The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Srebp-controlled glucose metabolism is essential for NK cell functional responses
Open accessAbstract
Activated natural killer (NK) cells engage in a robust metabolic response that is required for normal effector function. Using genetic, pharmacological and metabolic analyses, we demonstrated an essential role for Srebp transcription factors in cytokine-induced metabolic reprogramming of NK cells that was independent of their conventional role in the control of lipid synthesis. Srebp was required for elevated glycolysis and oxidative phosphorylation and promoted a distinct metabolic pathway configuration in which glucose was metabolized to cytosolic citrate via the citrate-malate shuttle. Preventing the activation of Srebp or direct inhibition of the citrate-malate shuttle inhibited production of interferon-γ and NK cell cytotoxicity. Thus, Srebp controls glucose metabolism in NK cells, and this Srebp-dependent regulation is critical for NK cell effector function.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“More recently, it was demonstrated that the citrate–malate shuttle performs functions beyond that of an electron shuttle and, in fact, supports continuous citrate regeneration and TCA cycle intermediate homeostasis (119, 121).”
From Regulation and function of the mammalian tricarboxylic acid cycle (2023) · cites this paper as [119]
Citations
Cites
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci15593 · Cited by 4,794
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0215593 · Cited by 4,092
mTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity
Cheng, S.-C., Quintin, J., Cramer, R. A., Shepardson, K. M., Saeed, S., Kumar, V., Giamarellos-Bourboulis, E. J., Martens, J. H. A., Rao, N. A., Aghajanirefah, A., et al. (2014) · Science · doi:10.1126/science.1250684 · Cited by 2,224
Activation of a metabolic gene regulatory network downstream of mTOR complex 1
Düvel, K., Yecies, J. L., Menon, S., Raman, P., Lipovsky, A. I., Souza, A. L., Triantafellow, E., Ma, Q., Gorski, R., Cleaver, S., et al. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.06.022 · Cited by 2,020
Caligiuri, M. A. (2008) · Blood · doi:10.1182/blood-2007-09-077438 · Cited by 1,980
Fueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363
Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages
Huang, S. C., Everts, B., Ivanova, Y., O’Sullivan, D., Nascimento, M., Smith, A. M., Beatty, W. L., Love-Gregory, L. D., Lam, W. Y., O’Neill, C. M., et al. (2014) · Nature Immunology · doi:10.1038/ni.2956 · Cited by 1,256
Targeting natural killer cells in cancer immunotherapy
Guillerey, C., Huntington, N. D., & Smyth, M. J. (2016) · Nature Immunology · doi:10.1038/ni.3518 · Cited by 1,081
Global burden of cancer attributable to high body-mass index in 2012: a population-based study
Arnold, M., Pandeya, N., Byrnes, G. B., Renehan, A. G., Stevens, G. A., Ezzati, M., Ferlay, J., Miranda, J. J., Romieu, I., Dikshit, R. P., et al. (2014) · The Lancet Oncology · doi:10.1016/s1470-2045(14)71123-4 · Cited by 997
De novo fatty acid synthesis controls the fate between regulatory T and T helper 17 cells
Berod, L., Friedrich, C., Nandan, A., Freitag, J., Hagemann, S., Harmrolfs, K., Sandouk, A., Hesse, C., Castro, C. N., Bähre, H., et al. (2014) · Nature Medicine · doi:10.1038/nm.3704 · Cited by 927
Cited by
Sorted by citations
Metabolism of immune cells in cancer
Leone, R. D., & Powell, J. D. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-0273-y · Cited by 877
Natural killer cells in cancer biology and therapy
Wu, S.-Y., Fu, T., Jiang, Y.-Z., & Shao, Z.-M. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01238-x · Cited by 863
Lipid metabolism reprogramming and its potential targets in cancer
Cheng, C., Geng, F., Cheng, X., & Guo, D. (2018) · 癌症：英文版 · doi:10.1186/s40880-018-0301-4 · Cited by 880
Lipid metabolism in cancer: New perspectives and emerging mechanisms
Broadfield, L. A., Pane, A. A., Talebi, A., Swinnen, J. V., & Fendt, S. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.013 · Cited by 793
Redox regulation of the immune response
Morris, G., Gevezova, M., Sarafian, V. S., & Maes, M. H. J. (2022) · Cellular and Molecular Immunology · doi:10.1038/s41423-022-00902-0 · Cited by 628
Metadata
- Authors
- Assmann, N., O'Brien, K. L., Donnelly, R. P., Dyck, L., Zaiatz-Bittencourt, V., Loftus, R. M., Heinrich, P., Oefner, P. J., Lynch, L., Gardiner, C. M., Dettmer, K., & Finlay, D. K.
- Affiliations
- Trinity College Dublin (IE)
- University of Regensburg (DE)
- Corresponding author
- Finlay, David K
- ORCID
- Venue
- Nature Immunology
- Published
- 2017-09-18
- Volume
- 18
- Issue
- 11
- Pages
- 1197-1206
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W2755907400
- Cited by
- 375
- References
- 57
- Citations by year
- 2026: 35 · 2025: 54 · 2024: 37 · 2023: 44 · 2022: 53 · 2021: 57 · 2020: 45 · 2019: 25 · 2018: 21 · 2017: 4
- FWCI
- 11.74
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune Cell Function and Interaction
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Keywords
- natural killer cells, SREBP, glucose metabolism, metabolic reprogramming, glycolysis, oxidative phosphorylation, interferon-gamma, NK cell cytotoxicity, cytokine activation, antitumor immunity, viral infection
- MeSH terms
- Animals, Flow Cytometry, Glucose, Glycolysis, Humans, Killer Cells, Natural, Lipids, Oxidative Phosphorylation, Immunoblotting, T-Lymphocyte Subsets, Cytokines, Cell Proliferation, Sterol Regulatory Element Binding Protein 1, Sterol Regulatory Element Binding Protein 2
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
