The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.
Integrating canonical and metabolic signalling programmes in the regulation of T cell responses
Open accessAbstract
Over the past decade, our understanding of T cell activation, differentiation and function has markedly expanded, providing a greater appreciation of the signals and pathways that regulate these processes. It has become clear that evolutionarily conserved pathways that regulate stress responses, metabolism, autophagy and survival have crucial and specific roles in regulating T cell responses. Recent studies suggest that the metabolic pathways involving MYC, hypoxia-inducible factor 1α (HIF1α), AMP-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR) are activated upon antigen recognition and that they are required for directing the consequences of T cell receptor engagement. The purpose of this Review is to provide an integrated view of the role of these metabolic pathways and of canonical T cell signalling pathways in regulating the outcome of T cell responses.
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
mTOR Signaling in Growth Control and Disease
Laplante, M., & Sabatini, D. M. (2012) · Cell · doi:10.1016/j.cell.2012.03.017 · Cited by 8,509
AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1
Kim, J., Kundu, M., Viollet, B., & Guan, K.-L. (2011) · Nature Cell Biology · doi:10.1038/ncb2152 · Cited by 7,227
Wang, G. L., Jiang, B. H., Rue, E. A., & Semenza, G. L. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.12.5510 · Cited by 6,212
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
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
AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint
Gwinn, D. M., Shackelford, D. B., Egan, D. F., Mihaylova, M. M., Mery, A., Vasquez, D. S., Turk, B. E., & Shaw, R. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.03.003 · Cited by 3,849
On Respiratory Impairment in Cancer Cells
Warburg, O. (1956) · Science · doi:10.1126/science.124.3215.269 · Cited by 3,468
Molecular mechanisms of T cell co-stimulation and co-inhibition
Chen, L., & Flies, D. B. (2013) · Nature Reviews Immunology · doi:10.1038/nri3405 · Cited by 3,114
The Rag GTPases Bind Raptor and Mediate Amino Acid Signaling to mTORC1
Sancak, Y., Peterson, T. R., Shaul, Y. D., Lindquist, R. A., Thoreen, C. C., Bar-Peled, L., & Sabatini, D. M. (2008) · Science · doi:10.1126/science.1157535 · Cited by 2,773
Cited by
CD69: from activation marker to metabolic gatekeeper
Cibrián, D., & Sánchez‐Madrid, F. (2017) · European Journal of Immunology · doi:10.1002/eji.201646837 · Cited by 948
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
Self-citationRegulation of innate immune cell function by mTOR
Weichhart, T., Hengstschläger, M., & Linke, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3901 · Cited by 830
Regulation of PD-L1: a novel role of pro-survival signalling in cancer.
Chen, J., Jiang, C. C., Jin, L., & Zhang, X. D. (2016) · Annals of Oncology · doi:10.1093/annonc/mdv615 · Cited by 767
Metabolites and the Tumour Microenvironment: From Cellular Mechanisms to Systemic Metabolism
Elia, I., & Haigis, M. C. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00317-z · Cited by 651
Metadata
- Authors
- Pollizzi, K. N., & Powell, J. D.
- Venue
- Nature Reviews Immunology
- Published
- 2014-06-25
- Volume
- 14
- Issue
- 7
- Pages
- 435-446
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W2046959528
- Cited by
- 379
- References
- 127
- FWCI
- 3.14
- Type
- journal article
- Language
- en
- Open access
- green
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: Integrating canonical and metabolic signalling programmes in the regulation of T cell responses. https://app.cochat.ai/papers/10.1038/nri3701
- The paper
- Pollizzi, K. N., & Powell, J. D. (2014). Integrating canonical and metabolic signalling programmes in the regulation of T cell responses. Nature Reviews Immunology. https://doi.org/10.1038/nri3701
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.