Evidence that 2-hydroxyglutarate is not readily metabolized in colorectal carcinoma cells
© Gelman et al. 2015
Received: 21 August 2015
Accepted: 9 November 2015
Published: 1 December 2015
Two-hydroxyglutarate (2HG) is present at low concentrations in healthy mammalian cells as both an L and D enantiomer. Both the L and D enantiomers have been implicated in regulating cellular physiology by mechanisms that are only partially characterized. In multiple human cancers, the D enantiomer accumulates due to gain-of-function mutations in the enzyme isocitrate dehydrogenase (IDH) and has been hypothesized to drive malignancy through mechanisms that remain incompletely understood. While much attention has been dedicated to identifying the route of 2HG synthesis, the metabolic fate of 2HG has not been studied in detail. Yet the metabolism of 2HG may have important mechanistic consequences influencing cell function and cancer pathogenesis, such as modulating redox potential or producing unknown products with unique modes of action.
By applying our isotope-based metabolomic platform, we unbiasedly and comprehensively screened for products of L- and D-2HG in HCT116 colorectal carcinoma cells harboring a mutation in IDH1. After incubating HCT116 cells in uniformly 13C-labeled 2HG for 24 h, we used liquid chromatography/mass spectrometry to track the labeled carbons in small molecules. Strikingly, we did not identify any products of 2HG metabolism from the thousands of metabolomic features that we screened. Consistent with these results, we did not detect any significant changes in the labeling patterns of tricarboxylic acid cycle metabolites from wild type or IDH1 mutant cells cultured in 13C-labeled glucose upon the addition of L, D, or racemic mixtures of 2HG. A more sensitive, targeted analysis revealed trace levels of isotopic enrichment (<1 %) in some central carbon metabolites from 13C-labeled 2HG. However, we found that cells do not deplete 2HG from the media at levels above our detection limit over a 48 h time period.
Taken together, we conclude that 2HG carbon is not readily transformed in the HCT116 cell line. These data indicate that the phenotypic alterations induced by 2HG are not a result of its metabolic products.
Keywords2-Hydroxyglutarate Cancer metabolism Mass spectrometry Metabolomics Isotope-based metabolomics 13C-tracing
Two-hydroxyglutarate (2HG) is an endogenous metabolite that can occur naturally as either the L-(S)-enantiomer or the D-(R)-enantiomer . Both enantiomers occur at low concentrations in healthy, mammalian cells and can be detected in patient biofluids . The metabolic pathways responsible for producing low concentrations of 2HG in healthy cells remain incompletely characterized, but promiscuous utilization of alpha-ketoglutarate by phosphoglycerate dehydrogenase, lactate dehydrogenase A, and malate dehydrogenase has been implicated [3–5]. Production of low levels of 2HG in healthy cells has thus been hypothesized to be a result of unwanted side reactions, although recent evidence suggests that 2HG in healthy cells may have some regulatory functions [5–7].
It is thought that when small amounts of 2HG are produced in healthy cells, the 2HG is metabolized by L-2HG dehydrogenase or D-2HG dehydrogenase . These 2HG dehydrogenases transform 2HG into alpha-ketoglutarate and have been referred to as a type of “house-cleaning enzyme.” Indeed, defects in either dehydrogenase lead to rare inborn errors of metabolism in which pathological levels of 2HG accumulate. More recently, the observation was made that D-2HG also accumulates in cancer cells which harbor gain-of-function mutations in isocitrate dehydrogenase (IDH) 1 and 2 . It has now been shown that D-2HG producing IDH1 and IDH2 mutations occur in many glioma, acute myeloid leukemia, chondrosarcoma, cholangiocarcinoma, and T cell angioimmunoblastic lymphoma cancers . Interestingly, D-2HG accumulates in these cancers despite the presence of a presumably functional D-2HG dehydrogenase.
Increased concentrations of L-2HG and D-2HG both lead to altered cellular phenotypes . D-2HG is sometimes referred to as an “oncometabolite” because its accumulation is thought to contribute to cancer pathogenesis . Most important to the current study, we note that the mechanisms by which L-2HG and D-2HG regulate cellular physiology are not well understood. While increased L-2HG and D-2HG both have been shown to inhibit alpha-ketoglutarate-dependent dioxygenase enzymes that modify chromatin, it has also been suggested that D-2HG drives cancer pathogenesis by other non-epigenetic mechanisms that have yet to be characterized [5, 12–16]. Additionally, the proposed epigenetic mechanisms alone do not adequately address the context dependency and dose specificity of accumulated 2HG on cellular physiology .
To better understand the mechanisms by which elevated 2HG influences cellular physiology, the objective of this work was to explore the possibility that 2HG is transformed into unexpected products. By applying cutting-edge metabolomic technologies, thousands of small molecules can be quantitatively assessed . Some of these small molecules correspond to unknown metabolites that have not been characterized with respect to structure, pathway, and biochemical function [18, 19]. Given that products of 2HG may have metabolic effects themselves, mapping 2HG metabolism is an important advance in understanding 2HG biology. In addition to tracking 2HG carbon into potentially unexpected metabolites, we also sought to assess the transformation of 2HG into the tricarboxylic acid (TCA) cycle via alpha-ketoglutarate as we speculated that this reaction could regulate cellular phenotype by modulating redox potential. Notably, in the HCT116 colorectal carcinoma cells that we studied here, we did not find evidence of significant L-2HG or D-2HG metabolism over a 48 h time course.
All liquid chromatography solvents and additives were obtained from Sigma-Aldrich (St. Louis, MO), as well as all chemicals needed for the synthesis of 2HG. Stable isotope-labeled alpha-ketoglutarate was purchased from Cambridge Isotope Laboratories (Tewksbury, MA). Cell culture media and reagents were purchased from Life Technologies (Grand Island, NY), and IDH1 (R132H/+) cells were purchased from Horizon Discovery Ltd. (Cambridge, UK). An enzyme-linked immunosorbent assay (ELISA) kit for measuring D-2HG dehydrogenase was purchased from Cloud Clone Corp. (Houston, TX).
Racemic uniformly 13C-labeled 2HG (U-13C 2HG) was synthesized by reducing one equivalent of U-13C-labeled alpha-ketoglutarate with three equivalents of sodium borohydride in water. The alpha-ketoglutarate was first dissolved in water and cooled to 0 °C in an ice bath, then sodium borohydride was slowly added as a solid over approximately 10 min. The mixture was warmed to room temperature and stirred for 2 h, then quenched with an equal volume of 1 M HCl, and dried via rotary evaporation under reduced pressure. To remove excess borates, the resulting solid was suspended in high performance liquid chromatography (HPLC) grade methanol, filtered, concentrated to dryness, and stored at −20 °C. The structure and purity of synthetic U-13C 2HG was confirmed by 1H-NMR and LC/MS/MS. Trace amounts of fully labeled starting material were detected by LC/MS/MS. These were present at >1000-fold lower levels than U-13C 2HG and were too low in concentration to be detected by 1H-NMR.
Wild type HCT116 and HCT116 R132H/+ cells were cultured in McCoy’s 5A Modified Medium with 10 % fetal bovine serum (FBS) and no antibiotics, at 37 °C with 5 % CO2. For uniformly 13C-labeled glucose (U-13C glucose) experiments, cells were grown in glucose-free DMEM supplemented with either 25 mM U-13C glucose or 25 mM non-labeled glucose. Cells were seeded in a 10-cm plate at a density of approximately 2 × 106 cells in 10 mL of media.
An ELISA experiment was performed to test for the presence of D-2HG dehydrogenase in HCT116 R132H/+ cells. HeLa cells, which have been reported to have D-2HG dehydrogenase, were used as a reference control . Samples were prepared by centrifuging trypsinized cells, re-suspending in ice-cold phosphate buffered saline (PBS), and centrifuging again. The final cell pellet was re-suspended in 1 mL of ice-cold PBS and subjected to three repeated freeze-thaw cycles to break apart cellular components. After the final thaw, the sample was centrifuged and the supernatant was collected for analysis.
HCT116 R132H/+ cells were plated 24 h prior to being administered U-13C 2HG. After 24 h, cells were grown in media supplemented with 10 % of 50 mM U-13C 2HG in PBS or 10 % of 50 mM non-labeled 2HG in PBS (yielding a final concentration of 5 mM 2HG) and harvested after a total of 48 h. When harvesting, medium was first aspirated then flash frozen in liquid nitrogen. Cells were washed with PBS three times, then HPLC grade water once, and quenched with 1 mL of ice-cold HPLC grade methanol. Cells were then scraped from the plate in methanol, pelleted, and dried via SpeedVac and lyophilization. The dry samples were weighed and normalized by dry mass. Samples were extracted by methods as we have described previously [21, 22]. Briefly, lyophilized cell pellets were re-suspended in methanol/acetonitrile/water (2:2:1) at 1 mL of solvent per 1 mg dry cell mass. After extraction, supernatants were dried on a SpeedVac and re-suspended in acetonitrile/water (1:1). The final solvent volume was normalized on the basis of dry mass, with a ratio of 100 μL per 1 mg dry cell mass.
Measuring 2HG dilution of 13C-glucose labeling
HCT116 parent cells and HCT116 R132H/+ cells were plated 36 h prior to being administered exogenous non-labeled 2HG and U-13C glucose. After 36 h, cells were grown in media supplemented with 10 % FBS and 25 mM of either U-13C glucose or non-labeled glucose. At this time, cells were treated with either (i) 10 % of 25 mM L- or D-2HG, (ii) 10 % of 50 mM L- or D-2HG, or (iii) 10 % of 50 mM L- and D-2HG. Cells were then harvested after a labeling period of 12 h and extracted as described above.
Liquid chromatography/mass spectrometry
Following extraction, 5 μL of each sample was injected onto a Luna Aminopropyl column (3 μm, 150 mm × 1.0 mm I.D., Phenomenex, Torrance, CA) connected to an Agilent 1260 capillary HPLC system (Santa Clara, CA) set to a flow rate of 50 μL/min. Mobile phase A consisted of 95 % water, 5 % acetonitrile (ACN), 20 mM ammonium hydroxide, and 20 mM ammonium acetate. Mobile phase B consisted of 95 % ACN and 5 % water. The column was kept at room temperature while the following linear gradients were applied: 0–5 min, 100 % B; 5–45 min, 100–0 % B; 45–50 min, 0 % B; 50–51 min, 0–100 % B; and 51–60 min, 100 % B. MS detection was performed by using an Agilent 6540 Q-TOF with an electrospray ionization (ESI) source and Agilent Jet Stream technology, mass range 50–1700 m/z. The following source parameters were used: drying gas temperature 300 °C, drying gas flow 9 L/min, nebulizer pressure 35 psi, sheath gas temperature 350 °C, sheath gas flow 11 L/min, capillary voltage 3000 V, and nozzle voltage 1000 V. A fragmentor voltage of 175 V was applied. Conventional liquid chromatography/mass spectrometry (LC/MS)-based metabolomic analyses were performed in negative ionization mode only. After introduction of labeled 2HG to cells, metabolites were extracted and profiled to identify possible 2HG products in both negative and positive ionization modes. Metabolite identifications were confirmed by comparing experimental retention time and fragmentation data to model standards. With the methods applied, citrate and isocitrate could not be resolved.
For improved sensitivity, we also performed targeted analysis of some key metabolites (alpha-ketoglutarate, fumarate, malate, and citrate) and evaluated isotopic enrichment manually. Targeted analyses were performed by injecting 3 μL of sample onto a Luna Aminopropyl column (same as described above) connected to a Dionex UltiMate 3000 UHPLC system, set to a flow rate of 50 μL/min with the same gradient as stated above. MS detection was performed with a Thermo Scientific Q Exactive Plus bench-top quadrupole-Orbitrap mass spectrometer in negative ionization mode at 140,000 resolving power by using selected ion monitoring (SIM).
Quantification of 2HG and glutamine was performed on an Agilent 6490 triple quadrupole instrument in negative ion mode, using multiple reaction monitoring (MRM). Sample aliquots of 0.3 μL were injected onto an Acquity UPLC BEH Amide column (1.7 μm, 2.1 × 50 mm I.D., Waters Corporation, Milford MA) connected to an Agilent 1290 Infinity UHPLC system set to a flow rate of 0.6 mL/min. Mobile phase A consisted of 50 % water, 50 % ACN, 0.4 % ammonium hydroxide, and 10 mM ammonium acetate. Mobile phase B consisted of 95 % ACN and 5 % water. The following linear gradient was applied: 0–1.0 min, 85 % B; 1.0–1.35 min, 60 % B; 1.35–1.4 min, 50 % B; 1.4–1.8 min, 50 % B; 1.8–3.0 min, 75 % B; and 3.0–6.0 min, 100 % B. The following source parameters were used: drying gas temperature 125 °C, drying gas flow 13 L/min, nebulizer pressure 55 psi, sheath gas temperature 400 °C, sheath gas flow 12 L/min, capillary voltage 2000 V, and nozzle voltage 0 V. For 2HG, the quantifier ion transition m/z 147.0 → 129.0 and the qualifier 147.0 → 101.0 were used with a fragmentor voltage of 100 V, a collision energy of 10 V, and a cell accelerator voltage of 3 V. For glutamine, the quantifier ion transition m/z 145.0 → 127.0 and the qualifier 145.0 → 109.0 were used with a fragmentor voltage of 120 V, a collision energy of 10 V, and a cell accelerator voltage of 3 V.
Measuring 2HG consumption rate from media
HCT116 (parent) cells were plated in 3 mM unlabeled D-2HG and cultured for 48 h. LC/MS analysis was used to measure 2HG and glutamine in the media at 0, 24, and 48 h. The concentration of 2HG and glutamine was quantified at all time points using a standard curve to determine the rate of consumption. This was compared to plates containing only media (no cells) to account for non-cellular degradation occurring over the given time period. For this assay, we ignored intracellular contributions of 2HG and glutamine as they were negligible compared to the levels of 2HG and glutamine in the media. Media samples were extracted as described above.
Raw data was converted to mzXML by using msconvert and then analyzed with the XCMS software (peakwidth = 5–140 s and ppm = 12) . For isotope analysis, our in-house X13CMS software package was utilized and isotopic labeling patterns were identified with the following parameters: mass of 12C = 12.000000 Da, mass difference between 13C and 12C = 1.003355 Da, ppm = 20, RTwindow = 10 s, and noiseCutoff = 8000 ion counts . Some key metabolites (e.g., the TCA cycle intermediates) were also inspected manually.
All experiments were performed in replicates of three (n = 3 per group). Each labeling experiment was performed in parallel with pairs of equivalent non-labeled cultures. Samples were evaluated with a Student’s paired t test, with acceptable p values being less than 0.05.
Global metabolomic comparison of IDH1 mutant cells to wild type controls
Unbiased metabolomic screening identifies no products of 2HG metabolism
These data suggest that neither L-2HG nor D-2HG are significantly metabolized over 24 h in colorectal cancer cells. As a positive control to demonstrate that our platform can effectively identify molecular transformations, we next fed the same colorectal carcinoma cells either U-13C glutamine or non-labeled glutamine for 24 h. We then isolated the metabolites, analyzed them by LC/MS, and used our X13CMS software to compare the labeled and non-labeled glutamine sample groups. In contrast to the 2HG experiments, we identified hundreds of metabolomic features that were altered between cells given labeled and non-labeled glutamine (Fig. 3b). The majority of these alterations had retention times unique from glutamine and corresponded to metabolites produced from glutamine carbon by cellular metabolism. As expected, one metabolite we identified as a product of glutamine was 2HG. Further analysis of glutamine transformation is beyond the scope of the current study, but the data can be viewed at the NIH metabolomics workbench or on our laboratory website (http://goo.gl/W4rbu1).
Targeted screening of predicted 2HG products shows trace levels of enrichment
The enzyme D-2HG dehydrogenase converts D-2HG into alpha-ketoglutarate. Given that our unbiased metabolomic screen did not reveal any 2HG transformations, we wanted to validate that D-2HG dehydrogenase was present in our HCT116 R132H/+ cells. We confirmed the presence of D-2HG dehydrogenase by ELISA (Fig. 4b). The level of D-2HG dehydrogenase we measured in HCT116 R132H/+ cells was 4.7 ± 0.96 ng/mL, which was comparable to the value we measured in HeLa cells where D-2HG dehydrogenase has been previously reported .
To assess the possibility that D-2HG dehydrogenase converts labeled 2HG into labeled alpha-ketoglutarate at a concentration below the limit of detection of our global profiling platform, we performed a targeted LC/MS-based experiment and evaluated isotopic enrichment manually. Compared to global profiling analyses, targeted SIM experiments have improved sensitivity and therefore are able to better detect low levels of isotopic enrichment. We found that alpha-ketoglutarate was enriched in HCT116 R132H/+ cells given U-13C 2HG by approximately 1 % (Fig. 4c). We detected alpha-ketoglutarate with five 13C labels (0.9 %) and three 13C labels (0.1 %). The latter labeling pattern results from 2HG-derived alpha-ketoglutarate after one turn of the TCA cycle. We also detected trace amounts of labeling (<0.5 %) in other TCA cycle metabolites such as citrate/isocitrate and glutamine (Fig. 4d–e). We should point out that we cannot dismiss the possibility that some (or all) of this labeling results from U-13C alpha-ketoglutarate in our U-13C 2HG stock solution (i.e., residual starting material after synthesis) or spontaneous, non-cellular degradation of U-13C 2HG. Nonetheless, these labeling results place a ~1 % upper limit on the contribution of labeled 2HG to TCA cycle carbon at 24 h.
Total accounting of net 2HG consumption from media
2HG and glutamine consumption in wild type HCT116 cells
Below detection of assaya
Below detection of assay
Exogenous 2HG does not influence TCA cycle labeling patterns from U-13C glucose
It is important to clarify that the experiments described above involving U-13C glucose were not designed to assess the metabolic effects of 2HG. Although the isotopic enrichment plots in Fig. 5 show no significant differences in the labeling of central carbon metabolites upon treatment with 2HG for 24 h, these data do not provide information on absolute fluxes or relative pool sizes. It is not our intent to suggest that metabolism is unaffected by 2HG.
L-2HG and D-2HG occur naturally at low concentrations (<100 μM) in healthy mammalian cells . In multiple cancers, the concentration of D-2HG increases substantially to mM levels as a result of gain-of-function mutations in IDH . It has been shown that alterations in either L-2HG or D-2HG concentrations can have important functional consequences [7, 9]. Accordingly, much attention has been devoted to elucidating the biochemical routes of 2HG synthesis. However, the metabolic fate of 2HG has not been investigated comprehensively. Yet the pathway of 2HG transformation plays a relevant role in modulating 2HG levels and was therefore the focus of the current work. Additionally, we wanted to explore the possibility that 2HG is transformed into metabolic products with unique biochemical activities contributing to 2HG-related phenotypes.
We performed several separate experiments indicating that 2HG is not readily metabolized in colorectal cancer cells, independent of whether the cells harbor the R132H-IDH1 mutation. First, we fed cells U-13C 2HG and monitored thousands of metabolomic features for 13C label incorporation. After 24 h, we observed no labeled features other than those arising from 2HG (Fig. 3a). A more sensitive targeted analysis revealed trace levels of isotopic enrichment in some central carbon metabolites (Fig. 4c–e). By monitoring 2HG consumption, however, we showed that these transformations do not represent a statistically significant percentage of 2HG carbon (Fig. 4f). In an independent experiment, we fed cells U-13C glucose and monitored the isotopic labeling of TCA cycle intermediates upon addition of L-2HG, D-2HG, or racemic mixtures of both. We observed no significant labeling differences in cells treated with 2HG, indicating that any 2HG inserted into the TCA cycle is below the sensitivity limit of this experiment (Fig. 5).
The subject of how elevated 2HG levels contribute to cellular transformation and tumorigenesis has been an area of intense interest. The mechanism that perhaps has been best supported thus far is epigenetic regulation by inhibition of alpha-ketoglutarate-dependent enzymes. Given the structural and chemical similarity of 2HG to alpha-ketoglutarate, L-2HG and D-2HG can competitively inhibit alpha-ketoglutarate-dependent dioxygenases that modify chromatin . These effects have been associated with alterations in growth and cellular differentiation . This mechanism of 2HG-mediated epigenetic regulation is dependent upon the concentration of 2HG and has been well correlated with rates of 2HG synthesis [11, 15]. Our results are consistent with this model.
Another possible mechanism of 2HG action that has not been explored to date is that a downstream product of 2HG, possibly a previously uncharacterized metabolite, has unique biochemical activity. Our results do not support this model. By using untargeted metabolomic technologies, we screened over 25,000 features as potential 2HG products and obtained no leads. It may be possible that 2HG is metabolized to a compound not detected by LC/MS (e.g., macromolecules, low-concentration metabolites, etc.). However, we have shown previously that our metabolomic platform has broad coverage (for both polar and non-polar molecules) and high sensitivity for detecting metabolites with structures similar to 2HG as would be anticipated for the products of interest [21, 29]. Moreover, after 48 h, we have shown that there is no statistically significant consumption of 2HG above our assay detection limit of ~1 fmol/cell/h (Fig. 4e).
It is important to emphasize that our results are from only a single colorectal carcinoma cell line. Although we do not see evidence that 2HG is readily transformed here, such pathways may exist in other cell lines or cell types. Additionally, given that 2HG can be imported and exported from cells, it is also possible that 2HG produced from the tumors of whole animals is ultimately cleared from the organism even when the cancer cells producing 2HG cannot metabolize it.
Intracellular concentrations of L-2HG and D-2HG are known to regulate cellular physiology by mechanisms that are incompletely understood. Critical to understanding how 2HG concentrations are controlled is the elucidation of pathways of 2HG synthesis and pathways of 2HG transformation. While the former has been investigated extensively, here we provide the first comprehensive assessment of the latter. Our results indicate that L-2HG and D-2HG are not readily metabolized in HCT116 colorectal carcinoma cells. Future work will explore the metabolism of 2HG in other cell types and culture conditions.
GJP received financial support for this work from the National Institutes of Health Grants R01 ES022181 and L30 AG0 038036, as well as the Alfred P. Sloan Foundation, the Camille & Henry Dreyfus Foundation, and the Pew Scholars Program in the Biomedical Sciences.
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- Gregersen N, Ingerslev J, Rasmussen K. Low molecular weight organic acids in the urine of the newborn. Acta Paediatr Scand. 1977;66(1):85–9.View ArticlePubMedGoogle Scholar
- Wanders RJ, Mooyer P. D-2-hydroxyglutaric acidaemia: identification of a new enzyme, D-2-hydroxyglutarate dehydrogenase, localized in mitochondria. J Inherit Metab Dis. 1995;18(2):194–6.View ArticlePubMedGoogle Scholar
- Fan J, Teng X, Liu L, Mattaini KR, Looper RE, Vander Heiden MG et al. Human phosphoglycerate dehydrogenase produces the oncometabolite D-2-hydroxyglutarate. ACS Chem Biol. 2015;10(2):510-6. doi:https://doi.org/10.1021/cb500683c.PubMed CentralView ArticlePubMedGoogle Scholar
- Rzem R, Vincent MF, Van Schaftingen E, Veiga-da-Cunha M. L-2-hydroxyglutaric aciduria, a defect of metabolite repair. J Inherit Metab Dis. 2007;30(5):681-9. doi:https://doi.org/10.1007/s10545-007-0487-0.View ArticlePubMedGoogle Scholar
- Intlekofer AM, Dematteo RG, Venneti S, Finley LW, Lu C, Judkins AR et al. Hypoxia Induces Production of L-2-Hydroxyglutarate. Cell Metab. 2015;22(2):304-11. doi:https://doi.org/10.1016/j.cmet.2015.06.023.View ArticlePubMedGoogle Scholar
- Van Schaftingen E, Rzem R, Marbaix A, Collard F, Veiga-da-Cunha M, Linster CL. Metabolite proofreading, a neglected aspect of intermediary metabolism. J Inherit Metab Dis. 2013;36(3):427-34. doi:https://doi.org/10.1007/s10545-012-9571-1.View ArticlePubMedGoogle Scholar
- Oldham WM, Clish CB, Yang Y, Loscalzo J. Hypoxia-Mediated Increases in l-2-hydroxyglutarate Coordinate the Metabolic Response to Reductive Stress. Cell Metab. 2015;22(2):291-303. doi:https://doi.org/10.1016/j.cmet.2015.06.021.View ArticlePubMedGoogle Scholar
- Kranendijk M, Struys EA, Salomons GS, Van der Knaap MS, Jakobs C. Progress in understanding 2-hydroxyglutaric acidurias. J Inherit Metab Dis. 2012;35(4):571-87. doi:https://doi.org/10.1007/s10545-012-9462-5.PubMed CentralView ArticlePubMedGoogle Scholar
- Dang L, White DW, Gross S, Bennett BD, Bittinger MA, Driggers EM et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate. Nature. 2009;462(7274):739-44. doi:10.1038/nature08617.PubMed CentralView ArticlePubMedGoogle Scholar
- Ward PS, Lu C, Cross JR, Abdel-Wahab O, Levine RL, Schwartz GK et al. The potential for isocitrate dehydrogenase mutations to produce 2-hydroxyglutarate depends on allele specificity and subcellular compartmentalization. J Biol Chem. 2013;288(6):3804-15. doi:https://doi.org/10.1074/jbc.M112.435495.PubMed CentralView ArticlePubMedGoogle Scholar
- Yang M, Soga T, Pollard PJ. Oncometabolites: linking altered metabolism with cancer. J Clin Invest. 2013;123(9):3652-8. doi:https://doi.org/10.1172/jci67228.PubMed CentralView ArticlePubMedGoogle Scholar
- Lu C, Ward PS, Kapoor GS, Rohle D, Turcan S, Abdel-Wahab O et al. IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature. 2012;483(7390):474-8. doi:https://doi.org/10.1038/nature10860.PubMed CentralView ArticlePubMedGoogle Scholar
- Losman JA, Kaelin WG, Jr. What a difference a hydroxyl makes: mutant IDH, (R)-2-hydroxyglutarate, and cancer. Genes Dev. 2013;27(8):836-52. doi:https://doi.org/10.1101/gad.217406.113.PubMed CentralView ArticlePubMedGoogle Scholar
- Rohle D, Popovici-Muller J, Palaskas N, Turcan S, Grommes C, Campos C et al. An inhibitor of mutant IDH1 delays growth and promotes differentiation of glioma cells. Science. 2013;340(6132):626-30. doi:https://doi.org/10.1126/science.1236062.PubMed CentralView ArticlePubMedGoogle Scholar
- Chowdhury R, Yeoh KK, Tian YM, Hillringhaus L, Bagg EA, Rose NR et al. The oncometabolite 2-hydroxyglutarate inhibits histone lysine demethylases. EMBO Rep. 2011;12(5):463-9. doi:https://doi.org/10.1038/embor.2011.43.PubMed CentralView ArticlePubMedGoogle Scholar
- Kolker S, Pawlak V, Ahlemeyer B, Okun JG, Horster F, Mayatepek E et al. NMDA receptor activation and respiratory chain complex V inhibition contribute to neurodegeneration in d-2-hydroxyglutaric aciduria. Eur J Neurosci. 2002;16(1):21–8.View ArticlePubMedGoogle Scholar
- Patti GJ, Yanes O, Siuzdak G. Innovation: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol. 2012;13(4):263-9. doi:https://doi.org/10.1038/nrm3314.PubMed CentralView ArticlePubMedGoogle Scholar
- Mahieu NG, Huang X, Chen YJ, Patti GJ. Credentialed Features: A Platform to Benchmark and Optimize Untargeted Metabolomic Methods. Anal Chem. 2014. doi:https://doi.org/10.1021/ac503092d.PubMed CentralGoogle Scholar
- Zamboni N, Saghatelian A, Patti GJ. Defining the metabolome: size, flux, and regulation. Mol Cell. 2015;58(4):699-706. doi:https://doi.org/10.1016/j.molcel.2015.04.021.View ArticlePubMedGoogle Scholar
- Uhlen M, Bjorling E, Agaton C, Szigyarto CA, Amini B, Andersen E et al. A human protein atlas for normal and cancer tissues based on antibody proteomics. Mol Cell Proteomics. 2005;4(12):1920-32. doi:https://doi.org/10.1074/mcp.M500279-MCP200.View ArticlePubMedGoogle Scholar
- Ivanisevic J, Zhu ZJ, Plate L, Tautenhahn R, Chen S, O'Brien PJ et al. Toward 'omic scale metabolite profiling: a dual separation-mass spectrometry approach for coverage of lipid and central carbon metabolism. Anal Chem. 2013;85(14):6876-84. doi:https://doi.org/10.1021/ac401140h.PubMed CentralView ArticlePubMedGoogle Scholar
- Chen YJ, Huang X, Mahieu NG, Cho K, Schaefer J, Patti GJ. Differential Incorporation of Glucose into Biomass during Warburg Metabolism. Biochemistry. 2014;53(29):4755-7. doi:https://doi.org/10.1021/bi500763u.PubMed CentralView ArticlePubMedGoogle Scholar
- Tautenhahn R, Patti GJ, Rinehart D, Siuzdak G. XCMS Online: A Web-Based Platform to Process Untargeted Metabolomic Data. Anal Chem. 2012;84(11):5035-9. doi:https://doi.org/10.1021/ac300698c.PubMed CentralView ArticlePubMedGoogle Scholar
- Huang X, Chen YJ, Cho K, Nikolskiy I, Crawford PA, Patti GJ. X(13)CMS: Global Tracking of Isotopic Labels in Untargeted Metabolomics. Anal Chem. 2014;86(3):1632-9. doi:https://doi.org/10.1021/ac403384n.PubMed CentralView ArticlePubMedGoogle Scholar
- Mahieu NG, Spalding J, Patti GJ. Warpgroup: Increased Precision of Metabolomic Data Processing by Consensus Integration Bound Analysis. Bioinformatics. 2015. doi:https://doi.org/10.1093/bioinformatics/btv564.
- Cotter DG, Ercal B, Huang X, Leid JM, d'Avignon DA, Graham MJ et al. Ketogenesis prevents diet-induced fatty liver injury and hyperglycemia. J Clin Invest. 2014. doi:https://doi.org/10.1172/jci76388.PubMed CentralPubMedGoogle Scholar
- Cho K, Mahieu NG, Ivanisevic J, Uritboonthai W, Chen YJ, Siuzdak G et al. isoMETLIN: A Database for Isotope-Based Metabolomics. Anal Chem. 2014. doi:https://doi.org/10.1021/ac5029177.
- Kuhl C, Tautenhahn R, Bottcher C, Larson TR, Neumann S. CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets. Anal Chem. 2012;84(1):283-9. doi:https://doi.org/10.1021/ac202450g.PubMed CentralView ArticlePubMedGoogle Scholar
- Yanes O, Tautenhahn R, Patti GJ, Siuzdak G. Expanding coverage of the metabolome for global metabolite profiling. Anal Chem. 2011;83(6):2152-61. doi:https://doi.org/10.1021/ac102981k.PubMed CentralView ArticlePubMedGoogle Scholar