Glutamine‐driven oxidative phosphorylation is a major ATP source in transformed mammalian cells in both normoxia and hypoxia
Open accessAbstract
Mammalian cells can generate ATP via glycolysis or mitochondrial respiration. Oncogene activation and hypoxia promote glycolysis and lactate secretion. The significance of these metabolic changes to ATP production remains however ill defined. Here, we integrate LC-MS-based isotope tracer studies with oxygen uptake measurements in a quantitative redox-balanced metabolic flux model of mammalian cellular metabolism. We then apply this approach to assess the impact of Ras and Akt activation and hypoxia on energy metabolism. Both oncogene activation and hypoxia induce roughly a twofold increase in glycolytic flux. Ras activation and hypoxia also strongly decrease glucose oxidation. Oxidative phosphorylation, powered substantially by glutamine-driven TCA turning, however, persists and accounts for the majority of ATP production. Consistent with this, in all cases, pharmacological inhibition of oxidative phosphorylation markedly reduces energy charge, and glutamine but not glucose removal markedly lowers oxygen uptake. Thus, glutamine-driven oxidative phosphorylation is a major means of ATP production even in hypoxic cancer cells.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
After activation of K-Ras and Akt in transformed cells, 60% of total FADH2 and NADH2 are synthesized from glutamine, while only 30% is derived from glucose.
“Moreover, after the activation of K-Ras and Akt in transformed cells, 60% of the total FADH2 and NADH2 are synthesized from glutamine, while only 30% is derived from glucose140.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [140]
Elevated glutamine anaplerosis and oxidation are likely a consequence of decreased citrate synthase and oxidative IDH flux downstream of PDH while the ETC remained active.
“Elevated glutamine anaplerosis and oxidation are likely a consequence of decreased citrate synthase and oxidative IDH flux downstream of PDH while the ETC remained active (Fan et al., 2013; Le et al., 2012).”
From Regulation of Substrate Utilization by the Mitochondrial Pyruvate Carrier (2014) · cites this paper as Fan et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Repertoires of Autophagy in the Pathogenesis of Ocular Diseases
Li, Y., Jiang, Q. L., Cao, G.-F., Yao, J., & Yan, B. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373980 · Cited by 16,351 · see citing works
Understanding 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 · see citing works
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425 · see citing works
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 · see citing works
Autophagy promotes tumor cell survival and restricts necrosis, inflammation, and tumorigenesis
Degenhardt, K., Mathew, R., Beaudoin, B., Bray, K., Anderson, D., Chen, G., Mukherjee, C., Shi, Y., Gélinas, C., Fan, Y., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.06.001 · Cited by 2,013 · see citing works
Self-citationReductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
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., et al. (2012) · Nature · doi:10.1038/nature10602 · Cited by 1,791 · see citing works
Akt Stimulates Aerobic Glycolysis in Cancer Cells
Elstrom, R. L., Bauer, D. E., Buzzai, M., Karnauskas, R., Harris, M. H., Plas, D. R., Zhuang, H., Cinalli, R. M., Alavi, A., Rudin, C. M., et al. (2004) · Cancer Research · doi:10.1158/0008-5472.can-03-2904 · Cited by 1,454 · see citing works
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N., Kitami, T., Souza, A. L., Kafri, R., Kirschner, M. W., Clish, C. B., & Mootha, V. K. (2012) · Science · doi:10.1126/science.1218595 · Cited by 1,403 · see citing works
HIF-1: upstream and downstream of cancer metabolism
Semenza, G. L. (2009) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2009.10.009 · Cited by 1,381 · see citing works
Global reconstruction of the human metabolic network based on genomic and bibliomic data
Duarte, N. C., Becker, S. A., Jamshidi, N., Thiele, I., Mo, M. L., Vo, T. D., Srivas, R., & Palsson, B. Ø. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610772104 · Cited by 1,374 · see citing works
Cooperation and Competition in the Evolution of ATP-Producing Pathways
Pfeiffer, T., Schuster, S., & Bonhoeffer, S. (2001) · Science · doi:10.1126/science.1058079 · Cited by 1,365 · see citing works
Glucose-Independent Glutamine Metabolism via TCA Cycling for Proliferation and Survival in B Cells
Le, A., Lane, A. N., Hamaker, M., Bose, S., Gouw, A., Barbi, J., Tsukamoto, T., Rojas, C. J., Slusher, B. S., Zhang, H., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2011.12.009 · Cited by 1,095 · see citing works
Varma, A., & Palsson, B. Ø. (1994) · Applied and Environmental Microbiology · doi:10.1128/aem.60.10.3724-3731.1994 · Cited by 1,058 · see citing works
Bar-Sagi, D., & Feramisco, J. R. (1986) · Science · doi:10.1126/science.3090687 · Cited by 734 · see citing works
Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli
Schuetz, R. J., Kuepfer, L., & Sauer, U. (2007) · Molecular Systems Biology · doi:10.1038/msb4100162 · Cited by 684 · see citing works
Munger, J. C., Bennett, B. D., Parikh, A., Feng, X., McArdle, J., RABITZ, H. A., Shenk, T. E., & Rabinowitz, J. D. (2008) · Nature Biotechnology · doi:10.1038/nbt.1500 · Cited by 630 · see citing works
Self-citationCancer metabolism: facts, fantasy, and fiction
Zu, X. L., & Guppy, M. (2003) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2003.11.136 · Cited by 618 · see citing works
Metabolomic Analysis and Visualization Engine for LC−MS Data
Melamud, E., Vastag, L., & Rabinowitz, J. D. (2010) · Analytical Chemistry · doi:10.1021/ac1021166 · Cited by 603 · see citing works
Self-citationElementary metabolite units (EMU): A novel framework for modeling isotopic distributions
Antoniewicz, M. R., Kelleher, J. K., & Stephanopoulos, G. N. (2006) · Metabolic Engineering · doi:10.1016/j.ymben.2006.09.001 · Cited by 544 · see citing works
Is Akt the “Warburg kinase”?—Akt-energy metabolism interactions and oncogenesis
Robey, R. B., & Hay, N. (2008) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2008.11.010 · Cited by 543 · see citing works
Imaging cytosolic NADH-NAD(+) redox state with a genetically encoded fluorescent biosensor
Hung, Y. P., Albeck, J. G., Tantama, M., & Yellen, G. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.08.012 · Cited by 509 · see citing works
Lu, W., Clasquin, M. F., Melamud, E., Amador‐Noguez, D., Caudy, A. A., & Rabinowitz, J. D. (2010) · Analytical Chemistry · doi:10.1021/ac902837x · Cited by 504 · see citing works
Self-citationOncogenic K‐Ras decouples glucose and glutamine metabolism to support cancer cell growth
Gaglio, D., Metallo, C. M., Gameiro, P. A., Hiller, K., Danna, L. S., Balestrieri, C., Alberghina, L., Stephanopoulos, G., & Chiaradonna, F. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.56 · Cited by 492 · see citing works
Predicting selective drug targets in cancer through metabolic networks
Folger, O., Jerby‐Arnon, L., Frezza, C., Gottlieb, E., Ruppin, E., & Shlomi, T. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.35 · Cited by 469 · see citing works
Self-citationAutophagy facilitates glycolysis during Ras-mediated oncogenic transformation
Lock, R., Roy, S., Kenific, C. M., Su, J. S., Salas, E., Ronen, S. M., & Debnath, J. (2011) · Molecular Biology of the Cell · doi:10.1091/mbc.e10-06-0500 · Cited by 467 · see citing works
Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements
Antoniewicz, M. R., Kelleher, J. K., & Stephanopoulos, G. N. (2006) · Metabolic Engineering · doi:10.1016/j.ymben.2006.01.004 · Cited by 451 · see citing works
Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach
Bennett, B. D., Yuan, J., Kimball, E., & Rabinowitz, J. D. (2008) · Nature Protocols · doi:10.1038/nprot.2008.107 · Cited by 384 · see citing works
Self-citationQuiescent Fibroblasts Exhibit High Metabolic Activity
Lemons, J. M. S., Feng, X., Bennett, B. D., Legesse-Miller, A., Johnson, E. L., Raitman, I., Pollina, E. A., RABITZ, H. A., Rabinowitz, J. D., & Coller, H. A. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000514 · Cited by 377 · see citing works
Self-citationCatabolic efficiency of aerobic glycolysis: The Warburg effect revisited
Vázquez, A., Liu, J., Zhou, Y., & Oltvai, Z. N. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-58 · Cited by 320 · see citing works
Plas, D. R., Talapatra, S., Edinger, A. L., Rathmell, J. C., & Thompson, C. B. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m010551200 · Cited by 308 · see citing works
Genetically Encoded Fluorescent Sensors for Intracellular NADH Detection
Zhao, Y., Jin, J., Hu, Q., Zhou, H.-M., Yi, J., Yu, Z., Xu, L., Wang, X., Yang, Y., & Loscalzo, J. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.09.004 · Cited by 302 · see citing works
Mitochondria and Cancer: Warburg AddressedPreprint
Wallace, D. C. (2005) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2005.70.035 · Cited by 288 · see citing works
Guppy, M., Leedman, P. J., XinLin, Z. U., & Russell, V. R. (2002) · Biochemical Journal · doi:10.1042/bj3640309 · Cited by 252 · see citing works
Shlomi, T., Benyamini, T., Gottlieb, E., Sharan, R., & Ruppin, E. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002018 · Cited by 244 · see citing works
Self-citationClark, R. A. F., McCoy, G. A., Folkvord, J. M., & McPherson, J. M. (1997) · Journal of Cellular Physiology · doi:10.1002/(sici)1097-4652(199701)170:1 · Cited by 212 · see citing works
Metabolic Profiling of Hypoxic Cells Revealed a Catabolic Signature Required for Cell Survival
Frezza, C., Zheng, L., Tennant, D. A., Papkovsky, D. B., Hedley, B. A., Kalna, G., Watson, D. G., & Gottlieb, E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024411 · Cited by 177 · see citing works
BAX and BAK mediate p53-independent suppression of tumorigenesis
Degenhardt, K., Chen, G., Lindsten, T., & White, E. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00126-5 · Cited by 140 · see citing works
Self-citationReactivating HIF prolyl hydroxylases under hypoxia results in metabolic catastrophe and cell death
Tennant, D. A., Frezza, C., MacKenzie, E. D., Nguyen, Q., Zheng, L., Selak, M. A., Roberts, D. L., Dive, C., Watson, D. G., Aboagye, E. O., et al. (2009) · Oncogene · doi:10.1038/onc.2009.250 · Cited by 117 · see citing works
Chun, S. Y., Johnson, C., Washburn, J. G., Cruz-Correa, M. R., Dang, D. T., & Dang, L. H. (2010) · Molecular Cancer · doi:10.1186/1476-4598-9-293 · Cited by 109 · see citing works
Lin, H.-J. L., Eviner, V. T., Prendergast, G. C., & White, E. (1995) · Molecular and Cellular Biology · doi:10.1128/mcb.15.8.4536 · Cited by 93 · see citing works
Self-citationVazquez, A., & Oltvai, Z. N. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019538 · Cited by 70 · cited 2× · see citing works
“4 mmole/ml cells/h (Supplementary Figure 7) (Vazquez and Oltvai, 2011).”
BackgroundInfluentialStationary versus non-stationary 13C-MFA: A comparison using a consistent dataset
Noack, S., Nöh, K., Moch, M., Oldiges, M., & Wiechert, W. (2010) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2010.07.008 · Cited by 62 · see citing works
Isotopomer spectral analysis of triglyceride fatty acid synthesis in 3T3-L1 cells
Kharroubi, A., Masterson, T. M., Aldaghlas, T., Kennedy, K. A., & Kelleher, J. K. (1992) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1992.263.4.e667 · Cited by 62 · see citing works
A Mouse Model System to Genetically Dissect the Molecular Mechanisms Regulating Tumorigenesis
Degenhardt, K., & White, E. (2006) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-0439 · Cited by 54 · see citing works
Self-citationLATSIS, T., ANDERSEN, B., & Agius, L. (2002) · Biochemical Journal · doi:10.1042/bj20021070 · Cited by 52 · see citing works
Impairment of mitochondrial respiration in mouse fibroblasts byoncogenic H-RASQ61L
Yang, D., Wang, M.-T., Tang, Y., Chen, Y., Jiang, H., Jones, T. T., Rao, K., Brewer, G. J., Singh, K. K., & Nie, D. (2010) · Cancer Biology & Therapy · doi:10.4161/cbt.9.2.10379 · Cited by 52 · see citing works
Chapter 5 Immortalized Mouse Epithelial Cell Models to Study the Role of Apoptosis in Cancer
Mathew, R., Degenhardt, K., Haramaty, L., Karp, C. M., & White, E. (2008) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(08)01605-4 · Cited by 27 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Fundamentals of Cancer Metabolism
DeBerardinis, R. J., & Chandel, N. S. (2016) · Science Advances · doi:10.1126/sciadv.1600200 · Cited by 3,013 · see citing works
From Krebs to clinic: glutamine metabolism to cancer therapy
Altman, B. J., Stine, Z. E., & Dang, C. V. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.71 · Cited by 2,119 · see citing works
Cancer metabolism: a therapeutic perspective
Martinez-Outschoorn, U. E., Peiris-Pagés, M., Pestell, R. G., Sotgia, F., & Lisanti, M. P. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.60 · Cited by 1,505 · see citing works
Supporting aspartate biosynthesis is an essential function of respiration in proliferating cells
Sullivan, L. B., Gui, D. Y., Hosios, A. M., Bush, L. N., Freinkman, E., & Vander Heiden, M. G. (2015) · Cell · doi:10.1016/j.cell.2015.07.017 · Cited by 1,173 · see citing works
Glutamine reliance in cell metabolism
Yoo, H. C., Yu, Y. C., Sung, Y., & Han, J. M. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-00504-8 · Cited by 1,021 · see citing works
Kamphorst, J. J., Nofal, M., Commisso, C., Hackett, S. R., Lu, W., Grabocka, E., Vander Heiden, M. G., Miller, G., Drebin, J. A., Bar-Sagi, D., et al. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-2211 · Cited by 893 · see citing works
Self-citationGlutaminolysis: A Hallmark of Cancer Metabolism
Yang, L., Venneti, S., & Nagrath, D. (2017) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071516-044546 · Cited by 859 · see citing works
Hypoxia and Metabolic Adaptation of Cancer Cells
Eales, K. L., Hollinshead, K. E. R., & Tennant, D. A. (2016) · Oncogenesis · doi:10.1038/oncsis.2015.50 · Cited by 724 · see citing works
Cancer cell metabolism: the essential role of the nonessential amino acid, glutamine
Zhang, J., Pavlova, N. N., & Thompson, C. B. (2017) · The EMBO Journal · doi:10.15252/embj.201696151 · Cited by 651 · see citing works
Stem cell programs in cancer initiation, progression, and therapy resistance
Huang, T., Song, X., Xu, D., Tiek, D., Goenka, A., Wu, B., Sastry, N., Hu, B., & Cheng, S.-Y. (2020) · Theranostics · doi:10.7150/thno.41648 · Cited by 524 · see citing works
Regulation and function of the mammalian tricarboxylic acid cycle
Arnold, P. K., & Finley, L. W. S. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102838 · Cited by 535 · see citing works
Metabolite concentrations, fluxes and free energies imply efficient enzyme usage
Park, J. O., Rubin, S. A., Xu, Y.-F., Amador-Noguez, D., Fan, J., Shlomi, T., & Rabinowitz, J. D. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2077 · Cited by 453 · see citing works
Yoo, H. C., Park, S. J., Nam, M., Kang, J., Kim, K., Yeo, J. H., Kim, J.-K., Heo, Y., Lee, H. S., Lee, M. Y., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.020 · Cited by 449 · see citing works
Reversal of cytosolic one-carbon flux compensates for loss of the mitochondrial folate pathway
Ducker, G. S., Chen, L., Morscher, R. J., Ghergurovich, J. M., Esposito, M., Teng, X., Kang, Y., & Rabinowitz, J. D. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.04.016 · Cited by 419 · see citing works
Self-citationMitochondria as biosynthetic factories for cancer proliferation
Ahn, C. S., & Metallo, C. M. (2015) · Cancer & Metabolism · doi:10.1186/s40170-015-0128-2 · Cited by 399 · see citing works
Nutrient acquisition strategies of mammalian cells
Palm, W., & Thompson, C. B. (2017) · Nature · doi:10.1038/nature22379 · Cited by 388 · see citing works
Metabolic signatures of cancer cells and stem cells
Intlekofer, A. M., & Finley, L. W. S. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0032-0 · Cited by 322 · see citing works
The role of osteoblasts in energy homeostasis
Dirckx, N., Moorer, M. C., Clemens, T. L., & Riddle, R. C. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0246-y · Cited by 292 · see citing works
Regulation of Substrate Utilization by the Mitochondrial Pyruvate Carrier
Vacanti, N. M., Divakaruni, A. S., Green, C. R., Parker, S. J., Henry, R. R., Ciaraldi, T. P., Murphy, A. N., & Metallo, C. M. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.09.024 · Cited by 277 · see citing works
Kamphorst, J. J., Chung, M. K., Fan, J., & Rabinowitz, J. D. (2014) · Cancer & Metabolism · doi:10.1186/2049-3002-2-23 · Cited by 227 · see citing works
Self-citationVazquez, A., Kamphorst, J. J., Markert, E. K., Schug, Z. T., Tardito, S., & Gottlieb, E. (2016) · Journal of Cell Science · doi:10.1242/jcs.181016 · Cited by 225 · see citing works
Self-citationSerine one-carbon catabolism with formate overflow
Meiser, J., Tumanov, S., Maddocks, O., Labuschagne, C. F., Athineos, D., Van Den Broek, N., Mackay, G. M., Gottlieb, E., Blyth, K., Vousden, K., et al. (2016) · Science Advances · doi:10.1126/sciadv.1601273 · Cited by 174 · see citing works
Targeting mitochondrial complex I using BAY 87-2243 reduces melanoma tumor growth
Schöckel, L., Glasauer, A., Basit, F., Bitschar, K., Truong, H., Erdmann, G., Algire, C., Hägebarth, A., Willems, P. H., Kopitz, C., et al. (2015) · Cancer & Metabolism · doi:10.1186/s40170-015-0138-0 · Cited by 161 · see citing works
The Warburg Effect is the result of faster ATP production by glycolysis than respiration
Kukurugya, M. A., Rosset, S., & Titov, D. V. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2409509121 · Cited by 81 · see citing works
Lee, W. D., Mukha, D., Aizenshtein, E., & Shlomi, T. (2019) · Nature Communications · doi:10.1038/s41467-019-09352-1 · Cited by 70 · see citing works
Self-citationUrra, F. A., Muñoz, F., Córdova-Delgado, M., Ramírez, M. P., Peña-Ahumada, B., Rios, M., Cruz, P., Ahumada-Castro, U., Bustos, G., Silva-Pavez, E., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31367-9 · Cited by 69 · see citing works
Linking Metabolic Reprogramming, Plasticity and Tumor Progression
Shuvalov, O., Daks, A., Fedorova, O., Petukhov, A., & Barlev, N. (2021) · Cancers · doi:10.3390/cancers13040762 · Cited by 63 · see citing works
Combined blockade of EGFR and glutamine metabolism in preclinical models of colorectal cancer
Cohen, A. S., Geng, L., Zhao, P., Fu, A., Schulte, M. L., Graves-Deal, R., Washington, M. K., Berlin, J., Coffey, R. J., & Manning, H. C. (2020) · Translational Oncology · doi:10.1016/j.tranon.2020.100828 · Cited by 49 · see citing works
- Authors
- Fan, J., Kamphorst, J. J., Mathew, R., Chung, M. K., White, E., Shlomi, T., & Rabinowitz, J. D.
- Affiliations
- Princeton University (US)
- Rutgers Cancer Institute (US)
- Rutgers, The State University of New Jersey (US)
- Technion – Israel Institute of Technology (IL)
- Corresponding author
- Rabinowitz, Joshua D
- Venue
- Molecular Systems Biology
- Published
- 2013-12-03
- Volume
- 9
- Issue
- 1
- Pages
- 712-712
- ISSN
- 1744-4292 (ISSN-L)
- PMC
- PMC3882799
- OpenAlex
- W2101027575
- Cited by
- 428
- References
- 47
- Citations by year
- 2026: 12 · 2025: 37 · 2024: 34 · 2023: 36 · 2022: 48 · 2021: 42 · 2020: 44 · 2019: 39 · 2018: 31 · 2017: 26 · 2016: 30 · 2015: 31 · 2014: 18
- FWCI
- 9.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Systems Biology (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Cancer Institute (CA163591-01A1, RC1CA147961, R01CA163591)
- National Institute of General Medical Sciences (P50GM071508)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer and biochemical research
- Keywords
- glutamine metabolism, oxidative phosphorylation, ATP production, cancer metabolism, hypoxia, oncogene activation, Ras, Akt, glycolysis, glucose oxidation, TCA cycle, oxygen consumption, energy charge, isotope tracers
- MeSH terms
- Adenosine Triphosphate, Animals, Cell Line, Transformed, Glutamine, Humans, Models, Biological, Neoplasms, Oxidative Phosphorylation, Cell Hypoxia, Cell Line, Tumor, Systems Biology, Mice, Metabolic Networks and Pathways
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review