The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Fatty acid metabolic reprogramming via mTOR-mediated inductions of PPARγ directs early activation of T cells
Open accessAbstract
To fulfil the bioenergetic requirements for increased cell size and clonal expansion, activated T cells reprogramme their metabolic signatures from energetically quiescent to activated. However, the molecular mechanisms and essential components controlling metabolic reprogramming in T cells are not well understood. Here, we show that the mTORC1–PPARγ pathway is crucial for the fatty acid uptake programme in activated CD4+ T cells. This pathway is required for full activation and rapid proliferation of naive and memory CD4+ T cells. PPARγ directly binds and induces genes associated with fatty acid uptake in CD4+ T cells in both mice and humans. The PPARγ-dependent fatty acid uptake programme is critical for metabolic reprogramming. Thus, we provide important mechanistic insights into the metabolic reprogramming mechanisms that govern the expression of key enzymes, fatty acid metabolism and the acquisition of an activated phenotype during CD4+ T cell activation.
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.
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
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
Smith-Garvin, J. E., Koretzky, G. A., & Jordan, M. S. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132706 · Cited by 2,144
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140
Cellular Fatty Acid Metabolism and Cancer
Currie, E., Schulze, A., Zechner, R., Walther, T. C., & Farese, R. V. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.05.017 · Cited by 2,123
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
PPARγ signaling and metabolism: the good, the bad and the future
Ahmadian, M., Suh, J. M., Hah, N., Liddle, C., Atkins, A. R., Downes, M., & Evans, R. M. (2013) · Nature Medicine · doi:10.1038/nm.3159 · Cited by 2,016
Shi, L. Z., Wang, R., Huang, G., Vogel, P., Neale, G., Green, D. R., & Chi, H. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20110278 · Cited by 1,803
Metabolic Pathways in Immune Cell Activation and Quiescence
Pearce, E. L., & Pearce, E. J. (2013) · Immunity · doi:10.1016/j.immuni.2013.04.005 · Cited by 1,692
Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1
Dang, E. V., Barbi, J., Yang, H.-Y., Jinasena, D., Yu, H., Zheng, Y., Bordman, Z., Fu, J., Kim, Y., Yen, H.-R., et al. (2011) · Cell · doi:10.1016/j.cell.2011.07.033 · Cited by 1,595
The CD28 Signaling Pathway Regulates Glucose Metabolism
Frauwirth, K. A., Riley, J. L., Harris, M. H., Parry, R. V., Rathmell, J. C., Plas, D. R., Elstrom, R. L., June, C. H., & Thompson, C. B. (2002) · Immunity · doi:10.1016/s1074-7613(02)00323-0 · Cited by 1,475
Cited by
The role of peroxisome proliferator-activated receptors (PPAR) in immune responses
Christofides, A., Konstantinidou, E., Jani, C., & Boussiotis, V. A. (2021) · Metabolism · doi:10.1016/j.metabol.2020.154338 · Cited by 720
Chowdhury, P. S., Chamoto, K., Kumar, A., & Honjo, T. (2018) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-18-0095 · Cited by 353
Immunity, Hypoxia, and Metabolism–the Ménage à Trois of Cancer: Implications for Immunotherapy
Riera-Domingo, C., Audigé, A., Granja, S., Cheng, W.-C., Ho, P.-C., Baltazar, F., Stockmann, C., & Mazzone, M. (2020) · Physiological Reviews · doi:10.1152/physrev.00018.2019 · Cited by 310
Fatty acid metabolism in the progression and resolution of CNS disorders
Bogie, J. F. J., Haidar, M., Kooij, G., & Hendriks, J. J. A. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.01.004 · Cited by 167
Complement as a regulator of adaptive immunity
Killick, J., Morisse, G., Sieger, D., & Astier, A. L. (2018) · Seminars in Immunopathology · doi:10.1007/s00281-017-0644-y · Cited by 129
Metadata
- Authors
- Angela, M., Endo, Y., Asou, H. K., Yamamoto, T., Tumes, D. J., Tokuyama, H., Yokote, K., & Nakayama, T.
- Venue
- Nature Communications
- Published
- 2016-11-30
- Volume
- 7
- Issue
- 1
- Pages
- 13683-13683
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2559233139
- Cited by
- 259
- References
- 18
- FWCI
- 10.08
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fatty acid metabolic reprogramming via mTOR-mediated inductions of PPARγ directs early activation of T cells. https://app.cochat.ai/papers/10.1038/ncomms13683
- The paper
- Angela, M., Endo, Y., Asou, H. K., Yamamoto, T., Tumes, D. J., Tokuyama, H., Yokote, K., & Nakayama, T. (2016). Fatty acid metabolic reprogramming via mTOR-mediated inductions of PPARγ directs early activation of T cells. Nature Communications. https://doi.org/10.1038/ncomms13683
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
