The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
The cytotoxic T cell proteome and its shaping by the kinase mTOR
Open accessAbstract
We used high-resolution mass spectrometry to map the cytotoxic T lymphocyte (CTL) proteome and the effect of the metabolic checkpoint kinase mTORC1 on CTLs. The CTL proteome was dominated by metabolic regulators and granzymes, and mTORC1 selectively repressed and promoted expression of a subset of CTL proteins (~10%). These included key CTL effector molecules, signaling proteins and a subset of metabolic enzymes. Proteomic data highlighted the potential for negative control of the production of phosphatidylinositol (3,4,5)-trisphosphate (PtdIns(3,4,5)P3) by mTORC1 in CTLs. mTORC1 repressed PtdIns(3,4,5)P3 production and determined the requirement for mTORC2 in activation of the kinase Akt. Our unbiased proteomic analysis thus provides comprehensive understanding of CTL identity and the control of CTL function by mTORC1.
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Previous studies have revealed poor mRNA–protein correlation in T cells regardless of functional status23–25”
From Proteotoxic stress response drives T cell exhaustion and immune evasion (2025) · cites this paper as [23]
Experimental — accuracy not yet measured
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
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex
Sarbassov, D. D., Guertin, D. A., Ali, S. M., & Sabatini, D. M. (2005) · Science · doi:10.1126/science.1106148 · Cited by 6,216
Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
Alessi, D. R., James, S. R., Downes, C. P., Holmes, A. B., Gaffney, P. R. J., Reese, C. B., & Cohen, P. (1997) · Current Biology · doi:10.1016/s0960-9822(06)00122-9 · Cited by 2,874
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
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
The Immunological Genome Project: networks of gene expression in immune cells
The Immunological Genome Project Consortium, Heng, T. S. P., Painter, M. W., Elpek, K., Lukacs-Kornek, V., Mauermann, N., Turley, S. J., Koller, D., Kim, F. S., Wagers, A. J., et al. (2008) · Nature Immunology · doi:10.1038/ni1008-1091 · Cited by 1,864
Cited by
Sorted by citations
Signaling and Function of Interleukin-2 in T Lymphocytes
Ross, S. H., & Cantrell, D. A. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053352 · Cited by 1,025
Self-citationUnraveling the Complex Interplay Between T Cell Metabolism and Function
Geltink, R. I. K., Kyle, R. L., & Pearce, E. L. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053019 · Cited by 849
Redox regulation of immunometabolism
Muri, J., & Köpf, M. (2020) · Nature reviews. Immunology · doi:10.1038/s41577-020-00478-8 · Cited by 519
Metabolic pathways in T cell activation and lineage differentiation
Almeida, L., Lochner, M., Berod, L., & Sparwasser, T. D. (2016) · Seminars in Immunology · doi:10.1016/j.smim.2016.10.009 · Cited by 492
Myeloid Cell-Derived Arginase in Cancer Immune Response
Grzywa, T. M., Sosnowska, A., Matryba, P., Rydzyńska, Z., Jasiński, M., Nowis, D., & Gołąb, J. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00938 · Cited by 446
Polyamines and eIF5A Hypusination Modulate Mitochondrial Respiration and Macrophage Activation
Puleston, D. J., Buck, M. D., Geltink, R. I. K., Kyle, R. L., Caputa, G., O’Sullivan, D., Cameron, A. M., Castoldi, Â., Musa, Y., Kabat, A. M., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.003 · Cited by 385
Self-citationTan, H., Yang, K., Li, Y., Shaw, T. I., Wang, Y., Blanco, D. B., Wang, X., Cho, J.-H., Wang, H., Rankin, S., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.02.010 · Cited by 372
PI3Kδ and primary immunodeficiencies
Lucas, C. L., Chandra, A., Nejentsev, S., Condliffe, A. M., & Okkenhaug, K. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.93 · Cited by 342
Polyamines control eIF5A hypusination, TFEB translation, and autophagy to reverse B cell senescence
Zhang, H., Alsaleh, G., Feltham, J., Sun, Y., Napolitano, G., Riffelmacher, T., Charles, P., Frau, L., Hublitz, P., Yu, Z., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.08.005 · Cited by 341
A few good peptides: MHC class I-based cancer immunosurveillance and immunoevasion
Dersh, D., Hollý, J., & Yewdell, J. W. (2020) · Nature reviews. Immunology · doi:10.1038/s41577-020-0390-6 · Cited by 284
Insulin Receptor-Mediated Stimulation Boosts T Cell Immunity during Inflammation and Infection
Tsai, S., Clemente-Casares, X., Zhou, A. C., Lei, H., Ahn, J. J., Chan, Y. T., Choi, O., Luck, H., Woo, M., Dunn, S. E., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.08.003 · Cited by 272
Different TCR-induced T lymphocyte responses are potentiated by stiffness with variable sensitivity
Saitakis, M., Dogniaux, S., Goudot, C., Bufi, N., Asnacios, S., Maurin, M., Randriamampita, C., Asnacios, A., & Hivroz, C. (2017) · eLife · doi:10.7554/elife.23190 · Cited by 253
Quantitative analysis of T cell proteomes and environmental sensors during T cell differentiation
Howden, A. J. M., Hukelmann, J. L., Brenes, A., Spinelli, L., Sinclair, L. V., Lamond, A. I., & Cantrell, D. A. (2019) · Nature Immunology · doi:10.1038/s41590-019-0495-x · Cited by 231
Self-citationCytotoxic T-cells mediate exercise-induced reductions in tumor growth
Rundqvist, H., Veliça, P., Barbieri, L., Gameiro, P. A., Bargiela, D., Gojkovic, M., Mijwel, S., Reitzner, S. M., Wulliman, D., Ahlstedt, E., et al. (2020) · eLife · doi:10.7554/elife.59996 · Cited by 216
MenTORing Immunity: mTOR Signaling in the Development and Function of Tissue-Resident Immune Cells
Jones, R. G., & Pearce, E. J. (2017) · Immunity · doi:10.1016/j.immuni.2017.04.028 · Cited by 218
mTOR Regulation of Glycolytic Metabolism in T Cells
Salmond, R. J. (2018) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2018.00122 · Cited by 211
Marchingo, J. M., Sinclair, L. V., Howden, A. J. M., & Cantrell, D. A. (2020) · eLife · doi:10.7554/elife.53725 · Cited by 202
Self-citationT‐cell metabolism governing activation, proliferation and differentiation; a modular view
Dimeloe, S., Burgener-Gasser, A.-V., Grählert, J., & Hess, C. (2016) · Immunology · doi:10.1111/imm.12655 · Cited by 202
T Cell Activation Depends on Extracellular Alanine
Ron‐Harel, N., Ghergurovich, J. M., Notarangelo, G., LaFleur, M. W., Tsubosaka, Y., Sharpe, A. H., Rabinowitz, J. D., & Haigis, M. C. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.08.034 · Cited by 201
NFATc1 controls the cytotoxicity of CD8+ T cells
Klein‐Hessling, S., Muhammad, K., Klein, M., Pusch, T., Rudolf, R., Flöter, J., Qureischi, M., Beilhack, A., Vaeth, M., Kummerow, C., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00612-6 · Cited by 202
Multibatch TMT reveals false positives, batch effects and missing values
Brenes, A., Hukelmann, J., Bensaddek, D., & Lamond, A. I. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra119.001472 · Cited by 196
Self-citationmTOR signaling at the crossroads of environmental signals and T‐cell fate decisions
Huang, H., Long, L., Zhou, P., Chapman, N. M., & Chi, H. (2020) · Immunological Reviews · doi:10.1111/imr.12845 · Cited by 193
Protein synthesis, degradation, and energy metabolism in T cell immunity
Marchingo, J. M., & Cantrell, D. A. (2022) · Cellular & Molecular Immunology · doi:10.1038/s41423-021-00792-8 · Cited by 169
Self-citationCD45 functions as a signaling gatekeeper in T cells
Courtney, A. H., Shvets, A. A., Lu, W., Griffante, G., Mollenauer, M., Horkova, V., Lo, W.-L., Yu, S., Stepanek, O., Chakraborty, A. K., et al. (2019) · Science Signaling · doi:10.1126/scisignal.aaw8151 · Cited by 161
Celis-Gutierrez, J., Blattmann, P., Zhai, Y., Jarmuzynski, N., Ruminski, K., Grégoire, C., Ounoughene, Y., Fiore, F., Aebersold, R., Roncagalli, R., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.05.041 · Cited by 154
Fatty acid metabolism in CD 8 + T cell memory: Challenging current concepts
Raud, B., McGuire, P. J., Jones, R. G., Sparwasser, T. D., & Berod, L. (2018) · Immunological Reviews · doi:10.1111/imr.12655 · Cited by 155
Ancillary Activity: Beyond Core Metabolism in Immune Cells
Puleston, D. J., Villa, M., & Pearce, E. L. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.019 · Cited by 150
PD-1 and BTLA regulate T cell signaling differentially and only partially through SHP1 and SHP2
Xu, X., Hou, B., Fulzele, A., Masubuchi, T., Zhao, Y., Wu, Z., Hu, Y., Jiang, Y., Ma, Y., Wang, H., et al. (2020) · The Journal of Cell Biology · doi:10.1083/jcb.201905085 · Cited by 135
Xiao, Q., Wu, J., Wang, W.-J., Chen, S., Zheng, Y., Yu, X., Meeth, K., Sahraei, M., Bothwell, A. L. M., Chen, L., et al. (2018) · Nature Medicine · doi:10.1038/nm.4496 · Cited by 130
Connections Between Metabolism and Epigenetics in Programming Cellular Differentiation
Chisolm, D. A., & Weinmann, A. S. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053127 · Cited by 133
Hepcidin-Mediated Hypoferremia Disrupts Immune Responses to Vaccination and Infection
Frost, J. N., Tan, T. K., Abbas, M., Wideman, S. K., Bonadonna, M., Stoffel, N. U., Wray, K., Kronsteiner, B., Smits, G. P., Campagna, D. R., et al. (2020) · Med · doi:10.1016/j.medj.2020.10.004 · Cited by 127
Matias, M. I., Yong, C. S. M., Foroushani, A. B. K., Goldsmith, C., Mongellaz, C., Sezgin, E., Levental, K. R., Talebi, A., Perrault, J., Riviere, A., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109911 · Cited by 124
Myers, S. A., Rhoads, A., Cocco, A. R., Peckner, R., Haber, A. L., Schweitzer, L. D., Krug, K., Mani, D. R., Clauser, K. R., Rozenblatt–Rosen, O., et al. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra118.001259 · Cited by 105
Beneficial autoimmunity improves cancer prognosis
Zitvogel, L., Perreault, C., Finn, O. J., & Kroemer, G. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00508-x · Cited by 108
Vitamin D endocrinology on the cross-road between immunity and metabolism
Vanherwegen, A.-S., Gysemans, C. A., & Mathieu, C. (2017) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2017.04.018 · Cited by 107
Clerc, I., Moussa, D. A., Vahlas, Z., Tardito, S., Oburoglu, L., Hope, T. J., Sitbon, M., Dardalhon, V., Mongellaz, C., & Taylor, N. N. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0084-1 · Cited by 108
Rewiring mitochondrial metabolism to counteract exhaustion of CAR-T cells
Huang, Y., Si, X., Shao, M., Teng, X., Xiao, G., & Huang, H. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01255-x · Cited by 110
Interleukin-2 shapes the cytotoxic T cell proteome and immune environment–sensing programs
Rollings, C. M., Sinclair, L. V., Brady, H. J. M., Cantrell, D. A., & Ross, S. H. (2018) · Science Signaling · doi:10.1126/scisignal.aap8112 · Cited by 99
Self-citationClinical Phenotypes of Hyper-IgM Syndromes
de la Morena, M. T. (2016) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2016.09.013 · Cited by 94
Gautier, V., Cayrol, C., Farache, D., Roga, S., Monsarrat, B., Burlet‐Schiltz, O., de Peredo, A. G., & Girard, J. (2016) · Scientific Reports · doi:10.1038/srep34255 · Cited by 99
Ross, S. H., Rollings, C., Anderson, K. E., Hawkins, P. T., Stephens, L. R., & Cantrell, D. A. (2016) · Immunity · doi:10.1016/j.immuni.2016.07.022 · Cited by 89
Self-citationRoncagalli, R., Cucchetti, M., Jarmuzynski, N., Grégoire, C., Bergot, E., Audebert, S., Baudelet, É., Menoita, M. G., Joachim, A., Durand, S., et al. (2016) · The Journal of Experimental Medicine · doi:10.1084/jem.20160579 · Cited by 93
Ma, F., Vayalil, J., Lee, G., Wang, Y., & Peng, G. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-003217 · Cited by 85
MYC and HIF in shaping immune response and immune metabolism
Gnanaprakasam, J. R., Sherman, J. W., & Wang, R. (2017) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2017.03.004 · Cited by 84
Wang, Y., Chen, Z., Wang, T., Guo, H., Liu, Y., Dang, N., Hu, S., Wu, L., Zhang, C., Ye, K., et al. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-00615-2 · Cited by 82
Control of amino acid transport coordinates metabolic reprogramming in T-cell malignancy
Grzes, K. M., Swamy, M., Hukelmann, J. L., Emslie, E., Sinclair, L. V., & Cantrell, D. A. (2017) · Leukemia · doi:10.1038/leu.2017.160 · Cited by 81
Self-citationTan, T. C. J., Knight, J. R. P., Sbarrato, T., Dudek, K., Willis, A. E., & Zamoyska, R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1700939114 · Cited by 76
Single Cell Glucose Uptake Assays: A Cautionary Tale
Sinclair, L. V., Barthelemy, C., & Cantrell, D. A. (2020) · Immunometabolism · doi:10.20900/immunometab20200029 · Cited by 72
Self-citationProteotoxic stress response drives T cell exhaustion and immune evasion
Wang, Y., Ma, A., Song, N.-J., Shannon, A. E., Amankwah, Y. S., Chen, X., Wu, W., Wang, Z., Saadey, A. A., Yousif, A., et al. (2025) · Nature · doi:10.1038/s41586-025-09539-1 · Cited by 68
Targeting mTOR signaling by polyphenols: A new therapeutic target for ageing
Pazoki–Toroudi, H., Amani, H., Ajami, M., Nabavi, S. F., Braidy, N., Kasi, P. D., & Nabavi, S. M. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.07.004 · Cited by 70
Regulation of Inflammatory Functions of Macrophages and T Lymphocytes by NFAT5
Aramburu, J. F., & López‐Rodríguez, C. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00535 · Cited by 72
Palmer, C. S., Duette, G., Wagner, M. C. E., Henstridge, D. C., Saleh, S., Pereira, C. F., Zhou, J., Simar, D., Lewin, S. R., Ostrowski, M., et al. (2017) · FEBS Letters · doi:10.1002/1873-3468.12843 · Cited by 72
Ly, T., Whigham, A., Clarke, R. G., Murillo, A. B., Estes, B., Madhessian, D., Lundberg, E. K., Wadsworth, P., & Lamond, A. I. (2017) · eLife · doi:10.7554/elife.27574 · Cited by 66
Self-citationSignal transduction changes in CD4 + and CD8 + T cell subpopulations with aging
Page, A. Y. L., Dupuis, G., Larbi, A., Witkowski, J. M., & Fülöp, T. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.01.005 · Cited by 65
Adaptive immunity at the crossroads of autophagy and metabolism
Metur, S. P., & Klionsky, D. J. (2021) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00662-3 · Cited by 67
Lactate exposure shapes the metabolic and transcriptomic profile of CD8+ T cells
Barbieri, L., Veliça, P., Gameiro, P. A., Cunha, P. P., Foskolou, I. P., Rullman, E., Bargiela, D., Johnson, R. S., & Rundqvist, H. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1101433 · Cited by 68
Zheng, C., Wang, L., Zou, T., Lian, S., Luo, J., Lu, Y., Hao, H., Xu, Y., Xiang, Y., Zhang, X., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2023.12.024 · Cited by 70
Nicolet, B. P., & Wolkers, M. C. (2022) · PLOS ONE · doi:10.1371/journal.pone.0276294 · Cited by 62
Signals Controlling Lytic Granule Polarization at the Cytotoxic Immune Synapse
Kabanova, A., Zurli, V., & Baldari, C. T. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00307 · Cited by 68
Fueling CARs: metabolic strategies to enhance CAR T-cell therapy
der Vreken, A. V., Vanderkerken, K., Bruyne, E. D., Veirman, K. D., Breckpot, K., & Menu, E. (2024) · Experimental Hematology and Oncology · doi:10.1186/s40164-024-00535-1 · Cited by 61
Molecular mechanisms of T cell sensitivity to antigen
Siller‐Farfán, J. A., & Dushek, O. (2018) · Immunological Reviews · doi:10.1111/imr.12690 · Cited by 56
Tauc, M., Cougnon, M., Carcy, R., Mélis, N., Hauet, T., Pellerin, L., Blondeau, N., & Pisani, D. F. (2021) · Cell & Bioscience · doi:10.1186/s13578-021-00733-y · Cited by 57
Sodium chloride in the tumor microenvironment enhances T cell metabolic fitness and cytotoxicity
Soll, D., Chu, C.-F., Sun, S., Lutz, V., Arunkumar, M., Gachechiladze, M. A., Schäuble, S., Alissa-Alkhalaf, M., Nguyen, T. T. T., Khalil, M., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-01918-6 · Cited by 58
Hirohama, D., Abedini, A., Moon, S., Surapaneni, A., Dillon, S. T., Vassalotti, A., Liu, H., Doke, T., Martinez, V., Dom, Z. I. M., et al. (2023) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000000000141 · Cited by 61
The Immunological Proteome Resource
Brenes, A. J., Hukelmann, J. L., Spinelli, L., Howden, A. J. M., Marchingo, J. M., Sinclair, L. V., Rollings, C. M., James, O. J., Phair, I. R., Matthews, S. P., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01483-4 · Cited by 53
Self-citationA central role for STAT5 in the transcriptional programing of T helper cell metabolism
Villarino, A. V., Laurence, A. D. J., Davis, F. P., Nivelo, L. A., Brooks, S. R., Sun, H., Jiang, K., Afzali, B., Frasca, D., Hennighausen, L. G., et al. (2022) · Science Immunology · doi:10.1126/sciimmunol.abl9467 · Cited by 56
Extracellular signal-regulated kinase (ERK) pathway control of CD8+ T cell differentiation
Damasio, M. P. S., Marchingo, J. M., Spinelli, L., Hukelmann, J. L., Cantrell, D. A., & Howden, A. J. M. (2020) · Biochemical Journal · doi:10.1042/bcj20200661 · Cited by 56
Self-citationControl of T Cell Metabolism by Cytokines and Hormones
Bishop, E. L., Gudgeon, N. H., & Dimeloe, S. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.653605 · Cited by 56
Modified Hypoxia-Inducible Factor Expression in CD8+ T Cells Increases Antitumor Efficacy
Veliça, P., Cunha, P. P., Vojnovic, N., Foskolou, I. P., Bargiela, D., Gojkovic, M., Rundqvist, H., & Johnson, R. S. (2021) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-20-0561 · Cited by 52
“Average transcript frequency and rank distribution was similar to previously published transcriptomic analyses of CD8þ T cells (28, 29), including high levels of expression of genes defining CD8þ T-cell identity such as granzyme B (Gzmb), Cd8a, Cd3g, perforin (Prf1), and Ifng.”
ResultPeptide Channeling: The Key to MHC Class I Immunosurveillance?
Yewdell, J. W., Dersh, D., & Fåhræus, R. (2019) · Trends in Cell Biology · doi:10.1016/j.tcb.2019.09.004 · Cited by 54
Voisinne, G., García‐Blesa, A., Chaoui, K., Fiore, F., Bergot, E., Girard, L., Malissen, M., Burlet‐Schiltz, O., Gonzalez de Peredo, A., Malissen, B., et al. (2016) · Molecular Systems Biology · doi:10.15252/msb.20166837 · Cited by 50
FXR mediates T cell-intrinsic responses to reduced feeding during infection
Campbell, C., Marchildon, F., Michaels, A. J., Takemoto, N., van der Veeken, J., Schizas, M., Pritykin, Y., Leslie, C., Intlekofer, A., Cohen, P., et al. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.2020619117 · Cited by 41
Rapamycin improves Graves’ orbitopathy by suppressing CD4+ cytotoxic T lymphocytes
Zhang, M., Chong, K. K. L., Chen, Z., Guo, H., Liu, Y., Kang, Y., Li, Y., Shi, T., Lai, K. K. H., He, M., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.160377 · Cited by 48
CD73 Ectonucleotidase Restrains CD8+ T Cell Metabolic Fitness and Anti-tumoral Activity
Briceño, P., Rivas-Yáñez, E., Rosemblatt, M. V., Parra-Tello, B., Farías, P., Vargas, L., Simon, V., Cárdenas, C., Lladser, Á., Salazar‐Onfray, F., et al. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.638037 · Cited by 49
T cells at work: How post‐transcriptional mechanisms control T cell homeostasis and activation
Jurgens, A. P., Popović, B., & Wolkers, M. C. (2021) · European Journal of Immunology · doi:10.1002/eji.202049055 · Cited by 42
More TOR: The expanding role of mTOR in regulating immune responses
Patel, C. H., & Powell, J. D. (2025) · Immunity · doi:10.1016/j.immuni.2025.06.010 · Cited by 48
T cell metabolism in chronic viral infection
Pallett, L. J., Schmidt, N. M., & Schurich, A. (2019) · Clinical & Experimental Immunology · doi:10.1111/cei.13308 · Cited by 44
T cell exhaustion in human cancers
Kang, K., Lin, X., Chen, P., Liu, H., Liu, F., Xiong, W., Li, G., Yi, M., Li, X., Wang, H., et al. (2024) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2024.189162 · Cited by 49
Metabolic rewiring and communication in cancer immunity
Chapman, N. M., & Chi, H. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.02.001 · Cited by 44
Looking beyond the cancer cell for effective drug combinations
Dry, J. R., Yang, M., & Sáez-Rodríguez, J. (2016) · Genome Medicine · doi:10.1186/s13073-016-0379-8 · Cited by 38
Regulation of mTOR, Metabolic Fitness, and Effector Functions by Cytokines in Natural Killer Cells
Viel, S., Besson, L., Marotel, M., Walzer, T., & Marçais, A. (2017) · Cancers · doi:10.3390/cancers9100132 · Cited by 38
van Aalderen, M. C., van den Biggelaar, M., Remmerswaal, E. B. M., van Alphen, F. P. J., Meijer, A. B., ten Berge, I. J. M., & van Lier, R. A. W. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.04.014 · Cited by 38
Chowdhury, F. Z., Ouyang, Z., Buzón, M. J., Walker, B. D., Lichterfeld, M. D., & Yu, X. G. (2018) · AIDS · doi:10.1097/qad.0000000000002007 · Cited by 38
EOMES‐positive CD4+ T cells are increased in PTPN22 (1858T) risk allele carriers
Chemin, K., Ramsköld, D., Díaz-Gallo, L.-M., Herrath, J., Houtman, M., Tandre, K., Rönnblom, L., Catrina, A. I., & Malmström, V. (2018) · European Journal of Immunology · doi:10.1002/eji.201747296 · Cited by 40
Strategies to Overcome Failures in T-Cell Immunotherapies by Targeting PI3K-δ and –γ
Chandrasekaran, S., Funk, C. R., Kleber, T. J., Paulos, C. M., Shanmugam, M., & Waller, E. K. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.718621 · Cited by 36
Magalhaes, I., Yogev, O., Mattsson, J., & Schurich, A. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02309 · Cited by 34
IL-15 and PIM kinases direct the metabolic programming of intestinal intraepithelial lymphocytes
James, O. J., Vandereyken, M., Marchingo, J. M., Singh, F., Bray, S. E., Wilson, J., Love, A. G., & Swamy, M. (2021) · Nature Communications · doi:10.1038/s41467-021-24473-2 · Cited by 34
Immunometabolism modulation, a new trick of edible and medicinal plants in cancer treatment
Tan, W., Pan, T., Wang, S., Li, P., Men, Y., Tan, R., Zhong, Z., & Wang, Y. (2021) · Food Chemistry · doi:10.1016/j.foodchem.2021.131860 · Cited by 35
Duguet, F., Locard‐Paulet, M., Marcellin, M., Chaoui, K., Bernard, I., Andréoletti, O., Lesourne, R., Burlet‐Schiltz, O., de Peredo, A. G., & Saoudi, A. (2017) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m116.062745 · Cited by 30
Goyette, J., Salas, C. S., Coker-Gordon, N., Bridge, M., Isaacson, S. A., Allard, J. F., & Dushek, O. (2017) · Science Advances · doi:10.1126/sciadv.1601692 · Cited by 30
Tan, T. C. J., Kelly, V., Zou, X., Wright, D., Ly, T., & Zamoyska, R. (2022) · Nature Communications · doi:10.1038/s41467-022-35252-y · Cited by 30
Kedia-Mehta, N., Pisarska, M. M., Rollings, C. M., O’Neill, C. A., Barra, C. D., Foley, C., Wood, N., Wrigley-Kelly, N., Veerapen, N., Besra, G. S., et al. (2023) · Science Signaling · doi:10.1126/scisignal.abo2709 · Cited by 32
Self-citationT Cell Costimulation by CD6 Is Dependent on Bivalent Binding of a GADS/SLP-76 Complex
Breuning, J., & Brown, M. H. (2017) · Molecular and Cellular Biology · doi:10.1128/mcb.00071-17 · Cited by 29
Gadhamsetty, S., Coorens, T. H. H., & de Boer, R. J. (2016) · Journal of Virology · doi:10.1128/jvi.00306-16 · Cited by 28
Specific targeting of IL-1β activity to CD8+ T cells allows for safe use as a vaccine adjuvant
Eeckhout, B. V. D., Hoecke, L. V., Burg, E., Lint, S. V., Peelman, F., Kley, N., Uzé, G., Saelens, X., Tavernier, J. H., & Gerlo, S. (2020) · npj Vaccines · doi:10.1038/s41541-020-00211-5 · Cited by 28
Elevated glycolysis imparts functional ability to CD8+ T cells in HIV infection
Rahman, A. N.-U., Liu, J., Mujib, S., Kidane, S., Ali, A., Szep, S., Han, C., Bonner, P., Parsons, M., Benko, E., et al. (2021) · Life Science Alliance · doi:10.26508/lsa.202101081 · Cited by 27
Li, X., Zeng, Q., Zhang, R., Li, J., Xing, D., & Zhang, T. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.138210 · Cited by 27
Immunoribosomes: Where’s there’s fire, there’s fire
Wei, J., & Yewdell, J. W. (2018) · Molecular Immunology · doi:10.1016/j.molimm.2017.12.026 · Cited by 26
Tripathi, S. K., Välikangas, T., Shetty, A., Khan, M. M., Moulder, R., Bhosale, S. D., Komsi, E., Salo, V., Albuquerque, R. S. D., Rasool, O., et al. (2018) · iScience · doi:10.1016/j.isci.2018.12.020 · Cited by 26
Weerakoon, H. T. W., Mohamed, A., Wong, Y., Chen, J., Senadheera, B., Haigh, O. L., Watkins, T. S., Kazakoff, S. H., Mukhopadhyay, P., Mulvenna, J. P., et al. (2024) · npj Systems Biology and Applications · doi:10.1038/s41540-024-00346-4 · Cited by 24
Metadata
- Authors
- Hukelmann, J. L., Anderson, K. E., Sinclair, L. V., Grzes, K. M., Murillo, A. B., Hawkins, P. T., Stephens, L. R., Lamond, A. I., & Cantrell, D. A.
- Affiliations
- University of Dundee (GB)
- Babraham Institute (GB)
- Corresponding author
- Cantrell, Doreen A
- ORCID
- Venue
- Nature Immunology
- Published
- 2015-11-09
- Volume
- 17
- Issue
- 1
- Pages
- 104-112
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC4685757
- OpenAlex
- W2191096966
- Semantic Scholar
- f09067c9976f2a9e24edeb52284d6302ec58001a
- Cited by
- 249
- References
- 50
- Citations by year
- 2026: 10 · 2025: 19 · 2024: 31 · 2023: 24 · 2022: 20 · 2021: 29 · 2020: 24 · 2019: 21 · 2018: 27 · 2017: 26 · 2016: 17 · 2015: 1
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (acceptedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Wellcome Trust (073980, 097418/Z/11/Z, 065975, /Z/11/Z, 105024, 105024/Z/14/Z, 097945/C/11/Z, 097418, 093713/Z/10/A, 073980/Z/03/Z, 093713)
- Biotechnology and Biological Sciences Research Council (BBS/E/B/000C0415, BBS/E/B/000C0413)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Signaling Pathways in Disease
- Keywords
- cytotoxic T lymphocytes, mTORC1, mTORC2, Akt signaling, phosphatidylinositol 3,4,5-trisphosphate, granzymes, metabolic regulation, CD8+ T cell activation, T cell effector function
- MeSH terms
- Mechanistic Target of Rapamycin Complex 1, Animals, Cells, Cultured, Chromatography, Enzyme-Linked Immunosorbent Assay, Female, Male, Mass Spectrometry, T-Lymphocytes, Cytotoxic, Immunoblotting, Oligonucleotide Array Sequence Analysis, Proteome, Multiprotein Complexes, Mice, TOR Serine-Threonine Kinases
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