Cited by 367Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisBioinformatics and Genomic Networks

The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.

Understanding Metabolic Regulation and Its Influence on Cell Physiology

Open access

Metallo, Christian M., Vander Heiden, Matthew G.·2013·Molecular Cell

DOI 10.1016/j.molcel.2013.01.018PMC PMC3569837

Open this paper in CoChat — free account Open PDF

Abstract

Metabolism impacts all cellular functions and plays a fundamental role in biology. In the last century, our knowledge of metabolic pathway architecture and the genomic landscape of disease has increased exponentially. Combined with these insights, advances in analytical methods for quantifying metabolites and systems approaches to analyze these data now provide powerful tools to study metabolic regulation. Here we review the diverse mechanisms cells use to adapt metabolism to specific physiological states and discuss how metabolic flux analyses can be applied to identify important regulatory nodes to understand normal and pathological cell physiology.

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

Crossref · 10.1016/j.molcel.2013.01.018

Cites

100 of 100 references verified0 citation errors · 0 not checkable

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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
Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1
Tahiliani, M., Koh, K. P., Shen, Y., Pastor, W. A., Bandukwala, H., Brudno, Y., Agarwal, S., Iyer, L. M., Liu, D. R., Aravind, L., et al. (2009) · Science · doi:10.1126/science.1170116 · Cited by 5,836
Targeting of HIF-α to the von Hippel-Lindau Ubiquitylation Complex by O 2 -Regulated Prolyl Hydroxylation
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
Insulin signalling and the regulation of glucose and lipid metabolism
Saltiel, A. R., & Kahn, C. R. (2001) · Nature · doi:10.1038/414799a · Cited by 5,326
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
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 hypoxia-inducible factor (HIF) transcription factor complex a subunit is short when oxygen levels are high because the protein is hydroxylated by the EGLN proteins, recognized by the von Hippel Lindau E3 ubiquitin ligase, and targeted for degradation (Ivan et al., 2001; Jaakkola et al., 2001).”
Background
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
TSC2 Mediates Cellular Energy Response to Control Cell Growth and Survival
Inoki, K., Zhu, T., & Guan, K.-L. (2003) · Cell · doi:10.1016/s0092-8674(03)00929-2 · Cited by 3,914
HIF-1-mediated expression of pyruvate dehydrogenase kinase: A metabolic switch required for cellular adaptation to hypoxia
Kim, 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
C. elegans EGL-9 and mammalian homologs define a family of dioxygenases that regulate HIF by prolyl hydroxylation
Epstein, A. C. R., Gleadle, J. M., McNeill, L. A., Hewitson, K. S., O'Rourke, J., Mole, D. R., Mukherji, M., Metzen, E., Wilson, M. I., Dhanda, A., et al. (2001) · Cell · doi:10.1016/s0092-8674(01)00507-4 · Cited by 3,333

Flagged first, then by citations

Show all 100 references

Sorted by citations

Items 101–200 of 367

Redox regulation and pro-oxidant reactions in the physiology of circadian systems
Méndez, I. G., Martínez, O. V., Hernández-Muñoz, R. E., Valente‐Godínez, H., & Díaz‐Muñoz, M. (2015) · Biochimie · doi:10.1016/j.biochi.2015.04.014 · Cited by 41
Hyperpolarized 13C Magnetic Resonance and Its Use in Metabolic Assessment of Cultured Cells and Perfused Organs
Lumata, L., Yang, C., Ragavan, M., Carpenter, N., DeBerardinis, R. J., & Merritt, M. E. (2015) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2015.04.006 · Cited by 42
Untargeted LC-MS-based metabonomics revealed that aristolochic acid I induces testicular toxicity by inhibiting amino acids metabolism, glucose metabolism, β-oxidation of fatty acids and the TCA cycle in male mice
Cui, Y., Han, J., Ren, J., Chen, H.-M., Xu, B., Song, N., Li, H., Liang, A., & Shen, G. (2019) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2019.04.014 · Cited by 41
Oxidative phosphorylation in bone cells
Sabini, E., Arboit, L., Khan, M. P., Lanzolla, G., & Schipani, E. (2023) · Bone Reports · doi:10.1016/j.bonr.2023.101688 · Cited by 44
Dermal adipocytes contribute to the metabolic regulation of dermal fibroblasts
Zhang, Z., Kruglikov, I. L., Zhao, S., Zi, Z., Gliniak, C. M., Li, N., Wang, M.-Y., Zhu, Q., Kusminski, C. M., & Scherer, P. E. (2020) · Experimental Dermatology · doi:10.1111/exd.14181 · Cited by 39
The metabolic response to excitotoxicity – lessons from single-cell imaging
Connolly, N. M. C., & Prehn, J. H. M. (2014) · Journal of Bioenergetics and Biomembranes · doi:10.1007/s10863-014-9578-4 · Cited by 42
Phosphorylation of OXPHOS Machinery Subunits: Functional Implications in Cell Biology and Disease.
Castellanos, E., & Lanning, N. J. (2019) · Europe PMC (PubMed Central) · Cited by 38
CDCA2 protects against oxidative stress by promoting BRCA1–NRF2 signaling in hepatocellular carcinoma
Wang, S., Cao, K., Liao, Y. A., Zhang, W., Zheng, J., Li, X., Huang, M., Zhong, Y., Hu, X., Chen, D., et al. (2021) · Oncogene · doi:10.1038/s41388-021-01855-w · Cited by 38
Thioredoxin and glutaredoxin regulate metabolism through different multiplex thiol switches
López-Grueso, M. J., González, R., Requejo-Aguilar, R., McDonagh, B., Fuentes-Almagro, C. A., Muntané, J., Bárcena, J. A., & Padilla, C. A. (2018) · Redox Biology · doi:10.1016/j.redox.2018.11.007 · Cited by 37
The Destiny of Glucose from a MicroRNA Perspective
Mirra, P., Nigro, C., Prevenzano, I., Leone, A., Raciti, G. A., Formisano, P., Bèguinot, F., & Miele, C. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00046 · Cited by 40
The Signalling Effects of Photobiomodulation on Osteoblast Proliferation, Maturation and Differentiation: A Review
Crous, A., & Abrahamse, H. (2021) · Stem Cell Reviews and Reports · doi:10.1007/s12015-021-10142-w · Cited by 38
FRET‐based imaging of intracellular ATP in organotypic brain slices
Lerchundi, R., Kafitz, K. W., Winkler, U., Färfers, M., Hirrlinger, J., & Rose, C. R. (2018) · Journal of Neuroscience Research · doi:10.1002/jnr.24361 · Cited by 34
Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics
Liu, R., Zhang, G., Sun, M., Pan, X., & Yang, Z. (2019) · Analytica Chimica Acta · doi:10.1016/j.aca.2019.03.006 · Cited by 35
Development of simultaneous targeted metabolite quantification and untargeted metabolomics strategy using dual-column liquid chromatography coupled with tandem mass spectrometry
Gao, Y., Chen, Y., Yue, X., He, J., Zhang, R., Xu, J., Zhou, Z., Wang, Z., Zhang, R., & Abliz, Z. (2018) · Analytica Chimica Acta · doi:10.1016/j.aca.2018.08.042 · Cited by 35
TCF19 and p53 regulate transcription of TIGAR and SCO2 in HCC for mitochondrial energy metabolism and stress adaptation
Mondal, P., Gadad, S. S., Adhikari, S., Ramos, E., Sen, S., Prasad, P., & Das, C. (2021) · The FASEB Journal · doi:10.1096/fj.202002486rr · Cited by 35
A counter-enzyme complex regulates glutamate metabolism in Bacillus subtilis
Jayaraman, V., Lee, D. J., Elad, N., Vimer, S., Sharon, M., Fraser, J. S., & Tawfik, D. S. (2021) · Nature Chemical Biology · doi:10.1038/s41589-021-00919-y · Cited by 34
Synovial fluid as a complex molecular pool contributing to knee osteoarthritis
Peters, H., Rockel, J. S., Little, C. B., & Kapoor, M. (2025) · Nature Reviews Rheumatology · doi:10.1038/s41584-025-01271-4 · Cited by 36
A piggybacking mechanism enables peroxisomal localization of the glyoxylate cycle enzyme Mdh2 in yeast
Gabay-Maskit, S., Cruz‐Zaragoza, L. D., Shai, N., Eisenstein, M., Bibi, C., Cohen, N., Hansen, T., Yifrach, E., Harpaz, N., Belostotsky, R., et al. (2020) · Journal of Cell Science · doi:10.1242/jcs.244376 · Cited by 32
The effects of 3D culture on the expansion and maintenance of nucleus pulposus progenitor cell multipotency
Guerrero, J., Häckel, S., Croft, A. S., Albers, C. E., & Gantenbein, B. (2020) · JOR Spine · doi:10.1002/jsp2.1131 · Cited by 32
A precision therapeutic strategy for hexokinase 1-null, hexokinase 2-positive cancers
Xu, S., Catapang, A. B., Braas, D., Stiles, L., Doh, H. M., Lee, J. T., Graeber, T. G., Damoiseaux, R. D., Shirihai, O. S., & Herschman, H. R. (2018) · Cancer & Metabolism · doi:10.1186/s40170-018-0181-8 · Cited by 33
C/VDdb: A multi-omics expression profiling database for a knowledge-driven approach in cardiovascular disease (CVD)
Fernandes, M., Patel, A., & Husi, H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207371 · Cited by 32
Altered Energy Metabolism During Early Optic Nerve Crush Injury: Implications of Warburg-Like Aerobic Glycolysis in Facilitating Retinal Ganglion Cell Survival
Zhu, J., Li, P., Zhou, Y., & Ye, J. (2020) · Neuroscience Bulletin · doi:10.1007/s12264-020-00490-x · Cited by 33
Microbial Biosensors as Pesticide Detector: An Overview
Aynalem, B., & Muleta, D. (2021) · Journal of Sensors · doi:10.1155/2021/5538857 · Cited by 31
Simultaneous ultrasensitive ADP and ATP quantification based on CRISPR/Cas12a integrated ZIF-90@Ag3AuS2@Fe3O4 nanocomposites
Wang, Y., Zhang, D., Zeng, Y., Sun, Y., & Qi, P. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114784 · Cited by 31
Isotope labeling to determine the dynamics of metabolic response in CHO cell perfusion bioreactors using MALDI‐TOF‐MS
Karst, D. J., Steinhoff, R., Kopp, M. R. G., Šoóš, M., Zenobi, R., & Morbidelli, M. (2017) · Biotechnology Progress · doi:10.1002/btpr.2539 · Cited by 30
Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives
Mirveis, Z., Howe, O. L., Cahill, P. A., Patil, N., & Byrne, H. J. (2023) · Metabolomics · doi:10.1007/s11306-023-02031-9 · Cited by 35
HIF1α-dependent uncoupling of glycolysis suppresses tumor cell proliferation
Urrutia, A. A., Mesa‐Ciller, C., Guajardo-Grence, A., Alkan, H. F., Soro-Arnáiz, I., Vandekeere, A., Campos, A. M. F., Igelmann, S., Fernández-Arroyo, L., Rinaldi, G., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114103 · Cited by 31
Sorbitol dehydrogenase induction of cancer cell necroptosis and macrophage polarization in the HCC microenvironment suppresses tumor progression
Lee, S., Kim, S., Song, Y., Kim, N., No, J.-H., Kim, K. M., & Seo, H. R. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.215960 · Cited by 30
Alteration of hepato-lipidomic homeostasis in A/J mice fed an environmentally relevant PFAS mixture
Khan, E. A., Grønnestad, R., Krøkje, Å., Bartosov, Z., Johanson, S. M., Müller, M. H. B., & Arukwe, A. (2023) · Environment International · doi:10.1016/j.envint.2023.107838 · Cited by 31
Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches
Lagziel, S., Lee, W. D., & Shlomi, T. (2019) · BMC Biology · doi:10.1186/s12915-019-0669-x · Cited by 31
Transduction Process‐Based Classification of Biosensors
Yang, F., Ma, Y., Stanciu, S. G., & Wu, A. (2020) · Wiley eBooks · doi:10.1002/9783527345137.ch2 · Cited by 29
Pyruvate dehydrogenase phosphatase 1 ( PDP1 ) stimulates HIF activity by supporting histone acetylation under hypoxia
Karagiota, A., Kanoura, A., Paraskeva, E., Simos, G., & Chachami, G. (2022) · FEBS Journal · doi:10.1111/febs.16694 · Cited by 30
Enzymatic passaging of human embryonic stem cells alters central carbon metabolism and glycan abundance
Badur, M. G., Zhang, H., & Metallo, C. M. (2015) · Biotechnology Journal · doi:10.1002/biot.201400749 · Cited by 27
Imaging regiospecific lipid turnover in mouse brain with desorption electrospray ionization mass spectrometry
Carson, R. H., Lewis, C. R., Erickson, M. N., Zagieboylo, A. P., Naylor, B. C., Li, K. W., Farnsworth, P. B., & Price, J. C. (2017) · Journal of Lipid Research · doi:10.1194/jlr.m078170 · Cited by 28
Cell Wall N-Linked Mannoprotein Biosynthesis Requires Goa1p, a Putative Regulator of Mitochondrial Complex I in Candida albicans
She, X., Calderone, R., Kruppa, M., Lowman, D., Williams, D., Zhang, L., Gao, Y., Khamooshi, K., Liu, W., & Li, D. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147175 · 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
Investigation of the oxidation rules and oxidative stability of seabuckthorn fruit oil during storage based on lipidomics and metabolomics
Li, Y., Wan, Y., Wang, J., Zhang, X., Leng, Y.-Y., Wang, T., Liu, W., & Wei, C. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.143238 · Cited by 26
Cycles, sources, and sinks: Conceptualizing how phosphate balance modulates carbon flux using yeast metabolic networks
Gupta, R., & Laxman, S. (2021) · eLife · doi:10.7554/elife.63341 · Cited by 26
Critical roles and clinical perspectives of RNA methylation in cancer
Li, G., Yao, Q., Liu, P., Zhang, H., Liu, Y., Li, S., Shi, Y., Li, Z., & Zhu, W. (2024) · MedComm · doi:10.1002/mco2.559 · Cited by 29
Metabolomics: A Microbial Physiology and Metabolism Perspective
Joshua, C. J. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8757-3_3 · Cited by 25
Metabolism of Stem and Progenitor Cells: Proper Methods to Answer Specific Questions
Martano, G., Borroni, E. M., Lopci, E., Cattaneo, M. G., Mattioli, M., Bachi, A., Decimo, I., & Bifari, F. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00151 · Cited by 24
Glycolytic Switch in Response to Betulinic Acid in Non-Cancer Cells
Heiß, E. H., Kramer, M. P., Atanasov, A. G., Beres, H., Schachner, D., & Dirsch, V. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115683 · Cited by 26
Combined Analysis of NMR and MS Spectra (CANMS)
Chong, M., Jayaraman, A., Marín, S., Selivanov, V. A., de Atauri, P., Tennant, D. A., Cascante, M., Günther, U. L., & Ludwig, C. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201611634 · Cited by 25
First evaluation of the effect of microorganisms on steady state hydroxyl radical concentrations in atmospheric waters
Lallement, A., Vinatier, V., Brigante, M., Deguillaume, L., Delort, A. M., & Mailhot, G. (2018) · Chemosphere · doi:10.1016/j.chemosphere.2018.08.128 · Cited by 24
Glycoproteogenomics: Setting the Course for Next-Generation Cancer Neoantigen Discovery for Cancer Vaccines
Ferreira, J. A., Relvas‐Santos, M., Peixoto, A., Silva, A. M. N., & Santos, L. L. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.03.005 · Cited by 23
The prowess of metabolomics in cancer research: current trends, challenges and future perspectives
Taunk, K., Jajula, S., Bhavsar, P. P., Choudhari, M., Bhanuse, S. G., Tamhankar, A. S., Naiya, T., Kalita, B., & Rapole, S. (2024) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-024-05041-w · Cited by 24
Metabolic Rewiring in the Face of Genomic Assault: Integrating DNA Damage Response and Cellular Metabolism
Ma, W., & Zhou, S. (2025) · Biomolecules · doi:10.3390/biom15020168 · Cited by 31
RIP140 inhibits glycolysis-dependent proliferation of breast cancer cells by regulating GLUT3 expression through transcriptional crosstalk between hypoxia induced factor and p53
Jacquier, V., Gitenay, D., Fritsch, S., Bonnet, S., Győrffy, B., Jalaguier, S., Linares, L. K., Cavaillès, V., & Teyssier, C. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04277-3 · Cited by 23
In vitro antimicrobial, anticancer evaluation, and in silico studies of mannopyranoside analogs against bacterial and fungal proteins: Acylation leads to improved antimicrobial activity
Hossain, M. A., Sultana, S., Alanazi, M. M., Hadni, H., Bhat, A. R., Hasan, I., & Kawsar, S. M. A. (2024) · Saudi Pharmaceutical Journal · doi:10.1016/j.jsps.2024.102093 · Cited by 23
Targeted metabolic profiling of wounds in diabetic and nondiabetic mice
Sood, R. F., Gu, H., Djukovic, D., Deng, L., Ga, M., Muffley, L. A., Raftery, D., & Hocking, A. M. (2015) · Wound Repair and Regeneration · doi:10.1111/wrr.12299 · Cited by 22
Immunometabolism in Arthropod Vectors: Redefining Interspecies Relationships
Samaddar, S., Marnin, L., Butler, L. R., & Pedra, J. H. F. (2020) · Trends in Parasitology · doi:10.1016/j.pt.2020.07.010 · Cited by 21
Fructose Alters Intermediary Metabolism of Glucose in Human Adipocytes and Diverts Glucose to Serine Oxidation in the One–Carbon Cycle Energy Producing Pathway
Varma, V., Boros, L. G., Nolen, G. T., Chang, C., Wabitsch, M., Beger, R. D., & Kaput, J. (2015) · Metabolites · doi:10.3390/metabo5020364 · Cited by 21
Endometrial pyruvate kinase M2 is essential for decidualization during early pregnancy
Su, Y., Guo, S., Liu, C., Li, N., Zhang, S., Ding, Y., Chen, X., He, J., Liu, X., Wang, Y., et al. (2020) · Journal of Endocrinology · doi:10.1530/joe-19-0553 · Cited by 21
Comprehensive Metabolic Profiling of MYC-Amplified Medulloblastoma Tumors Reveals Key Dependencies on Amino Acid, Tricarboxylic Acid and Hexosamine Pathways
Pham, K., Hanaford, A. R., Poore, B., Maxwell, M. J., Sweeney, H., Parthasarathy, A., Alt, J., Rais, R., Slusher, B. S., Eberhart, C. G., et al. (2022) · Cancers · doi:10.3390/cancers14051311 · Cited by 21
Molecular pathways in cardiovascular disease under hypoxia: Mechanisms, biomarkers, and therapeutic targets
Abdullaev, I., Gayibov, U., Omonturdiev, S., Fotima, S., Gayibova, S., & Aripov, T. (2025) · Journal of Biomedical Research · doi:10.7555/jbr.38.20240387 · Cited by 24
Introduction: The Origin, Current Status, and Future of Microfluidics
Lei, K. F. (2018) · doi:10.1002/9783527800643.ch1 · Cited by 19
Examining some of the Challenges that Students Face in Learning about Metabolic Pathways in a Traditional Biochemistry Course
Salame, I. I., Abid, M., & Simms, S. A. (2022) · International Journal of Instruction · doi:10.29333/iji.2022.15416a · Cited by 18
Electro-metabolic signaling
Longden, T. A., & Lederer, W. J. (2023) · The Journal of General Physiology · doi:10.1085/jgp.202313451 · Cited by 19
Extracellular Vesicles in Metabolism and Metabolic Diseases
Marzan, A. L., Nedeva, C., & Mathivanan, S. (2021) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-3-030-67171-6_15 · Cited by 18
The human endogenous metabolome as a pharmacology baseline for drug discovery
Bofill, A., Jalencas, X., Oprea, T. I., & Mestres, J. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.06.007 · Cited by 17
Citrate synthase from Cyanidioschyzon merolae exhibits high oxaloacetate and acetyl-CoA catalytic efficiency
Nishii, M., Ito, S., & Osanai, T. (2023) · Plant Molecular Biology · doi:10.1007/s11103-023-01335-7 · Cited by 16
The neglected foodborne mycotoxin Fusaric acid induces bioenergetic adaptations by switching energy metabolism from mitochondrial processes to glycolysis in a human liver (HepG2) cell line
Abdul, N. S., Nagiah, S., & Chuturgoon, A. A. (2019) · Toxicology Letters · doi:10.1016/j.toxlet.2019.10.013 · Cited by 17
Simultaneous Quantification of the Concentration and Carbon Isotopologue Distribution of Polar Metabolites in a Single Analysis by Gas Chromatography and Mass Spectrometry
Evers, B., Gerding, A., Boer, T. S., Heiner-Fokkema, M. R., Jalving, M., Wahl, A., Reijngoud, D., & Bakker, B. M. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c01040 · Cited by 17
Staphylococcus aureus protein A causes osteoblasts to hyper-mineralise in a 3D extra-cellular matrix environment
Kavanagh, N., O’Brien, F. J., & Kerrigan, S. W. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198837 · Cited by 17
The Regulation of Metabolic Homeostasis by Incretins and the Metabolic Hormones Produced by Pancreatic Islets
Reed, J., Bain, S. C., & Kanamarlapudi, V. (2024) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s415934 · Cited by 21
Metabolic and Evolutionary Engineering of Food Yeasts
Dagariya, S., Bhatankar, J., Dakal, T. C., Gadi, B. R., & Giudici, P. (2025) · Processes · doi:10.3390/pr13061852 · Cited by 16
Cellular metabolism: a link connecting cellular behaviour with the physiochemical properties of biomaterials for bone tissue engineering
Chaudhary, S., Ghosal, D., Tripathi, P., & Kumar, S. (2023) · Biomaterials Science · doi:10.1039/d2bm01410f · Cited by 17
Protein‐Metabolite Interactions: Discovery and Significance
Dixit, A., & Kalia, J. (2023) · ChemBioChem · doi:10.1002/cbic.202200755 · Cited by 16
Specific activity of mouse liver desaturases and elongases: Time course effects using n-3 and n-6 PUFA substrates and inhibitory responses of delta-6 desaturase
Valenzuela, R., Metherel, A. H., Cisbani, G., Smith, M. E., Chouinard‐Watkins, R., Klievik, B. J., Farías, C., Videla, L. A., & Bazinet, R. P. (2025) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2025.159594 · Cited by 16
Fast exchange fluxes around the pyruvate node: a leaky cell model to explain the gain and loss of unlabelled and labelled metabolites in a tracer experiment
Quek, L., Liu, M., Joshi, S., & Turner, N. A. (2016) · Cancer & Metabolism · doi:10.1186/s40170-016-0153-9 · Cited by 16
Mutual information upper bound of molecular communication based on cell metabolism
Pierobon, M., Sakkaff, Z., Catlett, J. L., & Buan, N. R. (2016) · IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) · doi:10.1109/spawc.2016.7536835 · Cited by 15
Signatures of cell stress and altered bioenergetics in skin fibroblasts from patients with multiple sclerosis
Wilkins, J. M., Gakh, O., Kabiraj, P., McCarthy, C. B., Tobin, W. O., Howe, C. L., & Lucchinetti, C. F. (2020) · Aging · doi:10.18632/aging.103612 · Cited by 13
Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy
Corral‐Jara, K. F., da Silva, G. R., Fierro, N. A., & Soumelis, V. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.675099 · Cited by 16
Rewiring Mitochondrial Pyruvate Metabolism: Switching Off the Light in Cancer Cells?
Szlosarek, P. W., Lee, S., & Pollard, P. J. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.10.018 · Cited by 15
Circadian and Metabolic Perspectives in the Role Played by NADPH in Cancer
Méndez, I. G., & Díaz‐Muñoz, M. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00093 · Cited by 15
Biological systems modeling of metabolic and signaling networks
Wayman, J. A., & Varner, J. D. (2013) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2013.09.001 · Cited by 15
BRANEnet: embedding multilayer networks for omics data integration
Jagtap, S., Pirayre, A., Bidard, F., Duval, L. C., & Malliaros, F. D. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04955-w · Cited by 15
All roads lead to Rome: inter-origin variation in metabolomics reprogramming of the northern shrimp exposed to global changes leads to a comparable physiological status
Guscelli, E., Chabot, D., Vermandele, F., Madeira, D., & Calosi, P. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1170451 · Cited by 16
Convergence in organ size but not energy metabolism enzyme activities among wild Lake Whitefish (Coregonus clupeaformis) species pairs
Dalziel, A. C., Laporte, M., Rougeux, C., Guderley, H., & Bernatchez, L. (2016) · Molecular Ecology · doi:10.1111/mec.13847 · Cited by 15
Tracing insights into human metabolism using chemical engineering approaches
Cordes, T., & Metallo, C. M. (2016) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2016.08.019 · Cited by 14
Untargeted metabolomics based on ultra-high performance liquid chromatography-mass spectrometry/MS reveals the lipid-lowering mechanism of taurine in hyperlipidemia mice
Guo, X., Ou, T., Yang, X., Song, Q., Zhu, L., Mi, S., Zhang, J., Zhang, Y., Chen, W., & Guo, J. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1367589 · Cited by 13
Proteomic Analysis Reveals Anti‐Fibrotic Effects of Blue Light Photobiomodulation on Fibroblasts
Chang, L., Fan, S. M., Liao, Y., Wang, W., Chen, Y., & Lin, S. (2019) · Lasers in Surgery and Medicine · doi:10.1002/lsm.23137 · Cited by 13
Contribution of mitochondria to injury of hepatocytes and liver tissue by hyperthermia
Žūkienė, R., Naučienė, Z., Šilkūnienė, G., Vanagas, T., Gulbinas, A., Zimkus, A., & Mildažienė, V. (2017) · Medicina · doi:10.1016/j.medici.2017.01.001 · Cited by 13
Omics Insights into Metabolic Stress and Resilience of Rats in Response to Short‐term Fructose Overfeeding
Li, K., Yuan, M., He, Z., Wu, Q., Zhang, C., Lei, Z., Rong, X., Huang, Z., Turnbull, J. E., & Guo, J. (2019) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900773 · Cited by 13
Bioenergetic Heterogeneity in Mycobacterium tuberculosis Residing in Different Subcellular Niches
Akela, A. K., & Kumar, A. (2021) · mBio · doi:10.1128/mbio.01088-21 · Cited by 18
Circadian Control of Protein Synthesis
James, N. R., & O'Neill, J. S. (2024) · BioEssays · doi:10.1002/bies.202300158 · Cited by 11
A Narrative Review of Prognostic Gene Signatures in Oral Squamous Cell Carcinoma Using LASSO Cox Regression
Faizal, N. F. M., Shai, S., Savaliya, B., Karen‐Ng, L. P., Kumari, R., Kumar, R., & Vincent–Chong, V. K. (2025) · Biomedicines · doi:10.3390/biomedicines13010134 · Cited by 12
Covariation MS uncovers a protein that controls cysteine catabolism
Xiao, H., Ordonez, M., Fink, E. C., Covington, T. A., Woldemichael, H. B., Chen, J., Jain, M. S., Rohatgi, M. H., Wei, S. M., Burger, N., et al. (2025) · Nature · doi:10.1038/s41586-025-09535-5 · Cited by 14
Inflexibility of the plasma miRNA response following a high-carbohydrate meal in overweight insulin-resistant women
Ramzan, F., D’Souza, R. F., Durainayagam, B. R., Milan, A. M., Roy, N. C., Kruger, M. C., Henry, C. J., Mitchell, C. J., & Cameron‐Smith, D. (2020) · Genes & Nutrition · doi:10.1186/s12263-020-0660-8 · Cited by 12
End-to-end molecular communication channels in cell metabolism
Sakkaff, Z., Catlett, J. L., Cashman, M., Pierobon, M., Buan, N. R., Cohen, M. B., & Kelley, C. A. (2017) · ACM International Conference on Nanoscale Computing and Communication (NANOCOM) · doi:10.1145/3109453.3109474 · Cited by 12
Examining Targeted Protein Degradation from Physiological and Analytical Perspectives: Enabling Translation between Cells and Subjects
Daurio, N. A., Zhou, H., Chen, Y., Sheth, P. R., Imbriglio, J. E., McLaren, D. G., Tawa, P., Rachdaoui, N., Previs, M. J., Kasumov, T., et al. (2020) · ACS Chemical Biology · doi:10.1021/acschembio.0c00380 · Cited by 12
Linoleic acid, mitochondria, gut microbiome, and metabolic health: a mechanistic review
Mercola, J. M. (2025) · Advances in Redox Research · doi:10.1016/j.arres.2025.100128 · Cited by 11
A novel insight for high-rate and low-efficiency glucose metabolism in depression through stable isotope-resolved metabolomics in CUMS-induced rats
Tian, J., Zhao, Y.-H., Linghu, T., Wu, W., Wang, X., Ji, C., Zhao, W., Han, Y., & Qin, X. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.03.061 · Cited by 11
Changes in Brain Energy and Membrane Metabolism in Glioblastoma following Chemoradiation
Grams, A. E., Mangesius, S., Steiger, R., Radović, I., Rietzler, A., Walchhofer, L. M., Galijašević, M., Mangesius, J., Nowosielski, M., Freyschlag, C. F., et al. (2021) · Current Oncology · doi:10.3390/curroncol28060424 · Cited by 11
Transcriptomic Analysis of Colorectal Cancer Cells Treated with Oil Production Waste Products (OPWPs) Reveals Enrichment of Pathways of Mitochondrial Functionality
Leo, M., Muccillo, L., Pranzini, E., Barisciano, G., Parri, M., Lopatriello, G., Carlomagno, M., Santi, A., Taddei, M. L., & Sabatino, L. (2022) · Cells · doi:10.3390/cells11243992 · Cited by 12
Light-driven release of 6PPD and formation of 6PPD-Q from tire and road wear particles: Mechanisms and cytotoxicity
Zhang, D., Yin, B., Zhang, W., Wei, S., Zhang, P., Su, T., Liu, Y., Tang, X., Wang, H., Yang, C., et al. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.140224 · Cited by 11
Attitude of Jordanian Physicians toward Biochemistry and Genetics
Alfaqih, M. A., Khader, Y. S., Bashir, N. A., Nusair, Z., Nuseir, Q., & Nusier, M. K. (2019) · BioMed Research International · doi:10.1155/2019/3176951 · Cited by 10
Krebs and an alternative TCA cycle!
Doan, M. T., & Teitell, M. A. (2022) · Cell Research · doi:10.1038/s41422-022-00664-4 · Cited by 10
Nitric oxide modulates NMDA receptor through a negative feedback mechanism and regulates the dynamical behavior of neuronal postsynaptic components
Sharma, B., Koren, D. T., & Ghosh, S. (2023) · Biophysical Chemistry · doi:10.1016/j.bpc.2023.107114 · Cited by 9
Correcting for Naturally Occurring Mass Isotopologue Abundances in Stable-Isotope Tracing Experiments with PolyMID
Jeong, H., Yu, Y., Johansson, H. J., Schroeder, F. C., Lehtiö, J., & Vacanti, N. M. (2021) · Metabolites · doi:10.3390/metabo11050310 · Cited by 10

Authors: Metallo, C. M., & Vander Heiden, M. G.
Affiliations: University of California San Diego (US)
Corresponding author: Metallo, Christian M.
ORCID: Metallo, Christian M.
Venue: Molecular Cell
Publisher: Elsevier BV
Published: 2013-02
Volume: 49
Issue: 3
Pages: 388-398
ISSN: 1097-2765 (ISSN-L)
DOI: 10.1016/j.molcel.2013.01.018
PMC: PMC3569837
OpenAlex: W2024399152
Cited by: 367
References: 100
Citations by year: 2026: 26 · 2025: 39 · 2024: 36 · 2023: 24 · 2022: 25 · 2021: 37 · 2020: 35 · 2019: 31 · 2018: 25 · 2017: 16 · 2016: 19 · 2015: 24 · 2014: 23 · 2013: 6
FWCI: 2.26
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 371 d)
Locations: Molecular Cell (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders: American Cancer Society (70-002)
Damon Runyon Cancer Research Foundation
Richard and Susan Smith Family Foundation
Burroughs Wellcome Fund
National Cancer Institute
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords: metabolic regulation, cell physiology, metabolic flux analysis, metabolic adaptation, metabolite quantification, metabolic disorders
MeSH terms: Animals, Cell Physiological Phenomena, Cells, Glycolysis, Humans, Models, Biological, 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

Understanding Metabolic Regulation and Its Influence on Cell Physiology

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks