The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Mitochondrial Priming by CD28
Open accessAbstract
SUMMARY T cell receptor (TCR) signaling without CD28 can elicit primary effector T cells, but memory T cells generated during this process are anergic, failing to respond to secondary antigen exposure. We show that upon T cell activation, CD28 transiently promotes expression of carnitine palmitoyltransferase 1a (Cpt1a), an enzyme that facilitates mitochondrial FAO, before the first cell division, coinciding with mitochondrial elongation and enhanced spare respiratory capacity (SRC). microRNA-33 (miR33), a target of thioredoxin-interacting protein (TXNIP), attenuates Cpt1a expression in the absence of CD28, resulting in cells that thereafter are metabolically compromised during reactivation or periods of increased bioenergetic demand. Early CD28-dependent mitochondrial engagement is needed for T cells to remodel cristae, develop SRC, and rapidly produce cytokines upon restimulation – cardinal features of protective memory T cells. Our data show that initial CD28 signals during T cell activation prime mitochondria with latent metabolic capacity essential for future 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
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
Chang, C.-H., Qiu, J., O’Sullivan, D., Buck, M. D., Noguchi, T., Curtis, J. D., Chen, Q., Gindin, M., Gubin, M. M., van der Windt, G. J. W., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.016 · Cited by 3,331
Self-citationThioredoxin-interacting protein links oxidative stress to inflammasome activation
Zhou, R., Tardivel, A., Thorens, B., Choi, I., & Tschopp, J. (2010) · Nature Immunology · doi:10.1038/ni.1831 · Cited by 2,708
Enhancing CD8 T-cell memory by modulating fatty acid metabolism
Pearce, E. L., Walsh, M. C., Cejas, P. J., Harms, G. M., Shen, H., Wang, L.-S., Jones, R. G., & Choi, Y. (2009) · Nature · doi:10.1038/nature08097 · Cited by 1,559
Self-citationThe 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
Cogliati, S., Frezza, C., Soriano, M. E., Varanita, T., Quintana-Cabrera, R., Corrado, M., Cipolat, S., Costa, V., Casarin, A., Gomes, L. C., et al. (2013) · Cell · doi:10.1016/j.cell.2013.08.032 · Cited by 1,265
Self-citationMetabolic Regulation of T Lymphocytes
MacIver, N. J., Michalek, R. D., & Rathmell, J. C. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095956 · Cited by 1,244
Inhibiting glycolytic metabolism enhances CD8+ T cell memory and antitumor function
Sukumar, M., Liu, J., Ji, Y., Subramanian, M., Crompton, J. G., Yu, Z., Roychoudhuri, R., Palmer, D. C., Muranski, P., Karoly, E. D., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci69589 · Cited by 952
CD28 Costimulation: From Mechanism to Therapy
Esensten, J. H., Helou, Y. A., Chopra, G., Weiss, A., & Bluestone, J. A. (2016) · Immunity · doi:10.1016/j.immuni.2016.04.020 · Cited by 937
A possible role for malonyl-CoA in the regulation of hepatic fatty acid oxidation and ketogenesis.
McGarry, J. D., Mannaerts, G. P., & Foster, D. W. (1977) · Journal of Clinical Investigation · doi:10.1172/jci108764 · Cited by 736
Rayner, K. J., Sheedy, F. J., Esau, C. C., Hussain, F. N., Temel, R. E., Parathath, S., van Gils, J. M., Rayner, A. J., Chang, A. N., Suarez, Y., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57275 · Cited by 690
Cited by
Navigating metabolic pathways to enhance antitumour immunity and immunotherapy
Li, X., Wenes, M., Romero, P., Huang, S. C.-C., Fendt, S.-M., & Ho, P.-C. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0203-7 · Cited by 733
Metabolic programming and immune suppression in the tumor microenvironment
Arner, E. N., & Rathmell, J. C. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.01.009 · Cited by 668
Understanding subset diversity in T cell memory
Jameson, S. C., & Masopust, D. (2018) · Immunity · doi:10.1016/j.immuni.2018.02.010 · Cited by 523
Metabolism as a guiding force for immunity
Jung, J., Zeng, H., & Horng, T. (2019) · Nature Cell Biology · doi:10.1038/s41556-018-0217-x · Cited by 346
Immunometabolic Interplay in the Tumor Microenvironment
Kaymak, I., Williams, K. S., Cantor, J. R., & Jones, R. G. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.09.004 · Cited by 328
Metadata
- Authors
- Klein Geltink, R. I., O’Sullivan, D., Corrado, M., Bremser, A., Buck, M. D., Buescher, J. M., Firat, E., Zhu, X., Niedermann, G., Caputa, G., Kelly, B., Warthorst, U., Rensing-Ehl, A., Kyle, R. L., Vandersarren, L., Curtis, J. D., Patterson, A. E., Lawless, S., Grzes, K., Qiu, J., Sanin, D. E., Kretz, O., Huber, T. B., Janssens, S., Lambrecht, B. N., Rambold, A. S., Pearce, E. J., & Pearce, E. L.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 171
- Issue
- 2
- Pages
- 385-397.e11
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2755712391
- Cited by
- 295
- References
- 16
- FWCI
- 11.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Mitochondrial Priming by CD28. https://app.cochat.ai/papers/10.1016/j.cell.2017.08.018
- The paper
- Klein Geltink, R. I., O’Sullivan, D., Corrado, M., Bremser, A., Buck, M. D., Buescher, J. M., Firat, E., Zhu, X., Niedermann, G., Caputa, G., Kelly, B., Warthorst, U., Rensing-Ehl, A., Kyle, R. L., Vandersarren, L., Curtis, J. D., Patterson, A. E., Lawless, S., Grzes, K., . . . Pearce, E. L. (2017). Mitochondrial Priming by CD28. Cell. https://doi.org/10.1016/j.cell.2017.08.018
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.