The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.
Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
Open accessAbstract
Acetyl coenzyme A (AcCoA) is the central biosynthetic precursor for fatty-acid synthesis and protein acetylation. In the conventional view of mammalian cell metabolism, AcCoA is primarily generated from glucose-derived pyruvate through the citrate shuttle and ATP citrate lyase in the cytosol. However, proliferating cells that exhibit aerobic glycolysis and those exposed to hypoxia convert glucose to lactate at near-stoichiometric levels, directing glucose carbon away from the tricarboxylic acid cycle and fatty-acid synthesis. Although glutamine is consumed at levels exceeding that required for nitrogen biosynthesis, the regulation and use of glutamine metabolism in hypoxic cells is not well understood. Here we show that human cells use reductive metabolism of α-ketoglutarate to synthesize AcCoA for lipid synthesis. This isocitrate dehydrogenase-1 (IDH1)-dependent pathway is active in most cell lines under normal culture conditions, but cells grown under hypoxia rely almost exclusively on the reductive carboxylation of glutamine-derived α-ketoglutarate for de novo lipogenesis. Furthermore, renal cell lines deficient in the von Hippel-Lindau tumour suppressor protein preferentially use reductive glutamine metabolism for lipid biosynthesis even at normal oxygen levels. These results identify a critical role for oxygen in regulating carbon use to produce AcCoA and support lipid synthesis in mammalian cells.
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In the citing paper
“Both HIF-1α and HIF-2α activation promotes the upregulation of the glutamine transporter, SLC38A2, which increases the dependency of cells to glutamine and correlates with poorer survival in patients with breast cancer [58]”
From The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation (2025) · cites this paper as [58]
Experimental — accuracy not yet measuredIn the citing paper
“Similarly, checkpoint kinase 1 (CHK1) inhibitors625–627 and glutaminase (GLS) inhibitors628–634 are also considered potential candidates for treating Myc-overexpressing cancers.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [631]
In the citing paper
“Citrate, generated by reductive carboxylation of α-KG, is especially crucial for lipid synthesis under low-oxygen conditions24,25.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [24]
In the citing paper
“and switch the fate of glutamine from the oxidative pathway into the reductive carboxylation pathway24.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [24]
In the citing paper
“In the context of constitutive HIF-2α stabilization75 or a defective mitochondrial electron transport chain76, glutamine-derived α-KG is reductively carboxylated through the consumption of NADPH by IDH2 to generate citrate.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [75]
In the citing paper
“Glutamine acts as an alternative fuel for fatty acid synthesis, supplying citrate via mitochondrial reductive carboxylation, especially under hypoxic conditions74,75.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [75]
In the citing paper
“Alternatively, proliferating cells under hypoxia have been reported to predominantly reductively carboxylate glutamine generated α-ketoglutarate through IDH 1/2 to generate M5 citrate (Figure 4A) (Metallo, 2012).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Metallo, 2012
In the citing paper
“Previous reports showed that reductive carboxylation is a critical pathway to support the growth of tumor cells under hypoxia (Metallo, 2012; Mullen, 2012).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Metallo, 2012
In the citing paper
“The upregulation of the reductive carboxylation pathway enhances cancer cells proliferation (Metallo, 2012; Mullen, 2012; Wise et al., 2011).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Metallo, 2012
In the citing paper
“For example, under conditions of hypoxia or impaired mitochondrial respiration, certain reactions of the TCA cycle reverse to support glutamine-dependent reductive carboxylation (92, 122, 123).”
From Regulation and function of the mammalian tricarboxylic acid cycle (2023) · cites this paper as [122]
In the citing paper
“In a process referred to as reductive carboxylation, a section of the TCA cycle reverses itself, converting α-ketoglutarate into citrate, which can be then used to generate a source of cytosolic acetyl-CoA (Metallo et al., 2012; Wise et al., 2011).”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Metallo et al., 2012
In the citing paper
“Citrate is generated by citrate synthase (CS) or through the reduction of α-ketoglutarate by isocitrate dehydrogenase (IDH).79–81”
From The multifaceted contributions of mitochondria to cellular metabolism (2018) · cites this paper as [79]
In the citing paper
“Citrate levels, however, were markedly decreased in Mpc1KD or Mpc2KD (Mpc1/2KD) cells, as this metabolite is generated predominantly from pyruvate-derived AcCoA under normal growth conditions (Metallo et al., 2012).”
From Regulation of Substrate Utilization by the Mitochondrial Pyruvate Carrier (2014) · cites this paper as Metallo et al., 2012
In the citing paper
“Glutamine can contribute carbon to fatty acid synthesis via reductive carboxylation or oxidative glutaminolysis.”
From Regulation of Substrate Utilization by the Mitochondrial Pyruvate Carrier (2014) · cites this paper as Metallo et al., 2012
In the citing paper
“The former pathway is highly active in cells proliferating under hypoxia or those with a compromised respiratory chain (Metallo et al., 2012; Mullen et al., 2012; Scott et al., 2011; Wise et al., 2011), while the latter pathway has been observed in B cell lymphoma (Le et al., 2012).”
From Regulation of Substrate Utilization by the Mitochondrial Pyruvate Carrier (2014) · cites this paper as Metallo et al., 2012
In the citing paper
“This switch to reductive versus oxidative metabolism of α-KG is regulated in part by HIF-1α (71, 72), although the exact mechanism by which HIF-1α does so remains unclear.”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [71]
In the citing paper
“Although oxidation of glutamine-derived α-KG in the TCA cycle serves as a minor source of lipogenic acetyl-CoA under normal growth conditions, α-KG can be converted to citrate through reductive carboxylation under conditions of stress such as hypoxia or mitochondrial dysfunction (70–72).”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [71]
In the citing paper
“The work from Metallo and colleagues (71) suggests that T cells can use reductive glutamine metabolism for fatty acid biosynthesis under hypoxic conditions.”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [71]
In the citing paper
“In place of oxidative metabolism of both glucose and glutamine, these cancers preferentially perform reductive and carboxylating biosynthetic reactions from glutamine carbon (Le et al., 2012; Metallo et al., 2012; Mullen et al., 2012; Wise et al., 2011).”
From Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate (2012) · cites this paper as Metallo et al., 2012
In the citing paper
“Recently three independent reports implicated IDH-dependent reductive carboxylation as playing a particularly important role in proliferating cells that exhibit decreased flux of glucose-derived pyruvate into the mitochondria. This occurs in hypoxic cells or in cells harboring defects in mitochondrial oxidative phosphorylation (Metallo et al., 2012; Mullen et al., 2012; Wise et al., 2011).”
From Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate (2012) · cites this paper as Metallo et al., 2012
In the citing paper
“tumor cells with mutations in the TCA cycle or ETC (Mullen et al., 2011), or with hypoxia-induced suppression of oxidative metabolism (Metallo et al., 2011; Scott et al., 2011; Wise et al., 2011) use reductive carboxylation of α-KG to produce citrate and other precursors during growth.”
From Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us? (2012) · cites this paper as Metallo et al., 2011
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Cites
Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex
Sarbassov, D. D., Guertin, D. A., Ali, S. M., & Sabatini, D. M. (2005) · Science · doi:10.1126/science.1106148 · Cited by 6,216
Jaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensing
Ivan, M., Kondo, K., Yang, H., Kim, W., Valiando, J., Ohh, M., Salic, A., Asara, J. M., Lane, W. S., & Kaelin Jr., W. G. (2001) · Science · doi:10.1126/science.1059817 · Cited by 4,735 · cited 1×
“The von Hippel–Lindau (VHL) tumour suppressor protein is frequently lost in renal cell carcinoma (RCC) and results in a state of ‘pseudohypoxia’ by activating HIF signallin”
BackgroundKim, J.-W., Tchernyshyov, I., Semenza, G. L., & Dang, C. V. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.02.002 · Cited by 3,905
T cell receptor antagonist peptides induce positive selection.
Hogquist, K., Jameson, S., Heath, W., Howard, J. L., Bevan, M., & Carbone, F. (1994) · Cell · doi:10.1016/0092-8674(94)90169-4 · Cited by 3,252
DeBerardinis, R. J., Mancuso, A., Daikhin, E., Nissim, I., Yudkoff, M., Wehrli, S., & Thompson, C. B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709747104 · Cited by 2,622
ATP-citrate lyase links cellular metabolism to histone acetylation
Wellen, K. E., Hatzivassiliou, G., Sachdeva, U. M., Bui, T. V., Cross, J. R., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1164097 · Cited by 2,298
HIF-1 mediates adaptation to hypoxia by actively downregulating mitochondrial oxygen consumption
Papandreou, I., Cairns, R. A., Fontana, L., Lim, A. L., & Denko, N. C. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.01.012 · Cited by 2,267
Gao, P., Tchernyshyov, I., Chang, T.-C., Lee, Y.-S., Kita, K., Ochi, T., Zeller, K. I., De Marzo, A. M., Van Eyk, J. E., Mendell, J. T., et al. (2009) · Nature · doi:10.1038/nature07823 · Cited by 2,124
Ward, P. S., Patel, J., Wise, D. R., Abdel-Wahab, O., Bennett, B. D., Coller, H. A., Cross, J. R., Fantin, V. R., Hedvat, C. V., Perl, A. E., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.01.020 · Cited by 2,020
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Ye, J., Gu, Y., Zhang, F., Zhao, Y., Yuan, Y., Hao, Z., Sheng, Y., Li, W. Y., Wakeham, A. C., Cairns, R. A., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1618605114 · Cited by 32
Helminthic dehydrogenase drives PGE2 and IL‐10 production in monocytes to potentiate Treg induction
Prodjinotho, U. F., Gres, V., Henkel, F. D. R., Lacorcia, M., Dandl, R., Haslbeck, M., Schmidt, V., Winkler, A. S., Sikasunge, C. S., Jakobsson, P., et al. (2022) · EMBO Reports · doi:10.15252/embr.202154096 · Cited by 32
Spatiotemporal Heterogeneity of De Novo Lipogenesis in Fixed and Living Single Cells
Shuster, S. O., Burke, M. J., & Davis, C. M. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.2c08812 · Cited by 31
Metabolomic biomarkers in liquid biopsy: accurate cancer diagnosis and prognosis monitoring
Wang, W., Zhen, S., Yu, P., Wang, L., & Zhang, Y. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1331215 · Cited by 35
The regulation of cell metabolism by hypoxia and hypercapnia
Reddan, B., & Cummins, E. P. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.108252 · Cited by 34
Palma, S. D., Leone, R., Grumati, P., Vasso, M., Polishchuk, R., Capitanio, D., Braghetta, P., Bernardi, P., Bonaldo, P., & Gelfi, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056716 · Cited by 35
Metabolic Reprogramming and Oncogenesis
Costa, A. S. H., & Frezza, C. (2017) · International review of cytology · doi:10.1016/bs.ircmb.2017.01.001 · Cited by 32
A systems approach reveals distinct metabolic strategies among the NCI-60 cancer cell lines
Aurich, M. K., Fleming, R. M. T., & Thiele, I. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005698 · Cited by 33
Metabolic Regulation in Mitochondria and Drug Resistance
Pan, Y., Cao, M., Liu, J., Yang, Q. K., Miao, X., Go, V. L. W., Lee, P. W. N., & Xiao, G. G. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-6674-0_11 · Cited by 33
Prostate Cancer Energetics and Biosynthesis
Lin, C., Salzillo, T. C., Bader, D. A., Wilkenfeld, S. R., Awad, D., Pulliam, T. L., Dutta, P., Pudakalakatti, S., Titus, M. A., McGuire, S. E., et al. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-32656-2_10 · Cited by 33
Salivary metabolomics for cancer detection
Sugimoto, M. (2020) · Expert Review of Proteomics · doi:10.1080/14789450.2020.1846524 · Cited by 33
Cardoso, H. J., Figueira, M. I., Vaz, C. V., Carvalho, T. M. A., Brás, L. A., Madureira, P. A., Oliveira, P. J., Sardão, V. A., & Socorro, S. (2021) · Cellular Oncology · doi:10.1007/s13402-020-00575-9 · Cited by 34
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Montero‐Calle, A., de Cedrón, M. G., Quijada‐Freire, A., Solís‐Fernández, G., López-Alonso, V., Espinosa‐Salinas, I., Peláez‐García, A., Fernández‐Aceñero, M. J., de Molina, A. R., & Barderas, R. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.903033 · Cited by 33
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Ricci, L., Stanley, F. U., Eberhart, T., Mainini, F., Sumpton, D. P., & Cardaci, S. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-05927-5 · Cited by 34
Dong, S., Li, W., Li, X., Wang, Z., Zhou, C., Shi, H., He, R., Chen, C., & Zhou, W. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1038650 · Cited by 33
Bezawork‐Geleta, A., Dimou, J., & Watt, M. J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1085034 · Cited by 31
Mallick, R., Bhowmik, P., & Duttaroy, A. K. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115591 · Cited by 35
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Solanki, S. A., & Shah, Y. M. (2023) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-051122-094743 · Cited by 34
Hypoxic adaptation of mitochondria and its impact on tumor cell function
Benej, M., Papandreou, I., & Denko, N. C. (2024) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2024.03.004 · Cited by 33
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Zarei, M., Hajihassani, O., Hue, J. J., Loftus, A. W., Graor, H. J., Nakazzi, F., Naji, P., Boutros, C. S., Uppin, V., Gohar, A. V., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-1895 · Cited by 34
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Glutamine, Glucose and other Fuels for Cancer
Ruiz-Pérez, M. V., Sánchez‐Jiménez, F., Alonso, F. J., Segura, J., Márquez, J., & Medina, M. Á. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990482 · Cited by 31
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Yang, X., Jiang, P., & Du, W. (2013) · Journal of Carcinogenesis · doi:10.4103/1477-3163.122760 · Cited by 32
Chen, D., Xia, S., Wang, M., Lin, R., Li, Y., Mao, H. Z., Aguiar, M., Famulare, C. A., Shih, A. H., Brennan, C., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-1040 · Cited by 34
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Crispo, F., Pietrafesa, M., Condelli, V., Maddalena, F., Bruno, G., Piscazzi, A., Sgambato, A., Esposito, F., & Landriscina, M. (2020) · Molecules · doi:10.3390/molecules25163754 · Cited by 32
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Jones, A. E., Li, S., Acevedo, A., Veliova, M., Shirihai, O. S., Stiles, L., & Divakaruni, A. S. (2020) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00235.2020 · Cited by 33
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Feng, L., Jin, Y., Pei, X., Guo, P., Dong, K., Wang, H., Chen, Y., Guo, P., Meng, L., & Wang, Z. (2021) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2021.107453 · Cited by 30
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Sheraj, I., Güray, T., & Banerjee, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-93003-3 · Cited by 31
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Minton, D. R., Fu, L., Chen, Q., Robinson, B. D., Gross, S. S., Nanus, D. M., & Gudas, L. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120649 · Cited by 31
Odia, Y., Orr, B. A., Bell, W. R., Eberhart, C. G., & Rodríguez, F. J. (2013) · Journal of Neuro-Oncology · doi:10.1007/s11060-013-1221-4 · Cited by 29
Kuo, C., Cheng, C.-T., Hou, P., Lin, Y.-P., Ma, H., Chung, Y., Chi, K. K., Chen, Y., Li, W., Kung, H.-J., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.8570 · Cited by 32
Valli, A., Morotti, M., Zois, C. E., Albers, P. K., Soga, T., Feldinger, K., Fischer, R., Frejno, M., McIntyre, A., Bridges, E., et al. (2019) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-18-0315 · Cited by 27
Keulers, T. G., Koch, A., van Gisbergen, M. W., Barbeau, L. M. O., Zonneveld, M. I., de Jong, M. C., Savelkouls, K. G. M., Wanders, R. G., Bussink, J., Melotte, V., et al. (2022) · Autophagy · doi:10.1080/15548627.2021.2008690 · Cited by 30
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Wegner, A., Weindl, D., Jäger, C., Sapcariu, S. C., Dong, X., Stephanopoulos, G. N., & Hiller, K. (2014) · Analytical Chemistry · doi:10.1021/ac403879d · Cited by 30
Self-citationvan der Mijn, J. C., Fu, L., Khani, F., Zhang, T., Molina, A. M., Barbieri, C. E., Chen, Q., Gross, S. S., Gudas, L. J., & Nanus, D. M. (2019) · Translational Oncology · doi:10.1016/j.tranon.2019.10.015 · Cited by 31
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Kumari, R., Palaniyandi, S., & Hildebrandt, G. C. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.588449 · Cited by 32
Sawh, M. C., Wallace, M., Shapiro, E. M., Goyal, N. P., Newton, K. P., Yu, E. L., Bross, C., Durelle, J., Knott, C. J., Gangoiti, J. A., et al. (2020) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0000000000003040 · Cited by 31
Self-citationRenick, P. J., Mulgaonkar, A., Co, C. M., Wu, C., Zhou, N., Velázquez, A. M., Pennington, J., Sherwood, A., Dong, H., Castellino, L. M., et al. (2021) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.0c00617 · Cited by 32
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Rad, S. M. A. H., Halpin, J. C., Mollaei, M., Smith‐Bell, S. W., Hirankarn, N., & McLellan, A. D. (2021) · Cancers · doi:10.3390/cancers13061229 · Cited by 31
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Kourti, M., Ikonomou, G., Giakoumakis, N.-N., Rapsomaniki, M., Landegren, U. D., Siniossoglou, S., Lygerou, Z., Simos, G., & Mylonis, I. (2015) · Cellular Signalling · doi:10.1016/j.cellsig.2015.02.017 · Cited by 38
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Ricoult, S. J. H., Dibble, C. C., Asara, J. M., & Manning, B. D. (2016) · Molecular and Cellular Biology · doi:10.1128/mcb.00163-16 · Cited by 29
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Conza, G. D., Cafarello, S. T., Zheng, X., Zhang, Q. H., & Mazzone, M. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.02.081 · Cited by 29
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Carnitine Palmitoyltransferase 1 Regulates Prostate Cancer Growth under Hypoxia
Ríos-Colón, L., Kumar, P., Kim, S., Sharma, M., Su, Y., Kumar, A., Singh, S., Stocks, N., Liu, L., Joshi, M. U., et al. (2021) · Cancers · doi:10.3390/cancers13246302 · Cited by 29
Jajin, M. G., Abooshahab, R., Hooshmand, K., Moradi, A., Siadat, S. D., Mirzazadeh, R., Chegini, K. G., & Hedayati, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-12590-x · Cited by 29
Targeting 2-oxoglutarate dehydrogenase for cancer treatment.
Chang, L., Chiang, S.-K., Chen, S., & Hung, M. (2022) · PubMed Central · Cited by 29
Ma, Q., Xu, H., Wei, Y., & Liang, M. (2023) · Fish Physiology and Biochemistry · doi:10.1007/s10695-022-01154-5 · Cited by 29
Jekabsons, M. B., Merrell, M., Skubiz, A. G., Thornton, N., Milasta, S., Green, D. R., Chen, T., Wang, Y., Avula, B., Khan, I. A., et al. (2023) · Cancer & Metabolism · doi:10.1186/s40170-023-00303-5 · Cited by 29
Eleftheriadis, T., Pissas, G., Yiannaki, E. E., Markala, D., Arampatzis, S., Antoniadi, G., Liakopoulos, V., & Stefanidis, I. (2013) · Human Immunology · doi:10.1016/j.humimm.2013.08.268 · Cited by 29
Cancer Cell Metabolism: There Is No ROS for the Weary
Dang, C. V. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0069 · Cited by 29
Lagziel, S., Lee, W. D., & Shlomi, T. (2019) · BMC Biology · doi:10.1186/s12915-019-0669-x · Cited by 31
A rapid method for quantifying free and bound acetate based on alkylation and GC-MS analysis
Tumanov, S., Bulusu, V., Gottlieb, E., & Kamphorst, J. J. (2016) · Cancer & Metabolism · doi:10.1186/s40170-016-0157-5 · Cited by 29
Isotope tracing in health and disease
Dong, W., Rawat, E. S., Stephanopoulos, G. N., & Abu-Remaileh, M. (2022) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2022.102739 · Cited by 26
Self-citationMetabolic reprogramming in nasopharyngeal carcinoma: Mechanisms and therapeutic opportunities
Liu, Q., Bode, A. M., Chen, X., & Luo, X. (2023) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2023.189023 · Cited by 28
Renoult, O., Gratas, C., Joalland, N., Laurent—Blond, M., Awada, H., Bourgeois, M., Oliver, L., Chiavassa, S., Croyal, M., Paris, F., et al. (2024) · Neuro-Oncology · doi:10.1093/neuonc/noae106 · Cited by 30
Lipid metabolism dynamics in cancer stem cells: potential targets for cancers
Du, J., & Qin, H. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1367981 · Cited by 31
Hallmarks of aging: A user’s guide for comparative biologists
Biga, P. R., Duan, J. E., Young, T. E., Marks, J. R., Bronikowski, A. M., Decena-Segarra, L. P., Randolph, E. C., Pavuluri, A., Li, G., Fang, Y., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102616 · Cited by 33
Metabolic implication of tumor:stroma crosstalk in breast cancer
Morandi, A., & Chiarugi, P. (2014) · Journal of Molecular Medicine · doi:10.1007/s00109-014-1124-7 · Cited by 29
Brożek-Płuska, B., Kopec, M., Surmacki, J. M., & Abramczyk, H. (2015) · The Analyst · doi:10.1039/c4an01877j · Cited by 29
Metabolic and oncogenic adaptations to pyruvate dehydrogenase inactivation in fibroblasts
Wang, H., Lu, J. L., Kulkarni, S., Zhang, W., Gorka, J. E., Mandel, J. A., Goetzman, E. S., & Prochownik, E. V. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra118.005200 · Cited by 29
Fu, X., Guo, X., Wu, S., Lin, Q., Liu, L., Liang, H., Niu, Y., & Li, N. (2019) · Metabolites · doi:10.3390/metabo9090174 · Cited by 27
Park, S., Seo, E.-H., Bae, D.-H., Kim, S. S., Kim, J., Lin, W., Kim, K., Park, J. B., Kim, S., Yin, J., et al. (2019) · PubMed Central · doi:10.14348/molcells.2019.0160 · Cited by 27
Monocytes and Macrophages in Cancer: Unsuspected Roles
Gouveia-Fernandes, S. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-34025-4_9 · Cited by 28
Metabolic modulation during intestinal fibrosis
Bos, S., & Laukens, D. (2020) · Journal of Digestive Diseases · doi:10.1111/1751-2980.12882 · Cited by 28
Venkateswaran, G., & Dedhar, S. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.602668 · Cited by 28
More Than Meets the Eye Regarding Cancer Metabolism
Kubicka, A., Matczak, K., & Łabieniec-Watała, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22179507 · Cited by 31
Yang, Z., Hu, N., Wang, W., Hu, W., Zhou, S., Shi, J., Li, M., Jing, Z., Chen, C., Zhang, X., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-0384 · Cited by 28
Zhu, S., Gu, H., Peng, C. Y., Xia, F., Cao, H., & Cui, H. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.849625 · Cited by 30
Notch Signaling and Cross-Talk in Hypoxia: A Candidate Pathway for High-Altitude Adaptation
O’Brien, K. A., Murray, A. J., & Simonson, T. S. (2022) · Life · doi:10.3390/life12030437 · Cited by 28
Badur, M. G., Zhang, H., & Metallo, C. M. (2015) · Biotechnology Journal · doi:10.1002/biot.201400749 · Cited by 27
Self-citationZhou, J., Yun, E.-J., Chen, W., Ding, Y., Wu, K., Wang, B., Ding, C., Hernández, E., Santoyo, J., Pong, R.-C., et al. (2017) · Cell Death and Disease · doi:10.1038/cddis.2017.121 · Cited by 28
Rezig, L., Servadio, A., Torregrossa, L., Miccoli, P., Basolo, F., Shintu, L., & Caldarelli, S. (2018) · Metabolomics · doi:10.1007/s11306-018-1437-6 · Cited by 28
Medium Depth Influences O 2 Availability and Metabolism in Human RPE Cultures
Hass, D. T., Zhang, Q., Autterson, G. A., Bryan, R. A., Hurley, J. B., & Miller, J. M. L. (2023) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.64.14.4 · Cited by 31
Liu, X., Li, M., & Woo, S. (2024) · Pharmaceutics · doi:10.3390/pharmaceutics16091167 · Cited by 28
Duan, L., Guo, L., Deng, B., Li, M., Yang, T., Yang, F., & Yang, Z. (2018) · Molecular Medicine Reports · doi:10.3892/mmr.2018.9278 · Cited by 27
Jones, D. T., Valli, A., Haider, S. A., Zhang, Q., Smethurst, E. A., Schug, Z. T., Peck, B., Aboagye, E. O., Critchlow, S. E., Schulze, A., et al. (2018) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-17-0857 · Cited by 26
Xu, J. P., Martien, J. I., Gilbertson, C., Ma, J., Amador‐Noguez, D., & Park, J. O. (2020) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2020.02.018 · Cited by 27
Systemic vitamin intake impacting tissue proteomes
Jeong, H., & Vacanti, N. M. (2020) · Nutrition & Metabolism · doi:10.1186/s12986-020-00491-7 · Cited by 27
Cui, M., Yi, X., Zhu, D., & Wu, J. (2021) · Translational Cancer Research · doi:10.21037/tcr-21-655 · Cited by 29
Jhu, J.-W., Yan, J.-B., Lin, Z.-H., Lin, S., & Peng, I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22189814 · Cited by 28
Zhang, X., Chen, Y., Li, H., Chen, B., Liu, Z., Wu, G., Li, C., Li, R., Cao, Y., Zhou, J., et al. (2022) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c01978 · Cited by 27
Matheson, L. S., Petkau, G., Sáenz‐Narciso, B., D’Angeli, V., McHugh, J., Newman, R., Munford, H., West, J. A., Chakraborty, K., Roberts, J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-24132-6 · Cited by 25
Fernandez-Fuente, G., Rigby, M. J., & Puglielli, L. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101653 · Cited by 30
Vayalil, P. K., & Landar, A. L. (2015) · Oncotarget · doi:10.18632/oncotarget.5487 · Cited by 27
Guo, C. H., Li, Y., Gow, C., Wong, M., Zha, J., Yan, C., Liu, H., Wang, Y., Burris, T. P., & Zhang, J. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.598797 · Cited by 27
Metadata
- Authors
- Metallo, C. M., Gameiro, P. A., Bell, E. L., Mattaini, K. R., Yang, J., Hiller, K., Jewell, C. M., Johnson, Z. R., Irvine, D. J., Guarente, L., Kelleher, J. K., Vander Heiden, M. G., Iliopoulos, O., & Stephanopoulos, G.
- Affiliations
- Massachusetts Institute of Technology (US)
- Massachusetts General Hospital (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Iliopoulos, Othon
- Stephanopoulos, Gregory
- ORCID
- Venue
- Nature
- Published
- 2011-11-20
- Volume
- 481
- Issue
- 7381
- Pages
- 380-384
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3710581
- OpenAlex
- W2116516144
- Cited by
- 1,791
- References
- 43
- Citations by year
- 2026: 82 · 2025: 95 · 2024: 96 · 2023: 137 · 2022: 156 · 2021: 143 · 2020: 149 · 2019: 125 · 2018: 100 · 2017: 135 · 2016: 129 · 2015: 125 · 2014: 119 · 2013: 112 · 2012: 84
- FWCI
- 34.61
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- RePEc: Research Papers in Economics (submittedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Damon Runyon Cancer Research Foundation
- Wellcome Trust
- Agios Pharmaceuticals
- National Institutes of Health
- National Cancer Institute (R01CA160458, R01CA122591, P30CA014051)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK075850)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Amino Acid Enzymes and Metabolism
- Keywords
- IDH1, lipogenesis, hypoxia, reductive carboxylation, alpha-ketoglutarate, acetyl-CoA, fatty acid synthesis, VHL, renal cell carcinoma, cancer metabolism, mitochondrial dysfunction, aerobic glycolysis
- MeSH terms
- Endothelial PAS Domain-Containing Protein 1, Acetyl Coenzyme A, Carbon, Carcinoma, Renal Cell, Cells, Cultured, Citric Acid Cycle, Glutamine, Humans, Isocitrate Dehydrogenase, Ketoglutaric Acids, Kidney Neoplasms, Oxidation-Reduction, Oxygen, Cell Hypoxia, CD8-Positive T-Lymphocytes, Palmitic Acid, Cell Line, Tumor, Lipogenesis, Aryl Hydrocarbon Receptor Nuclear Translocator, Basic Helix-Loop-Helix Transcription Factors, Basic Helix-Loop-Helix Proteins, Von Hippel-Lindau Tumor Suppressor Protein, Hypoxia-Inducible Factor 1, alpha Subunit
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