Mutations in the enzyme cytosolic isocitrate dehydrogenase 1 (IDH1) are a common feature of a major subset of primary human brain cancers. These mutations occur at a single amino acid residue of the IDH1 active site, resulting in loss of the enzyme's ability to catalyse conversion of isocitrate to alpha-ketoglutarate. However, only a single copy of the gene is mutated in tumours, raising the possibility that the mutations do not result in a simple loss of function. Here we show that cancer-associated IDH1 mutations result in a new ability of the enzyme to catalyse the NADPH-dependent reduction of alpha-ketoglutarate to R(-)-2-hydroxyglutarate (2HG). Structural studies demonstrate that when arginine 132 is mutated to histidine, residues in the active site are shifted to produce structural changes consistent with reduced oxidative decarboxylation of isocitrate and acquisition of the ability to convert alpha-ketoglutarate to 2HG. Excess accumulation of 2HG has been shown to lead to an elevated risk of malignant brain tumours in patients with inborn errors of 2HG metabolism. Similarly, in human malignant gliomas harbouring IDH1 mutations, we find markedly elevated levels of 2HG. These data demonstrate that the IDH1 mutations result in production of the onco-metabolite 2HG, and indicate that the excess 2HG which accumulates in vivo contributes to the formation and malignant progression of gliomas.

/pdf/cancer-associated-idh1-mutations-produce-2-hydroxyglutarate-3hnshr7hh1.pdf

Cancer-associated IDH1 mutations produce 2-hydroxyglutarate

Metabolites, the chemical entities that are transformed during metabolism, provide a functional readout of cellular biochemistry. With emerging technologies in mass spectrometry, thousands of metabolites can now be quantitatively measured from minimal amounts of biological material, which has thereby enabled systems-level analyses. By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanism are being revealed and are shaping our understanding of cell biology, physiology and medicine.

/pdf/innovation-metabolomics-the-apogee-of-the-omics-trilogy-1juzx59cd9.pdf

Innovation: Metabolomics: the apogee of the omics trilogy

‡We describe the use of singular value decomposition in transforming genome-wide expression data from genes 3 arrays space to reduced diagonalized ‘‘eigengenes’’ 3 ‘‘eigenarrays’’ space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or arrays). Normalizing the data by filtering out the eigengenes (and eigenarrays) that are inferred to represent noise or experimental artifacts enables meaningful comparison of the expression of different genes across different arrays in different experiments. Sorting the data according to the eigengenes and eigenarrays gives a global picture of the dynamics of gene expression, in which individual genes and arrays appear to be classified into groups of similar regulation and function, or similar cellular state and biological phenotype, respectively. After normalization and sorting, the significant eigengenes and eigenarrays can be associated with observed genome-wide effects of regulators, or with measured samples, in which these regulators are overactive or underactive, respectively.

Singular Value Decomposition for Genome-Wide Expression Data Processing and Modeling

The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutarate

Absolute metabolite concentrations are critical to a quantitative understanding of cellular metabolism, as concentrations impact both the free energies and rates of metabolic reactions. Here we use LC-MS/MS to quantify more than 100 metabolite concentrations in aerobic, exponentially growing Escherichia coli with glucose, glycerol or acetate as the carbon source. The total observed intracellular metabolite pool was approximately 300 mM. A small number of metabolites dominate the metabolome on a molar basis, with glutamate being the most abundant. Metabolite concentration exceeds K(m) for most substrate-enzyme pairs. An exception is lower glycolysis, where concentrations of intermediates are near the K(m) of their consuming enzymes and all reactions are near equilibrium. This may facilitate efficient flux reversibility given thermodynamic and osmotic constraints. The data and analyses presented here highlight the ability to identify organizing metabolic principles from systems-level absolute metabolite concentration data.

Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli

https://www.princeton.edu/~wlu/sunil-2006.pdf

Separation and quantitation of water soluble cellular metabolites by hydrophilic interaction chromatography-tandem mass spectrometry.

This protocol provides a method for quantitating the intracellular concentrations of endogenous metabolites in cultured cells The cells are grown in stable isotope-labeled media to near-complete isotopic enrichment and then extracted in organic solvent containing unlabeled internal standards in known concentrations The ratio of endogenous metabolite to internal standard in the extract is determined using mass spectrometry (MS) The product of this ratio and the unlabeled standard amount equals the amount of endogenous metabolite present in the cells The cellular concentration of the metabolite can then be calculated on the basis of intracellular volume of the extracted cells The protocol is exemplified using Escherichia coli and primary human fibroblasts fed uniformly with (13)C-labeled carbon sources, with detection of (13)C-assimilation by liquid chromatography-tandem MS It enables absolute quantitation of several dozen metabolites over approximately 1 week of work

/pdf/absolute-quantitation-of-intracellular-metabolite-3yq0dhmci6.pdf

Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach

Cellular metabolome analysis by chromatography-mass spectrometry (MS) requires prior metabolite extraction. We examined a diversity of solvent systems for extraction of water-soluble metabolites from Escherichia coli. Quantitative yields of approximately 100 different metabolites were measured by liquid chromatography-tandem MS and displayed in clustered heat map format. Many metabolites, including most amino acids and components of central carbon metabolism, were adequately extracted by a broad spectrum of solvent mixtures. For nucleotide triphosphates, however, mixtures of acidic (0.1 M formic acid-containing) acetonitrile/water (80:20) or acetonitrile/methanol/water (40:40:20) gave superior triphosphate yields. Experiments involving isotopic tracers revealed that the improved triphosphate yields in the acidic acetonitrile were in part due to reduced triphosphate decomposition, which is a major problem when extracting with other solvent systems such as methanol/water. We recommend acidic solvent mixtures containing acetonitrile for extraction of the E. coli metabolome.

Acidic Acetonitrile for Cellular Metabolome Extraction from Escherichia coli

We followed 68 cellular metabolites after carbon or nitrogen starvation of Escherichia coli and Saccharomyces cerevisiae, using a filter-culture methodology that allows exponential growth, nondisruptive nutrient removal, and fast quenching of metabolism. Dynamic concentration changes were measured by liquid chromatography–tandem mass spectrometry and viewed in clustered heat-map format. The major metabolic responses anticipated from metabolite-specific experiments in the literature were observed as well as a number of novel responses. When the data were analyzed by singular value decomposition, two dominant characteristic vectors were found, one corresponding to a generic starvation response and another to a nutrient-specific starvation response that is similar in both organisms. Together these captured a remarkable 72% of the metabolite concentration changes in the full data set. The responses described by the generic starvation response vector (42%) included, for example, depletion of most biosynthetic intermediates. The nutrient-specific vector (30%) included key responses such as increased phosphoenolpyruvate signaling glucose deprivation and increased α-ketoglutarate signaling ammonia deprivation. Metabolic similarity across organisms extends from the covalent reaction network of metabolism to include many elements of metabolome response to nutrient deprivation as well.

https://www.pnas.org/content/pnas/103/51/19302.full.pdf

Elizabeth Kimball

Papers

Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli

Separation and quantitation of water soluble cellular metabolites by hydrophilic interaction chromatography-tandem mass spectrometry.

Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach

Acidic Acetonitrile for Cellular Metabolome Extraction from Escherichia coli

Conservation of the metabolomic response to starvation across two divergent microbes