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Reductive carboxylation supports growth in tumour cells with defective mitochondria
Open accessAbstract
Mitochondrial metabolism provides precursors to build macromolecules in growing cancer cells. In normally functioning tumour cell mitochondria, oxidative metabolism of glucose- and glutamine-derived carbon produces citrate and acetyl-coenzyme A for lipid synthesis, which is required for tumorigenesis. Yet some tumours harbour mutations in the citric acid cycle (CAC) or electron transport chain (ETC) that disable normal oxidative mitochondrial function, and it is unknown how cells from such tumours generate precursors for macromolecular synthesis. Here we show that tumour cells with defective mitochondria use glutamine-dependent reductive carboxylation rather than oxidative metabolism as the major pathway of citrate formation. This pathway uses mitochondrial and cytosolic isoforms of NADP(+)/NADPH-dependent isocitrate dehydrogenase, and subsequent metabolism of glutamine-derived citrate provides both the acetyl-coenzyme A for lipid synthesis and the four-carbon intermediates needed to produce the remaining CAC metabolites and related macromolecular precursors. This reductive, glutamine-dependent pathway is the dominant mode of metabolism in rapidly growing malignant cells containing mutations in complex I or complex III of the ETC, in patient-derived renal carcinoma cells with mutations in fumarate hydratase, and in cells with normal mitochondria subjected to acute pharmacological ETC inhibition. Our findings reveal the novel induction of a versatile glutamine-dependent pathway that reverses many of the reactions of the canonical CAC, supports tumour cell growth, and explains how cells generate pools of CAC intermediates in the face of impaired mitochondrial metabolism.
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In 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 [630]
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 [76]
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 Mullen, 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 Mullen, 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 [123]
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 [80]
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 Mullen 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 Mullen et al., 2012
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 [70]
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 Mullen 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 Mullen 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 Mullen et al., 2011
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1 retracted
Branched tricarboxylic acid metabolism in Plasmodium falciparum
Olszewski, K. L., Mather, M. W., Morrisey, J. M., Garcia, B. A., Vaidya, A. B., Rabinowitz, J. D., & Llinás, M. (2010) · Nature · doi:10.1038/nature09301 · Cited by 124
RetractedUnderstanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
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
Self-citationGao, 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
Mitochondrial metabolism and ROS generation are essential for Kras-mediated tumorigenicity
Weinberg, F., Hamanaka, R., Wheaton, W. W., Weinberg, S., Joseph, J., Lopez, M., Kalyanaraman, B., Mutlu, G. M., Budinger, G. R. S., & Chandel, N. S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003428107 · Cited by 1,742
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Baysal, B. E., Ferrell, R. E., Willett-Brozick, J. E., Lawrence, E. C., Myssiorek, D., Bosch, A., Mey, A. V. D., Taschner, P. E. M., Rubinstein, W. S., Myers, E. N., et al. (2000) · Science · doi:10.1126/science.287.5454.848 · Cited by 1,638
The Multiple Leiomyoma Consortium (2002) · Nature Genetics · doi:10.1038/ng849 · Cited by 1,635
El-Mir, M.-Y., Nogueira, V., Fontaine, E., Avéret, N., Rigoulet, M., & Leverve, X. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.275.1.223 · Cited by 1,399
Q's next: the diverse functions of glutamine in metabolism, cell biology and cancer
DeBerardinis, R. J., & Cheng, T. (2010) · Oncogene · doi:10.1038/onc.2009.358 · Cited by 1,365
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Jiang, H., He, C. J., Li, A. M., He, B., Li, Y., Zhou, M.-N., & Ye, J. (2023) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-23-0049 · Cited by 21
Targeting Mitochondria for Cancer Treatment
Zorova, L. D., Abramicheva, P. A., Andrianova, N. V., Babenko, V. A., Zorov, S. D., Pevzner, I. B., Popkov, V. A., Semenovich, D. S., Yakupova, E. I., Silachev, D. N., et al. (2024) · Pharmaceutics · doi:10.3390/pharmaceutics16040444 · Cited by 23
Mitochondrial metabolic remodeling in response to genetic and environmental perturbations
Hollinshead, K. E. R., & Tennant, D. A. (2016) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1334 · Cited by 22
Wu, L., Zhao, J., Cao, K., Liu, X., Cai, H., Wang, J., Li, W., & Chen, Z. (2018) · Cell Communication and Signaling · doi:10.1186/s12964-018-0217-2 · Cited by 21
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Jonker, P. B., & Muir, A. (2024) · Disease Models & Mechanisms · doi:10.1242/dmm.050814 · Cited by 21
Johnson, G. A., Minela, T., Seo, H., Bazer, F. W., Burghardt, R. C., Wu, G., Pohler, K. G., Stenhouse, C., Cain, J. W., Seekford, Z. K., et al. (2025) · Biomolecules · doi:10.3390/biom15071037 · Cited by 21
Sharma, A., Nair, R., Achreja, A., Mittal, A., Gupta, P., Balakrishnan, K., Edgar, C. L., Animasahun, O. H., Dwivedi, B., Barwick, B. G., et al. (2022) · Science Advances · doi:10.1126/sciadv.abq5575 · Cited by 22
Frank, A. R., Li, V., Shelton, S. D., Kim, J., Stott, G. M., Neckers, L. Μ., Xie, Y., Williams, N. S., Mishra, P., & McFadden, D. G. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0982 · Cited by 20
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Rajh, M., Dolinar, K., Miš, K., Pavlin, M., & Pirkmajer, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154747 · Cited by 22
Smestad, J. A., Hamidi, O., Wang, L., Holte, M. N., Khazal, F. J. A., Erber, L. N., Chen, Y., & Maher, L. J. (2017) · Oncotarget · doi:10.18632/oncotarget.23639 · Cited by 20
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Zeng, Y., Wu, R., He, Y., Zhang, Q., Wang, Z., Qin, P., Yang, F., Han, Y., Hao, M., Zheng, Y., et al. (2025) · Cell Host & Microbe · doi:10.1016/j.chom.2025.04.011 · Cited by 19
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de Aquino, R. S., Junior, W. M. D., Manso, H. E. C. D. C. C., Filho, H. C. M., Kutschenko, M., Nogueira, E. T., & Watford, M. (2014) · Livestock Science · doi:10.1016/j.livsci.2014.07.009 · Cited by 18
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Bhalla, K., Jaber, S. M., Reagan, K., Hamburg, A., Underwood, K. F., Jhajharia, A., Singh, M., Bhandary, B., Bhat, S., Nanaji, N. M., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-78193-6 · Cited by 17
Yolba, R. L., Marmoiton, J., Gigo, V., Marechal, X., Boët, E., Sahal, A., Alet, N., Abramovich, I., Gottlieb, E., Visentin, V., et al. (2021) · Cancers · doi:10.3390/cancers13143499 · Cited by 17
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A matter of life, death and diseases: mitochondria from a proteomic perspective
Warda, M., Kim, H. K., Kim, N., Ko, K. S., Rhee, B. D., & Han, J. (2013) · Expert Review of Proteomics · doi:10.1586/epr.12.69 · Cited by 16
Bayesian Pathway Analysis of Cancer Microarray Data
Korucuoglu, M., Isci, S., Özgür, A., & Otu, H. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102803 · Cited by 17
A novel and highly effective mitochondrial uncoupling drug in T-cell leukemia
da Silva-Diz, V., Cao, B., Lancho, O., Chiles, E. N., Alasadi, A., Aleksandrova, M., Luo, S., Singh, A., Tao, H., Augeri, D. J., et al. (2021) · Blood · doi:10.1182/blood.2020008955 · Cited by 16
Muyinda, I. J., Park, J. G., Jang, E., & Yoo, B. C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105070 · Cited by 16
Esmaeili, S., Sahranavard, S., Salehi, A., & Bagheri, V. (2021) · IUBMB Life · doi:10.1002/iub.2524 · Cited by 16
Vert, A., Castro, J., Ribó, M., Benito, A., & Vilanova, M. (2016) · Oncotarget · doi:10.18632/oncotarget.7579 · Cited by 16
Im, Y. K., Najyb, O., Gravel, S., McGuirk, S., Ahn, R., Avizonis, D. Z., Chénard, V., Sabourin, V., Hudson, J., Pawson, T. J., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-17-3696 · Cited by 17
Cardio-Onco-Metabolism – Metabolic vulnerabilities in cancer and the heart
Karlstaedt, A., & Taegtmeyer, H. (2022) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2022.06.008 · Cited by 15
Hormone-Glutamine Metabolism: A Critical Regulatory Axis in Endocrine-Related Cancers
Xu, F., Shi, J., Qin, X., Zheng, Z., Chen, M., Lin, Z., Ye, J., & Li, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231710086 · Cited by 15
Filadi, R., Mario, A. D., Audano, M., Romani, P., Pedretti, S., Cárdenas, C., Dupont, S., Mammucari, C., Mitro, N., & Pizzo, P. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1071037 · Cited by 15
Lengauer, F., Geisslinger, F., Gabriel, A., von Schwarzenberg, K., Vollmar, A. M., & Bartel, K. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1124678 · Cited by 15
Metabolic alteration in tumorigenesis
Yang, H., Xiong, Y., & Guan, K. (2013) · Science China Life Sciences · doi:10.1007/s11427-013-4549-2 · Cited by 16
Metabolic stress regulates ERK activity by controlling KSR‐RAF heterodimerization
Verlande, A., Krafčíková, M., Potěšil, D., Trantı́rek, L., Zdráhal, Z., Elkalaf, M., Trnka, J., Souček, K., Rauch, N., Rauch, J., et al. (2017) · EMBO Reports · doi:10.15252/embr.201744524 · Cited by 16
Smolková, K., Špačková, J., Gotvaldová, K., Dvořák, A., Křenková, A., Hubálek, M., Holendová, B., Vı́tek, L., & Ježek, P. (2020) · Scientific Reports · doi:10.1038/s41598-020-65351-z · Cited by 15
Selective induction of rapid cytotoxic effect in glioblastoma cells by oscillating magnetic fields
Helekar, S. A., Hambarde, S., Ijare, O. B., Pichumani, K., Baskin, D. S., & Sharpe, M. A. (2021) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-021-03787-0 · Cited by 15
Mitochondrial substrates in cancer: Drivers or passengers?
Kruspig, B., Zhivotovsky, B., & Gogvadze, V. G. (2014) · Mitochondrion · doi:10.1016/j.mito.2014.08.007 · Cited by 15
Key indexes and the emerging tool for tumor microenvironment editing.
Dai, X., Luo, Y.-N., Xu, Y., & Zhang, J. (2019) · PubMed Central · Cited by 15
Yang, J., Miao, D., Li, X., Zhao, C., Tan, D., Wu, S., Lu, F., Shi, J., Lv, Q., Ruan, H., et al. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1664292 · Cited by 15
Regulation of fatty acid synthase on tumor and progress in the development of related therapies
Bai, R., & Cui, J. (2024) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002880 · Cited by 15
Aspartate in tumor microenvironment and beyond: Metabolic interactions and therapeutic perspectives
Soon, J. W., Manca, M. A., Laskowska, A., Starková, J., Rohlenová, K., & Rohlena, J. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2024.167451 · Cited by 15
Dynamic UltraFast 2D EXchange SpectroscopY (UF-EXSY) of hyperpolarized substrates
Swisher, C. L., Koelsch, B. L., Sukumar, S., Sriram, R., Santos, R. D., Wang, Z. J., Kurhanewicz, J. V., Vigneron, D. B., & Larson, P. E. Z. (2015) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2015.05.011 · Cited by 14
In vivo detection of citrate in brain tumors by 1H magnetic resonance spectroscopy at 3T
Choi, C., Ganji, S., Madan, A., Hulsey, K., An, Z., Zhang, S., Pinho, M. C., DeBerardinis, R. J., Bachoo, R. M., & Maher, E. A. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24946 · Cited by 14
Self-citation2‐Hydoxyglutarate: D/Riving Pathology in gLiomaS
Wahl, D. R., & Venneti, S. (2015) · Brain Pathology · doi:10.1111/bpa.12309 · Cited by 14
Priéto, I., Alarcon, C. R., García-Gómez, R., Berdún, R., Urgel, T., Portero‐Otín, M., Pamplona, R., Martı́nez-Ruiz, A., Ruiz-Sanz, J. I., Ruiz‐Larrea, M. B., et al. (2019) · Redox Biology · doi:10.1016/j.redox.2019.101396 · Cited by 15
Repas, J., Zügner, E., Gole, B., Bizjak, M., Potočnik, U., Magnes, C., & Pavlin, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-98642-0 · Cited by 14
Wang, S., Yang, C., Pan, C., Feng, X., Lei, Z., Huang, J., Wei, X., li, F., & Ma, Y. (2022) · Gene · doi:10.1016/j.gene.2022.146225 · Cited by 14
La tumeur cancéreuse : un parasite métabolique ?
Icard, P., & Lincet, H. (2013) · Bulletin du Cancer · doi:10.1684/bdc.2013.1742 · Cited by 14
Yi, C., Yu, D., Shi, X., Zhang, X., Luo, G., He, Q., & Zhang, X. (2015) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000444 · Cited by 14
Background Levels of Neomorphic 2-hydroxyglutarate Facilitate Proliferation of Primary Fibroblasts
Dvořák, A., Zelenka, J., Smolková, K., Vı́tek, L., & Ježek, P. (2017) · Physiological Research · doi:10.33549/physiolres.933249 · Cited by 14
Zhdanov, A. V., Andreev, D. E., Baranov, P. V., & Papkovsky, D. B. (2017) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2017.02.025 · Cited by 14
Lin, Z., He, H., Chen, P., Dong, X., Jiang, J., Huang, W., Pan, Z., Guan, Z., Lu, L., Li, H., et al. (2025) · Basic Research in Cardiology · doi:10.1007/s00395-025-01135-8 · Cited by 13
Self-citationMarques, E., Burr, S. P., Casey, A. M., Stopforth, R. J., Yu, C. S., Turner, K., Wolf, D. M., Dilucca, M., Paupe, V., Chowdhury, S. R., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65023-4 · Cited by 13
Tavares‐Valente, D., Cannone, S., Greco, M. R., Carvalho, T. M. A., Baltazar, F., Queirós, O., Agrimi, G., Reshkin, S. J., & Cardone, R. A. (2023) · Cancers · doi:10.3390/cancers15153868 · Cited by 13
Zhang, R., Lu, W., Tu, L., Lin, Y., Sun, J., Chen, B., & Luan, T. (2023) · Environmental Pollution · doi:10.1016/j.envpol.2023.122684 · Cited by 13
Metadata
- Authors
- Mullen, A. R., Wheaton, W. W., Jin, E. S., Chen, P.-H., Sullivan, L. B., Cheng, T., Yang, Y., Linehan, W. M., Chandel, N. S., & DeBerardinis, R. J.
- Affiliations
- The University of Texas Southwestern Medical Center (US)
- Northwestern University (US)
- National Institutes of Health (US)
- Harold C. Simmons Comprehensive Cancer Center (US)
- Corresponding author
- Chandel, Navdeep S.
- DeBerardinis, Ralph J.
- ORCID
- Venue
- Nature
- Published
- 2011-11-20
- Volume
- 481
- Issue
- 7381
- Pages
- 385-388
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3262117
- OpenAlex
- W2092152920
- Cited by
- 1,328
- References
- 27
- Citations by year
- 2026: 81 · 2025: 92 · 2024: 63 · 2023: 70 · 2022: 107 · 2021: 107 · 2020: 91 · 2019: 88 · 2018: 82 · 2017: 84 · 2016: 96 · 2015: 98 · 2014: 99 · 2013: 86 · 2012: 80
- FWCI
- 29.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (R01CA123067, R01CA157996, T32CA009560)
- National Institute of General Medical Sciences (T32GM083831, T32GM008061)
- National Institute of Diabetes and Digestive and Kidney Diseases (K08DK072565, K01DK078933, DK078933)
- National Center for Research Resources (P41RR002584, RR‐02584)
- 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 › Molecular Biology › Metabolism, Diabetes, and Cancer
- Keywords
- reductive carboxylation, glutamine metabolism, IDH1, acetyl-CoA, lipogenesis, hypoxia, tumor growth, fumarate hydratase deficiency, renal carcinoma, TCA cycle
- MeSH terms
- Acetyl Coenzyme A, Animals, Carcinoma, Renal Cell, Electron Transport, Fumarate Hydratase, Glucose, Glutamine, Humans, Isocitrate Dehydrogenase, Kidney Neoplasms, Mitochondria, NADP, Neoplasms, Electron Transport Complex III, Cell Hypoxia, Citric Acid, Electron Transport Complex I, Cell Line, Tumor, Mice
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