The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells
Open accessAbstract
Eukaryotic cells compartmentalize biochemical processes in different organelles, often relying on metabolic cycles to shuttle reducing equivalents across intracellular membranes. NADPH serves as the electron carrier for the maintenance of redox homeostasis and reductive biosynthesis, with separate cytosolic and mitochondrial pools providing reducing power in each respective location. This cellular organization is critical for numerous functions but complicates analysis of metabolic pathways using available methods. Here we develop an approach to resolve NADP(H)-dependent pathways present within both the cytosol and the mitochondria. By tracing hydrogen in compartmentalized reactions that use NADPH as a cofactor, including the production of 2-hydroxyglutarate by mutant isocitrate dehydrogenase enzymes, we can observe metabolic pathway activity in these distinct cellular compartments. Using this system we determine the direction of serine/glycine interconversion within the mitochondria and cytosol, highlighting the ability of this approach to resolve compartmentalized reactions in intact cells.
Overview
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
Verification
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?
In the citing paper
“Serine can also contribute to NADPH production via the folate cycle, which serves to maintain redox homeostasis and support anabolic reactions (Fan et al., 2014; Lewis et al., 2014; Ye et al., 2014).”
From Targeting Metabolism for Cancer Therapy (2017) · cites this paper as Lewis et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
Aerobic glycolysis: Meeting the metabolic requirements of cell proliferation
Lunt, S. Y., & Vander Heiden, M. G. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154237 · Cited by 3,057
Association of reactive oxygen species levels and radioresistance in cancer stem cells
Diehn, M., Cho, R. W., Lobo, N. A., Kalisky, T., Dorie, M. J., Kulp, A. N., Qian, D., Lam, J. S., Ailles, L. E., Wong, M., et al. (2009) · Nature · doi:10.1038/nature07733 · Cited by 2,555
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 · cited 2×
“For instance, compartment-specific metabolic cycling through citrate/aKG (Sazanov and Jackson, 1994; Ward et al., 2010), malate/pyruvate (Jiang et al., 2013; Son et al., 2013), proline (Hagedorn and Phang, 1983; Nilsson et al., 2014), and serine (Tibbetts and Appling, 2010) have been suggested to…”
BackgroundGlutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathway
Son, J., Lyssiotis, C. A., Ying, H., Wang, X., Hua, S., Ligorio, M., Perera, R. M., Ferrone, C. R., Mullarky, E., Shyh-Chang, N., et al. (2013) · Nature · doi:10.1038/nature12040 · Cited by 1,990
Reductive 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
Self-citationMetabolite 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
Bcl-xL Regulates the Membrane Potential and Volume Homeostasis of Mitochondria
Heiden, M. G. V., Chandel, N. S., Williamson, E. K., Schumacker, P. T., & Thompson, C. B. (1997) · Cell · doi:10.1016/s0092-8674(00)80450-x · Cited by 1,378
AMPK regulates NADPH homeostasis to promote tumour cell survival during energy stress
Jeon, S.-M., Chandel, N. S., & Hay, N. (2012) · Nature · doi:10.1038/nature11066 · Cited by 1,132
Antioxidant and oncogene rescue of metabolic defects caused by loss of matrix attachment
Schafer, Z. T., Grassian, A. R., Song, L., Jiang, Z., Gerhart-Hines, Z., Irie, H. Y., Gao, S., Puigserver, P., & Brugge, J. S. (2009) · Nature · doi:10.1038/nature08268 · Cited by 1,031
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 501–563 of 563
Imaging mitochondria live or fixed muscle tissues
Bader, C. A., Bader, C. A., Sorvina, A., Darby, J. R. T., Lock, M. C., Soo, J. Y., Johnson, I. R., Caporale, C., Massi, M., Stagni, S., et al. (2018) · Protocol Exchange · doi:10.1038/protex.2018.101 · Cited by 1
Tracer-Based Cancer Metabolomic Analysis
Liu, J., Huang, J. L., & Xiao, G. G. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-51652-9_8 · Cited by 1
Effects of Curcumin on Changes in Spermatogenetic Cells of Rats Treated with Cisplatin
Şentürk, Ş., & Sandıkçı, M. (2022) · Medical Laboratory Technology Journal · doi:10.31964/mltj.v8i1.483 · Cited by 1
Stochastic simulation algorithm for isotope-based dynamic flux analysis
Thommen, Q., Hurbain, J., & Pfeuty, B. (2022) · Metabolic Engineering · doi:10.1016/j.ymben.2022.11.001 · Cited by 1
Metabolomics of diabetes and cardiovascular disease
Rahman, M., Qureshi, R., Bruginski, E., Alazmi, M., Soufan, O., Biswas, K. H., & Alam, T. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99924-3.00002-9 · Cited by 1
Seneff, S. (2024) · Preprints.org · doi:10.20944/preprints202406.1284.v1 · Cited by 1
Seneff, S. (2024) · Preprints.org · doi:10.20944/preprints202406.1284.v2 · Cited by 1
Postnatal xanthine metabolism regulates cardiac regeneration in mammalsPreprint
Saito, Y., Sugiura, Y., Sakaguchi, A., Sada, T., Nishiyama, C., Maeda, R., Kaneko, M., Kiyonari, H., & Kimura, W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.24.605040 · Cited by 1
D-serine suppresses one-carbon metabolism by competing with mitochondrial L-serine transportPreprint
Suzuki, M., Adachi, K., Wiriyasermkul, P., Fukumura, M., Tamura, R., Hirano, Y., Aizawa, Y., Miyamoto, T., Taniguchi, S., Toda, M., et al. (2025) · eLife · doi:10.7554/elife.108562.1 · Cited by 1
Gültekin, Y., Sivanand, S., Eghbalian, K. M., Barbeau, A. M., Abbott, K. L., Eng, G. M., Tavernier, V., Do, B. T., Shin, H., Ozcelik, E., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.27.708635 · Cited by 3
Yin, B. (2015) · D-Scholarship@Pitt (University of Pittsburgh)
IN THE SPOTLIGHT Mitochondrial One-Carbon Metabolism Maintains Redox Balance during Hypoxia
Martínez‐Reyes, I., & Chandel, N. S. (2014)
Monitoring intracellular redox metabolism with genetically encoded fluorescent sensors
Zhao, Y., Yi, Y. A. N. G., & Zhang, Z. (2017) · Scientia Sinica Vitae · doi:10.1360/n052017-00086
Electron transfer dictates metabolic reprogramming in proliferating cells under hypoxiaPreprint
Wang, Y., Liu, M., Ruan, Y., Chu, Q., Cui, Y., Chen, C., Ying, G., & Li, B. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/244616
Quantitative analysis of redox metabolism
Liu, L. (2018)
Regulation of Metabolic Pathways in Steroidogenic Cells by Ad4BP/SF-1
Morohashi, K.-I., Inoue, M., Li, B., & Baba, T. (2018) · Springer eBooks · doi:10.1007/978-981-10-7941-2_3
Ma, X., Lu, J., Zhu, Y., Xie, J., Li, C. V., Shin, A., Qiang, J., Liu, J., Dou, S., Xiao, Y., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/800565
Modelling molecular processes in weight loss
Tareen, S. H. K. (2020) · doi:10.26481/dis.20200325st
MCART1 is required for mitochondrial NAD transportPreprint
Kory, N., de Bos, J. U., van der Rijt, S., Jankovic, N., Güra, M. A., Arp, N. L., Pena, I. A., Prakash, G., Chan, S. H., Kunchok, T., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.28.267252
Self-citationLiu, S., Ma, Y., & Jiang, H. (2022) · STAR Protocols · doi:10.1016/j.xpro.2021.101120
Ali, N., elbadawy, W., Metwally, I., & Mokhtar, M. (2022) · Mansoura Journal of Forensic Medicine and Clinical Toxicology · doi:10.21608/mjfmct.2022.139392.1045
Metabolic mapping of high-fit and low-fit individuals for human physiological health
Janssen, J. J. E. (2022) · doi:10.18174/573397
Alshammari, N., Chandrashekar, D. V., Rashid, M., & Mehvar, R. (2022) · Fundamental and Clinical Pharmacology · doi:10.1111/fcp.12848
Zarou, M. M., Rattigan, K. M., Sarnello, D., Dawson, A., Ianniciello, A., Dunn, K. M., Copland, M., Sumpton, D. P., Vázquez, A., & Helgason, G. V. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.21.521404
Yang, Z., Hu, N., Wang, W., Hu, W., Zhou, S., Shi, J., Li, M., Jing, Z., Chen, C., Zhang, X., et al. (2023) · doi:10.1158/0008-5472.c.6513586.v1
The development of a hiPSC-based platform to identify tissue-dependencies of IDH1 R132HPreprint
Kahlert, U. D., Mehjardi, N., Sanin, A. Y., Picard, D. J., Westhoff, P., Nickel, A., Uhlmann, C., Shi, W., Steiger, H.-J., Remke, M., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3216060/v1
GOT1 primes the cellular response to hypoxia by supporting glycolysis and HIF1α stabilisationPreprint
Grimm, F., Asuaje, A., Jain, A., dos Santos, M. S., Kleinjung, J., Nunes, P. M., Gehrig, S. M., Fets, L., MacRae, J. I., & Anastasiou, D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.06.556522
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305036
Cytosolic transport of citrate protects nutrient-austere pancreatic cancer from ferroptosisPreprint
Kneebone, A., Lindaur, K., Abbas, A., Cassel, J. A., Graff, S., Abood, G. J., Ding, X., Small, W., Tatsuoka, C. M., Sidoli, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.15.633097
Methods for Coenzyme I Assessment
Koju, N., & Sheng, R. (2025) · Springer eBooks · doi:10.1007/978-981-97-9877-3_7
Methods for Coenzyme II Assessment
Koju, N., & Sheng, R. (2025) · Springer eBooks · doi:10.1007/978-981-97-9877-3_14
Anabolism and Catabolism of Coenzyme II
Koju, N., & Sheng, R. (2025) · Springer eBooks · doi:10.1007/978-981-97-9877-3_10
Sources and Cellular Distribution of Coenzyme II
Koju, N., & Sheng, R. (2025) · Springer eBooks · doi:10.1007/978-981-97-9877-3_8 · Cited by 1
D-serine suppresses one-carbon metabolism by competing with mitochondrial L-serine transportPreprint
Suzuki, M., Adachi, K., Wiriyasermukul, P., Fukumura, M., Tamura, R., Hirano, Y., Aizawa, Y., Miyamoto, T., Taniguchi, S., Toda, M., et al. (2025) · eLife · doi:10.7554/elife.108562
Kumar, A., Mitchener, J., King, Z. A., & Metallo, C. M. (2020) · Figshare · doi:10.6084/m9.figshare.12643560
Self-citationQu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305024
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305027
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305021
Additional file 2 of Bayesian kinetic modeling for tracer-based metabolomic data
Zhang, X., Su, Y., Lane, A. N., Stromberg, A. J., Fan, T. W. M., & Wang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26576969
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305033
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305018
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305015
Qu, Y., Zhai, R., Wang, D., Wang, Z., Hou, G., Wu, C., Tang, M., Xiao, X., Jiao, J., Ba, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23305030
Sekita, Y., Sugiura, Y., Matsumoto, A., Kawasaki, Y., Akasaka, K., Konno, R., Shimizu, M., Ito, T., Sugiyama, E., Yamazaki, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16681513
Additional file 1 of Bayesian kinetic modeling for tracer-based metabolomic data
Zhang, X., Su, Y., Lane, A. N., Stromberg, A. J., Fan, T. W. M., & Wang, C. (2024) · Figshare · doi:10.6084/m9.figshare.26576966
Zou, Y., Cao, Z., Wei, L., Tang, H., Ji, W., Xiao, N., & Zeng, Y. (2026) · Current Cancer Therapy Reviews · doi:10.2174/0115733947399339251106102000
The mitochondrial chaperone HSPD1 folds MTHFD2 independently of its co-chaperone HSPE1
Gabbay, S., Ben-David, H., Alassam, S. S., Cohen, L., Levy, T., Levin, L., Tickotsky, N., Abramovich, I., Batushansky, A., Dror, S., et al. (2026) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2025.0500
Jamshidi, N., & Nigám, S. K. (2026) · Scientific Reports · doi:10.1038/s41598-026-44083-6
Target and small molecule discovery for therapeutic innovation in cardiovascular area
Liu, D. (2019) · theses.fr (ABES) · doi:10.70675/da9fa152zdcc0z498dz9194z563d22d0b77c
EVT-701 : targeting electron transport chain complex I as therapeutic approach in cancer
Yolba, R. L. (2021) · theses.fr (ABES) · doi:10.70675/9cadea77z03ccz4a54zb381zf34a432615a5
DSouza, J., & Kundaikar, H. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44041-0.00009-x
Citrate Compartmentalization Controls Calcium-Dependent Cytokine Production in Effector T CellsPreprint
Cote, A. L., McIntyre, C., Acklin, J. A., Delacruz, L. R., Qiu, Y., Kurland, I. J., & Ringel, A. E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.11.731694
Proline-PRODH metabolism promotes placental angiogenesis via the mtROS-STAT3-bFGF/VEGF-A axis
Huang, S., Wu, D., Chen, Z., Hu, C., Ma, K., Peng, J., Yin, Y., & Tan, C. (2026) · The Innovation Life · doi:10.59717/j.xinn-life.2026.100233
LORENZO, R. D., & Rovere, P. Q. (2026) · Pharmacological Research · doi:10.1016/j.phrs.2026.108345
ᴅ-serine suppresses one-carbon metabolism by competing with mitochondrial ʟ-serine transportPreprint
Suzuki, M., Adachi, K., Wiriyasermukul, P., Fukumura, M., Tamura, R., Hirano, Y., Aizawa, Y., Miyamoto, T., Taniguchi, S., Toda, M., et al. (2026) · eLife · doi:10.7554/elife.108562.2
Zhai, W., Mao, X., 田爱现, Jia, J., Miao, Z., Liu, A., Zhao, N., Wang, Z., Zhao, X., Li, X., et al. (2026) · Biomaterials · doi:10.1016/j.biomaterials.2026.124606
IDH3-dependent mitochondrial function in stromal fibroblasts suppresses malignant tumor growth
Koseki, L. R., Kobayashi, M., Ito, M., Nishiga, Y., Saito, T., Haruna, S., Shibata, A., & Harada, H. (2026) · Neoplasia · doi:10.1016/j.neo.2026.101361
Ponamarev, V. S. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27209075
Autophagy inhibition sensitizes radiotherapy responses in high-grade mutant IDH1 glioma
Núñez, F. J., Banerjee, K., Mujeeb, A., Mauser, A., Tronrud, C. E., Zhu, Z., Raghuram, S., Sheth, M. R., Agudelo, J. A. P., Zelaya, J., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-77320-7 · Cited by 1
D-serine suppresses one-carbon metabolism by competing with mitochondrial L-serine transportPreprint
Suzuki, M., Adachi, K., Wiriyasermukul, P., Fukumura, M., Tamura, R., Hirano, Y., Aizawa, Y., Miyamoto, T., Taniguchi, S., Toda, M., et al. (2026) · eLife · doi:10.7554/elife.108562.3
Metadata
- Authors
- Lewis, C. A., Parker, S. J., Fiske, B. P., McCloskey, D., Gui, D. Y., Green, C. R., Vokes, N. I., Feist, A. M., Vander Heiden, M. G., & Metallo, C. M.
- Affiliations
- Koch Institute for Integrative Cancer Research At MIT (US)
- University of California San Diego (US)
- Corresponding author
- Metallo, Christian M.
- ORCID
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 55
- Issue
- 2
- Pages
- 253-263
- ISSN
- 1097-2765 (ISSN-L)
- PMC
- PMC4106038
- OpenAlex
- W2031022790
- Cited by
- 562
- References
- 54
- Citations by year
- 2026: 22 · 2025: 26 · 2024: 47 · 2023: 48 · 2022: 56 · 2021: 58 · 2020: 66 · 2019: 54 · 2018: 45 · 2017: 50 · 2016: 47 · 2015: 28 · 2014: 15
- FWCI
- 19.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Molecular Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Defense (W81XWH, W81XWH-13)
- Damon Runyon Cancer Research Foundation
- Cancer Research Coordinating Committee
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
- National Institutes of Health (W81XWH, CA121852)
- National Cancer Institute (U54-CA121852-09, U54CA121852, R01CA168653, R01CA188652, P30CA147882)
- National Institute of General Medical Sciences (T32GM007753, R01GM132106, T32GM007287)
- National Institute of Biomedical Imaging and Bioengineering (T32EB009380)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Redox biology and oxidative stress
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer and biochemical research
- Keywords
- NADPH metabolism, compartmentalized metabolism, mitochondrial metabolism, cytosolic metabolism, 2-hydroxyglutarate, isocitrate dehydrogenase, redox homeostasis, reducing power, metabolic pathway activity, mammalian cells
- MeSH terms
- Cytosol, Glucose, Glycine, Humans, Isocitrate Dehydrogenase, Mitochondria, NADP, Serine, Cell Line, Tumor, Metabolic Flux Analysis
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