas of basic and biomedical research, and try to point out the areas in which these approaches have enriched our understanding of cellular and physiological biology, especially within the context of pathways linked to disease.
Pathogenic microbes employ a variety of methods to overcome host defenses, including the production and dispersal of molecules that are toxic to their hosts. Pseudomonas aeruginosa, a Gram-negative bacterium, is a pathogen of a diverse variety of hosts including mammals and the nematode Caenorhabditis elegans. In this study, we identify three small molecules in the phenazine class that are produced by P. aeruginosa strain PA14 that are toxic to C. elegans. We demonstrate that 1-hydroxyphenazine, phenazine-1-carboxylic acid, and pyocyanin are capable of killing nematodes in a matter of hours. 1-hydroxyphenazine is toxic over a wide pH range, whereas the toxicities of phenazine-1-carboxylic acid and pyocyanin are pH-dependent at non-overlapping pH ranges. We found that acidification of the growth medium by PA14 activates the toxicity of phenazine-1-carboxylic acid, which is the primary toxic agent towards C. elegans in our assay. Pyocyanin is not toxic under acidic conditions and 1-hydroxyphenazine is produced at concentrations too low to kill C. elegans. These results suggest a role for phenazine-1-carboxylic acid in mammalian pathogenesis because PA14 mutants deficient in phenazine production have been shown to be defective in pathogenesis in mice. More generally, these data demonstrate how diversity within a class of metabolites could affect bacterial toxicity in different environmental niches.
Along with genes and proteins, metabolites play important roles in sustaining life. Their functions include "primary" functions in metabolism and energy storage, as well as "secondary" functions in cell-to-cell signaling, metal acquisition, and virulence. There remains much to be learned about the in vivo roles of metabolites. Approaches that accelerate measurement of metabolite levels directly from cells and tissues should increase our understanding of the diverse roles of metabolites and potentially lead to discovery of novel metabolites and metabolic pathways. Metabolomics is an important comparative tool to study global metabolite levels in samples under various conditions. In this unit, the steps needed to perform a mass spectrometry (MS)--based untargeted metabolomics experiment using bacterial supernatants are detailed. In contrast to a targeted metabolomics experiment, which measures ions from known metabolites, an untargeted metabolomics experiment registers all ions within a certain mass range, including ions belonging to structurally novel metabolites. The protocols in this unit describe the conditions necessary for analyzing hydrophobic metabolites and provide an example of how to structurally characterize a novel metabolite.
Neuron-derived clone 77 (Nur77) is an orphan nuclear receptor with currently no known natural ligands. Here, we apply a metabolomics platform for detecting protein-metabolite interactions (PMIs) to identify lipids that bind to Nur77. Using this approach, we discovered that the Nur77 ligand-binding domain (Nur77LBD) could enrich unsaturated fatty acids (UFAs) from tissue lipid mixtures. The interaction between Nur77 with arachidonic acid and docosahexaenoic acid was subsequently characterized using a number of biophysical and biochemical assays. Together these data indicate that UFAs bind to Nur77LBD to cause changes in the conformation and oligomerization of the receptor. UFAs are the only endogenous lipids reported to bind Nur77, which highlights the use of metabolomics in the discovery of novel PMIs.
Using the pyochelin (pch) gene cluster as an example, we demonstrate the utility of untargeted metabolomics in the discovery and characterization of secondary metabolites regulated by biosynthetic gene clusters. Comparison of the extracellular metabolomes of pch gene cluster mutants to the wild-type Pseudomonas aeruginosa (strain PA 14) identified 198 ions regulated by the pch genes. In addition to known metabolites, we characterized the structure of a pair of novel metabolites regulated by the pch gene cluster as 2-alkyl-4,5-dihydrothiazole-4-carboxylates (ATCs), using a combination of mass spectrometry, chemical synthesis, and stable isotope labeling. Subsequent assays revealed that ATCs bind iron and are regulated by iron levels in the media in a similar fashion as other metabolites associated with the pch gene cluster. Further genetic complementation and overexpression analyses of the pch genes revealed ATC production to be dependent on the pchE gene in the pch gene cluster. Overall, these studies highlight the ability of untargeted metabolomics to reveal regulatory connections between gene clusters and secondary metabolites, including novel metabolites.
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