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Genome-wide analysis identifies NR4A1 as a key mediator of T cell dysfunction
Open accessAbstract
T cells become dysfunctional when they encounter self antigens or are exposed to chronic infection or to the tumour microenvironment 1. The function of T cells is tightly regulated by a combinational co-stimulatory signal, and dominance of negative co-stimulation results in T cell dysfunction 2. However, the molecular mechanisms that underlie this dysfunction remain unclear. Here, using an in vitro T cell tolerance induction system in mice, we characterize genome-wide epigenetic and gene expression features in tolerant T cells, and show that they are distinct from effector and regulatory T cells. Notably, the transcription factor NR4A1 is stably expressed at high levels in tolerant T cells. Overexpression of NR4A1 inhibits effector T cell differentiation, whereas deletion of NR4A1 overcomes T cell tolerance and exaggerates effector function, as well as enhancing immunity against tumour and chronic virus. Mechanistically, NR4A1 is preferentially recruited to binding sites of the transcription factor AP-1, where it represses effector-gene expression by inhibiting AP-1 function. NR4A1 binding also promotes acetylation of histone 3 at lysine 27 (H3K27ac), leading to activation of tolerance-related genes. This study thus identifies NR4A1 as a key general regulator in the induction of T cell dysfunction, and a potential target for tumour immunotherapy.
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“Because Nr4a2 is highly related to Nr4a1 and has been found to promote T cell exhaustion (33-35),”
From Bile acid synthesis impedes tumor-specific T cell responses during liver cancer (2025) · cites this paper as [35]
Experimental — accuracy not yet measuredIn the citing paper
“NFAT-induced transcription factors, including NR4A and TOX, drive T cell exhaustion/dysfunction44–47.”
From Tumor-specific cholinergic CD4+ T lymphocytes guide immunosurveillance of hepatocellular carcinoma (2023) · cites this paper as [45]
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Citations
Cites
Molecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652
Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes
Whyte, W. A., Orlando, D. A., Hnisz, D., Abraham, B. J., Lin, C. Y., Kagey, M. H., Rahl, P. B., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.035 · Cited by 4,143
Super-enhancers in the control of cell identity and disease
Hnisz, D., Abraham, B. J., Lee, T. I., Lau, A., Saint-André, V., Sigova, A. A., Hoke, H. A., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.09.053 · Cited by 3,662
Greenwald, R. J., Freeman, G. J., & Sharpe, A. H. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115611 · Cited by 2,318
Lag-3, Tim-3, and TIGIT: co-inhibitory receptors with specialized functions in immune regulation
Anderson, A. C., Joller, N., & Kuchroo, V. K. (2016) · Immunity · doi:10.1016/j.immuni.2016.05.001 · Cited by 2,096
Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade
Pauken, K. E., Sammons, M. A., Odorizzi, P. M., Manne, S., Godec, J., Khan, O., Drake, A. M., Chen, Z., Sen, D. R., Kurachi, M., et al. (2016) · Science · doi:10.1126/science.aaf2807 · Cited by 1,348
Wei, G., Wei, L., Zhu, J., Zang, C., Hu-Li, J., Yao, Z., Cui, K., Kanno, Y., Roh, T.-Y., Watford, W. T., et al. (2009) · Immunity · doi:10.1016/j.immuni.2008.12.009 · Cited by 1,152
Self-citationThe epigenetic landscape of T cell exhaustion
Sen, D. R., Kaminski, J., Barnitz, R. A., Kurachi, M., Gerdemann, U., Yates, K. B., Tsao, H.-W., Godec, J., LaFleur, M. W., Brown, F. D., et al. (2016) · Science · doi:10.1126/science.aae0491 · Cited by 986
The Transcription Factor NFAT Promotes Exhaustion of Activated CD8 + T Cells
Martinez, G. J., Pereira, R. M., Äijö, T., Kim, E. Y., Marangoni, F., Pipkin, M. E., Togher, S., Heissmeyer, V., Zhang, Y. C., Crotty, S., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.01.006 · Cited by 857
Tolerance and exhaustion: defining mechanisms of T cell dysfunction
Schietinger, A., & Greenberg, P. D. (2013) · Trends in Immunology · doi:10.1016/j.it.2013.10.001 · Cited by 704
Cited by
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Tran, H., Wasikowski, R., Zhang, H., Xing, X., Gharaee‐Kermani, M., Raducu, M., Fox, J. P., Jiang, R., Plazyo, O., Harms, P. W., et al. (2025) · JCI Insight · doi:10.1172/jci.insight.193038 · Cited by 8
Alendronate augments lipid A‑induced IL‑1β release by ASC‑deficient RAW264 cells via AP‑1 activation
Watanabe, N., Tamai, R., & Kiyoura, Y. (2023) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2023.12276 · Cited by 8
“Nur77, also named NR4A1, suppresses cytotoxic T cell function and exhausts chimeric antigen receptor T cells, which are engineered to eliminate tumor cells (41).”
Thorsson, H., Henningsson, R., Puente‐Moncada, N., Peña‐Martínez, P., Sjöström, L., Ågerstam, H., Sandén, C., Rissler, M., Castor, A., Marquart, H. V., et al. (2024) · Blood · doi:10.1182/blood.2023021705 · Cited by 10
Advances of long non-coding RNAs in osteoclast differentiation and osteoporosis
Liu, W., Zhang, Y., Li, Q., Wang, X., Wu, Y., Shen, H., & Wang, P. (2024) · Pathology - Research and Practice · doi:10.1016/j.prp.2024.155413 · Cited by 7
Self-citationEndogenous antigens shape the transcriptome and TCR repertoire in an autoimmune arthritis model
McCarthy, E. E., Yu, S., Perlmutter, N., Nakao, Y., Naito, R., Lin, C., Riekher, V., DeRisi, J. L., Ye, C., Weiss, A., et al. (2024) · Journal of Clinical Investigation · doi:10.1172/jci174647 · Cited by 8
“This likely indicates the activation of a negative regulatory program in CD4 +naive T cells in response to persistent TCR signaling (13, 37, 38), a process that is partially driven by NR4A family members, which have been shown to play inhibitory roles in peripheral T cells (24, 35, 39, 40).”
Self-citationZhang, X., Li, W., Jin, X., Fu, C., Jiang, W., Bai, J., & Shi, Z. (2025) · Biomedicines · doi:10.3390/biomedicines13020276 · Cited by 8
“The knockdown of MIDN suppressed the colony formation of breast cancer cells and upregulated FTO both in breast and gastric cancer.”
Transcriptional Control of Regulatory T Cells in Cancer: Toward Therapeutic Targeting?
Stéphan, P., Lautraite, R., Voisin, A., & Grinberg‐Bleyer, Y. (2020) · Cancers · doi:10.3390/cancers12113194 · Cited by 10
“Finally, in addition to this effect on Treg cells, inhibition of Nr4a proteins also seems to salvage the dysfunctional state of exhausted anti-tumor T cells, bestowing cells with potent anti-tumor properties [66,67].”
BackgroundAn overview of multiplexed analyses of CAR T-cell therapies: insights and potential
DePriest, B. P., Vieira, N., Bidgoli, A., & Paczesny, S. (2021) · Expert Review of Proteomics · doi:10.1080/14789450.2021.1992276 · Cited by 9
“mechanisms of exhaustion include the AP-1 related bZIP-IRF families [112], NFAT/NR4A axis [113,114] and TOX transcription factor [115].”
BackgroundThe Emerging Role of Lymphocyte Activation Gene 3 in the Cancer Immunotherapy
Cui, X., Peng, M., & Chen, H. (2022) · ONCOLOGIE · doi:10.32604/oncologie.2022.023641 · Cited by 8
Nuclear Receptors in Asthma: Empowering Classical Molecules Against a Contemporary Ailment
Tiwari, D., & Gupta, P. K. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.594433 · Cited by 8
Multiplexed Single-cell Metabolic Profiles Organize the Spectrum of Cytotoxic Human T CellsPreprint
Hartmann, F. J., Mrdjen, D., McCaffrey, E., Glass, D. R., Greenwald, N. F., Bharadwaj, A., Khair, Z., Baranski, A., Baskar, R., Angelo, M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.17.909796 · Cited by 8
Dysthe, M., Navin, I., van Leeuwen, D. G., Pineda, J. E., Baumgartner, C., Rooney, C. M., & Parihar, R. (2025) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-010672 · Cited by 7
Epigenetic priming as a driver of memory recall and dysfunction in T cells
Metzemaekers, M., Rinzema, N. J., & Stadhouders, R. (2025) · The Journal of Experimental Medicine · doi:10.1084/jem.20241433 · Cited by 8
Ma, C., Hu, H., Li, H., Han, B., Lv, C., & Tian, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1637300 · Cited by 7
Pleiotropic immunoregulation by bile acids in pathophysiology
Lin, B.-S., Yin, M., Xie, S.-A., Li, P., & Li, X. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1719092 · Cited by 8
Muth, A., Holzem, A. M. E., Neumann, A.-S., Bücklein, V., Subklewe, M. S., & Philipp, N. (2026) · Med · doi:10.1016/j.medj.2026.101031 · Cited by 9
Liao, Y., Hsu, S., & Chiou, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25042416 · Cited by 7
Divergent fates of antigen-specific CD8+ T cell clones in mice with acute leukemia
Chen, X., MacNabb, B. W., Flood, B. A., Blazar, B. R., & Kline, J. P. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109991 · Cited by 7
“…Nr4a2, and Nr4a3, previously shown to mediate epigenetic re-programming of terminally exhausted CD8+ T cells in solid cancers (Chen et al., 2019a; Liu et al., 2019; Scott et al., 2019), as well as those known to promote an anergic T cell phenotype, including Egr2 and Egr3 (Safford et al., 2005;…”
BackgroundElliot, T. A. E., Lecky, D. A. J., & Bending, D. (2023) · Essays in Biochemistry · doi:10.1042/ebc20220247 · Cited by 6
Shi, W., Wu, W., Wang, J., & Meng, X. (2024) · Medicine · doi:10.1097/md.0000000000037555 · Cited by 8
“[29] Interestingly, our findings also revealed that, the CD56 bright CD16 lo NK cells within tumors showed increased production of cytokines.”
Sugitani, N., Henkel, M., Partyka, J., Applegate, A., Kemp, F., Byersdorfer, C. A., Eddens, T. J., & Campfield, B. T. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1558252 · Cited by 7
Chen, J., Li, W., Wang, S., Li, J., Zhao, L., Ao, X., Wang, W., Zhu, L., Rao, H., Xu, S., et al. (2025) · Molecular Therapy · doi:10.1016/j.ymthe.2025.12.021 · Cited by 7
Self-citationHao, Q., Zhou, T. Y., Yan, H., Ren, Z., Mao, W., Huang, L., Chen, Y.-Y., Wang, Y., Xiao, M., He, Y., et al. (2026) · Molecular Cancer · doi:10.1186/s12943-025-02548-8 · Cited by 9
“In contrast, NR4A1, a transcription factor implicated in negative regulation of T cell activation and exhaustion [70, 71], was significantly elevated in Traj2 (Fig.”
Self-citationDing, X., Du, Y., Sun, B., Liu, L., Le, S., Wu, C., Chen, J., Chen, X., Chen, S., & Xia, J. (2023) · Cellular Signalling · doi:10.1016/j.cellsig.2023.110783 · Cited by 6
Shi, H., Chen, L., Wang, T., Zhang, W., Liu, J., Huang, Y., Li, J., Qi, H., Wu, Z., Wang, Y., et al. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-02019-x · Cited by 6
Self-citationExploring the Complexity and Promise of Tumor Immunotherapy in Drug Development
Feng, Y., He, C., Liu, C., Shao, B., Wang, D., & Wu, P. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126444 · Cited by 6
AIBP protects drug-induced liver injury by inhibiting MAPK-mediated NR4A1 expression
Ma, T., Huang, W. M., Ding, Y., Ji, R., Ge, S., Liu, Q., Liu, Y., Chen, J., Yang, Y., Lu, S., et al. (2024) · iScience · doi:10.1016/j.isci.2024.110873 · Cited by 6
TMED inhibition suppresses cell surface PD-1 expression and overcomes T cell dysfunction
Vredevoogd, D. W., Apriamashvili, G., Levy, P. L., Sinha, S., Huinen, Z. R., Visser, N. L., de Bruijn, B., Boshuizen, J., Veen, S. E. V. H.-V., Ligtenberg, M. A., et al. (2024) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-010145 · Cited by 6
The single-cell immune landscape of HIV-associated aggressive B-cell lymphoma
Zhang, X., Yang, Z., Xie, X., Li, J., Xiao, Q., Xu, G., Ma, B., Xie, X., Liu, Y., Zhai, L., et al. (2025) · Journal of the National Cancer Center · doi:10.1016/j.jncc.2025.02.001 · Cited by 7
Self-citationChiu, H.-H., Varghese, A., Shao, K., Lu, Y., Nahar, R., Chen, H., Deng, Q., Bao, X., & Li, C. (2026) · AIChE Journal · doi:10.1002/aic.70285 · Cited by 7
Bennett, A. K., Richner, M., Mun, M. D., & Richner, J. M. (2023) · Aging Cell · doi:10.1111/acel.13796 · Cited by 4
Characterizing control of memory CD8 T cell differentiation by BTB-ZF transcription factor Zbtb20
Preiss, N. K., Kamal, Y., Wilkins, O. M., Li, C., Kolling, F., Trask, H. W., Usherwood, Y.-K., Cheng, C., Frost, H. R., & Usherwood, E. J. (2023) · Life Science Alliance · doi:10.26508/lsa.202201683 · Cited by 7
“…has shown that NFAT orchestrates a program of T cell exhaustion in the absence of AP-1-binding partners (Martinez et al, 2015) through positive regulation of the TOX/NR4A T cell exhaustion axis (Chen et al, 2019; Seo et al, 2019), leading to displacement of AP-1 binding by NR4A (Liu et al, 2019).”
A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion
Ildefonso, G. V., & Finley, S. D. (2023) · npj Systems Biology and Applications · doi:10.1038/s41540-023-00297-2 · Cited by 7
“We sought to investigate the hypothesis that if PD1 was blocked through NFATC1 repression, the intermediary states and terminal end state of these CD8 + T cells would shift from EE to a terminal PP state.”
Tolerance induction in memory CD4 T cells is partial and reversible
Gray, J. I., Al‐Khabouri, S., Morton, F. R., Clambey, E. T., Gapin, L., Matsuda, J. L., Kappler, J. W., Marrack, P., Garside, P., Otto, T. D., et al. (2020) · Immunology · doi:10.1111/imm.13263 · Cited by 6
“This contrasts with investigations of tolerance induction in naïve CD4 T cells that consistently show silencing of multiple T cell functions(Greenwald et al., 2005, Liu et al., 2019, Miller et al., 2007, Nurieva et al., 2006, Nurieva et al., 2011).”
ResultPopulation dynamics and gene regulation of T cells in response to chronic antigen stimulation
Hsiung, S., & Egawa, T. (2022) · International Immunology · doi:10.1093/intimm/dxac050 · Cited by 6
Li, J., Peng, C., He, K., Wang, Y., & Lai, X. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1358426 · Cited by 5
Self-citationDNA remnants in red blood cells enable early detection of cancer
Sun, H., Yao, X., Jiao, Y., Kong, X., Han, Y., Li, Y., Ge, J., Cao, Y., Lu, H., Wang, P., et al. (2025) · Cell Research · doi:10.1038/s41422-025-01122-7 · Cited by 5
Self-citationBACH2 drives the development and function of group 2 innate lymphoid cells
Liu, G., Wang, Y., Yi, X., Wang, J., Zhang, J., Feng, X., Wang, H., Chen, C., Liu, Q., Wang, J., et al. (2025) · Science Advances · doi:10.1126/sciadv.ads4323 · Cited by 6
“H3K27ac is a well-established chromatin marker of active enhancers and promoters ( 32 ).”
Self-citationFujisawa, S., Tanabe, Y., Hojo, A., Shiga, R., Kurachi, J., Koura, M., Tamai, T., Miyanari, Y., Wherry, E. J., & Kurachi, M. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116129 · Cited by 5
Transcription factors in chimeric antigen receptor T-cell development
Dai, A., Zhang, X., Wang, X., Liu, G., Wang, Q., & Yu, F. (2024) · Human Cell · doi:10.1007/s13577-024-01040-7 · Cited by 5
“NR4A1 overexpression enhances this acetylation, resulting in upregulation of genes involved in immune tolerance and exhaustion [21].”
Self-citationPregnenolone sulfate induces transcriptional and immunoregulatory effects on T cells
Hajj, Y. E., Shahin, T., Dieng, M. M., Alshaikh, M., Khair, M., Vinu, M., & Idaghdour, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-57327-0 · Cited by 5
Transcriptional rewiring in CD8+ T cells: implications for CAR-T cell therapy against solid tumours
Srinivasan, S., Armitage, J. D., Nilsson, J. A., & Waithman, J. C. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1412731 · Cited by 5
Gallo, M. T., Dolci, B., Fumagalli, F., Brivio, P., & Calabrese, F. (2024) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00856 · Cited by 6
Baysal, M. A., Chakraborty, A., & Tsimberidou, A. M. (2024) · Journal of Cancer Immunology · doi:10.33696/cancerimmunol.6.080 · Cited by 4
“However, during chronic TCR engagement, the expression of T-BET [33,43,46], BATF-IRF4 [27,47], and NR4A [48] is the lowest in Tpex cells.”
BackgroundT cell exhaustion: Focus on molecular pathways
Dang, Q. (2025) · Pathology - Research and Practice · doi:10.1016/j.prp.2025.156081 · Cited by 5
Dissecting the heterogeneity of exhausted T cells at the molecular level
Kagoya, Y. (2022) · International Immunology · doi:10.1093/intimm/dxac016 · Cited by 5
Oladipo, O. O., Adedeji, B. O., Adedokun, S. P., Gbadamosi, J. A., & Salaudeen, M. (2022) · Immunologic Research · doi:10.1007/s12026-022-09353-1 · Cited by 5
“While NR4A1 has no established role in MPEC/SLEC differentiation, ablation of NR4A3 promotes the differentiation into MPECs and the generation of central memory [126, 127].”
BackgroundInfluentialWang, W., Guo, H., Wu, S., Xian, S., Zhang, W., Zhang, R., Chen, Z., Su, K., Zhang, Y., Zhu, Y., et al. (2023) · Reproductive Sciences · doi:10.1007/s43032-022-01134-3 · Cited by 5
“Over expression of NR4A1 inhibited the differentiation of effector T cells and resulted in the activation of tolerance related genes as well [42].”
BackgroundIntraepithelial ILC1-like cells: Front-line fighters in human head and neck squamous cell carcinoma
Cella, M., & Robinette, M. L. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2110875118 · Cited by 5
Kim, K., Park, S., Park, S. Y., Kim, G., Park, S. M., Cho, J.-W., Kim, D. H., Park, Y. M., Koh, Y. W., Kim, H. R., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/641316 · Cited by 6
Naïve arthritogenic SKG T cells have a defect in anergy and a repertoire pruned by superantigenPreprint
Ashouri, J. F., McCarthy, E. E., Yu, S., Perlmutter, N., Lin, C., DeRisi, J. L., Ye, C., & Weiss, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.13.476250 · Cited by 5
“This likely reflects the triggering of a negative regulatory program in naïve CD4 T cells in response to tonic TCR signaling since NR4A family members have been shown to play negative regulatory roles in peripheral T cells (28, 41-43), and to be associated with transcriptional signatures of anergy and exhaustion inclu…”
BackgroundSelf-citationHu, H., Li, R., He, K., Wu, L., Li, R., Lu, J., Tian, R., Zhang, C., He, J., Chen, Y., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02495-2 · Cited by 4
Self-citationXu, Y., Zhao, W., Fu, J., Liu, Z., Nie, H., Zhang, J., Guo, J., Tan, M., & Chen, X. (2026) · Journal of the American Chemical Society · doi:10.1021/jacs.5c22099 · Cited by 4
Fumagalli, M., An, D., Simula, L., Combe, C., Aziez, L., Simoni, Y., Alves‐Guerra, M., Valentini, A., Marchais, M., Vermare, A., et al. (2026) · Molecular Therapy · doi:10.1016/j.ymthe.2026.04.009 · Cited by 6
Interpreting the Function of the IL-23/IL-17 Axis through Bioinformatics
Vázquez‐Jiménez, S. I., González–Sánchez, G. D., Velázquez, C. G., & Guzmán‐Flores, J. M. (2024) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/0118715303316226240823045641 · Cited by 4
Anticancer Effects of New Disulfiram Analogs
Abdullah, O., Beaudoin, C. A., & Omran, Z. (2024) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.b24-00538 · Cited by 4
Miltefosine reinvigorates exhausted T cells by targeting their bioenergetic state
Zhang, X., Zhang, C., Lu, S., Dong, J., Tang, N., Wang, Y., Han, W., Pan, X., Zhang, X., Liu, D., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101869 · Cited by 4
Self-citationChen, Y., Mirza, M., Jiang, R., & Lee, A. P. (2024) · Biomicrofluidics · doi:10.1063/5.0231595 · Cited by 4
Early Notch signals from fibroblastic reticular cells program effector CD8+ T cell differentiation
Sousa, D. M. D., Perkey, E., Corre, L. L., Boulet, S., Gómez, D., Allman, A., Duval, F., Daudelin, J., Brandstadter, J. D., Lederer, K., et al. (2025) · The Journal of Experimental Medicine · doi:10.1084/jem.20231758 · Cited by 5
Mao, X., Cheng, L., Liu, Y., & Wu, Y. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1629012 · Cited by 4
Exploring the role of ferroptosis-related genes as biomarkers in acute kidney injury
Luo, G., Gao, Y., Zheng, Z., Gao, B., Wang, L., Tang, X., & Lei, C. (2024) · PLoS ONE · doi:10.1371/journal.pone.0307472 · Cited by 4
Gonzalez, N. M., Zou, D., Zeng, Z., Feng, F. X., Zhang, X., Sannes, C., Gu, A., Zu, Y., & Chen, W. (2024) · Immunology · doi:10.1111/imm.13881 · Cited by 4
“On the other hand, chronic TCR stimulation induces the expression of exhaustion drivers including TOX and NR4As, further contributing to the development of exhausted T cell phenotypes [6, 21, 22].”
HIV-1 adapts to HLA class II–associated selection pressure exerted by CD4 + and CD8 + T cells
Alves, E., Currenti, J., Crawford, K., Chopra, A., Ram, R., Barnett, L. D., Read, J. F., Al-kaabi, M., James, I., Carlson, J. M., et al. (2025) · Science Advances · doi:10.1126/sciadv.adr4238 · Cited by 3
“However, CD4 + T cells responsive to adapted HLA-II–restricted peptides showed enrichment of NR4A1 (FDR = 0.0011; Log 2 FC = 6.64) and PTGER4 (FDR = 0.019; Log 2 FC = 4.16), both of which are key mediators of T cell dysfunction ( 42 – 44 ).”
InfluentialWhat’s driving T cell dysfunction?
Flemming, A. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0138-4 · Cited by 4
Prevention of CAR-T-cell dysfunction
LaFleur, M. W., Miller, B. C., & Sharpe, A. H. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0512-2 · Cited by 4
Regulation of Pulmonary Bacterial Immunity by Follistatin-Like Protein 1
Henkel, M., Dutta, J. A., Partyka, J., Eddens, T. J., Hirsch, R., Kolls, J. K., & Campfield, B. T. (2020) · Infection and Immunity · doi:10.1128/iai.00298-20 · Cited by 5
Li, P., & Luo, L. (2021) · Healthcare · doi:10.3390/healthcare9060618 · Cited by 4
“Its receptor is expressed abundantly in lymphoid organs and tissues, and regulates B and T lymphocytes [35].”
BackgroundWang, A. Z., Bowman-Kirigin, J. A., Desai, R. R., Patel, P. R., Patel, B., Khan, S. M., Bender, D. E., Marlin, M. C., Liu, J., Osbun, J. W., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.03.454066 · Cited by 4
“In contrast, tumor T cells differentially expressed 287 genes coding for heat shock proteins, such as HSPA6, HSPA1A, and HSPA1B in addition to genes related 288 to T cell development and function, such as NR4A1(39, 40) and NR4A2(39).”
BackgroundSelf-citationSpatiotemporal Single-Cell Roadmap of Human Skin Wound HealingPreprint
Liu, Z., Li, D., Bian, X., Luo, L., Björklund, Å. K., Li, L., Zhang, L., Chen, Y., Guo, L. M., Gao, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.30.609923 · Cited by 4
Self-citationEna-bile-ing liver cancer growth
Goessling, W. (2025) · Science · doi:10.1126/science.adu7928 · Cited by 4
Vascular‐Associated Mononuclear Phagocytes: First‐Line Soldiers Ambushing Metastasis
Huang, H., Zheng, X.-N., & Tian, L. H. (2024) · BioEssays · doi:10.1002/bies.202400261 · Cited by 3
“The binding of NR4A1 also promotes the accumulation of transcriptional activation marker acetylation of histone 3 at lysine 27 (H3K27ac), leading to gene activation [68].”
Ye, C., Chen, X., Chen, Z., Liu, S., Kong, R., Lin, W., Zhu, M., Sun, X., & Xu, Z. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1604394 · Cited by 4
“After using COMPAT to eliminate the batch effect of different cohorts, the Braun 2020 RCC, Mariathasan 2018 UC, Liu 2019 SKCM, Gide 2019 SKCM and Riaz 2017 SKCM datasets were merged into a large dataset (n=772) according to a previously reported method (40).”
scSAGRN: Inferring gene regulatory networks from single-cell multi-omics using spatial association
Ren, Q., Nan, M., Fu, Y., Chen, X., Ma, Y., Shi, Y., & Gao, J. (2025) · Biosystems · doi:10.1016/j.biosystems.2025.105531 · Cited by 3
Liu, Z., Sun, M., Lu, L., Wu, X., Wang, H., Gao, Y., Liu, A., Qian, Y., Hu, H., & Jiang, H. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110828 · Cited by 3
The deubiquitinase USP17LA negatively regulates T-cell activation and attenuates anti-tumor immunity
Zhang, H., Guo, Z., Wei, G., Yi, J., Wang, Z., Zhang, Y., Zhao, H., Ren, T., Wang, Y., Kuang, J., et al. (2025) · EMBO Reports · doi:10.1038/s44319-025-00584-5 · Cited by 3
“Among the upregulated genes, negative regulators of TCR signaling, such as Nr4a1 , Nr4a3 , Dusp2 , and Dusp6 , were signi fi cantly increased (Bertin et al, 2015; Chen et al, 2019; Dan et al, 2020; Hsu et al, 2018; Liu et al, 2019).”
Self-citationAlsharif, O., & Rombouts, K. (2025) · npj gut and liver. · doi:10.1038/s44355-025-00037-9 · Cited by 3
Yu, M., Yang, T., Ding, S., & Hu, Y. (2025) · American Journal of Hematology · doi:10.1002/ajh.70131 · Cited by 3
“…efficacy compared to single-gene deletions [52, 53], which is attributed to functional heterogeneity among family members: NR4A1 deletion preferentially reduces exhaustion markers [54], whereas NR4A3 knockdown drives precursor memory cell differentiation toward central memory CD8 + T cells [55].”
Born-Bony, M., Cornu, C., Villeret, B., Gratio, V., Voulhoux, R., & Sallenave, J. (2025) · Mucosal Immunology · doi:10.1016/j.mucimm.2025.03.001 · Cited by 3
Single-cell transcriptomic characterization of microscopic colitis
Halvorsen, S. C., Thomas, M. F., Mino-Kenudson, M. A., Kinowaki, Y., Burke, K. E., Morgan, D., Miller, K. C., Williams, K. M., Gurung, J., McGoldrick, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59648-8 · Cited by 3
Yeung, K., Weber, J. F., Stegenborg-Grathwohl, S. M., Bischofberger, N., Vaher, H., Jacobsen, J. C., Sørensen, F. N. F., Khodosevich, K., Coquet, J. M., Geisler, C., et al. (2025) · British Journal of Dermatology · doi:10.1093/bjd/ljaf427 · Cited by 4
Hu, Q., Liu, J., Zhang, X.-K., Yang, W., Tao, Y., Chen, C., Qian, Y.-H., Tang, J., Yao, X., Xu, Y., et al. (2023) · Molecules · doi:10.3390/molecules28031238 · Cited by 4
“The treatment effect of Nur77−/− CD8+ T cells’ adoptive cell therapy (ACT) is better than wild-type CD8+ T cells [48].”
BackgroundChen, L., Shi, Y., Xiao, D., Huang, Y., Jiang, Y., Liang, M., Liang, F., Xue, J., Chen, H., Liu, Z., et al. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05602-2 · Cited by 4
Self-citationWhat’s driving T cell dysfunction?
Flemming, A. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0152-5 · Cited by 3
Álvarez, L., Marín‐García, P. J., & Llobat, L. (2022) · Research Square · doi:10.21203/rs.3.rs-2012849/v1 · Cited by 3
Tay, T., Bommakanti, G., Jaensch, E. S., Gorthi, A., Reddy, I. K., Hu, Y., Zhang, R., Doshi, A. S., Tan, S. L., Brucklacher-Waldert, V., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.22.581548 · Cited by 3
Biosynthetic plasticity enables CD8+ T cell functional resilience under nutrient stressPreprint
Scaglione, M., Knight, M., Trihemasava, K., Rome, K., Archambault, A., Oh, J., Tanaka, E., Hall, E., Le, T. N. V., Lines, C. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.22.632829 · Cited by 3
Transcription factor collaboration enables precise T cell state engineeringPreprint
Savage, R. E., Amador, C. D. M., Hock, C., Zhang, R., Kuo, H., Gao, A., Horlbeck, M. A., Gersbach, C. A., & Buenrostro, J. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.20.718569 · Cited by 5
“Exhausted cells displayed increased expression of exhaustion-associated genes such as TOX and CTLA4 , increased chromatin accessibility at exhaustion-associated TF motifs such as NR4A1 37 , and decreased expression of activation genes such as IFNG following PMA/IO stimulation ( Fig.”
Hu, Y., Wu, C., Li, T., Wu, Y., Yao, K., Zhang, M., Li, P., & Bian, X. (2024) · BMC Medical Genomics · doi:10.1186/s12920-024-02004-4 · Cited by 2
“Notably, among the eight genes with a monotonically increasing expression pattern validated by qPCR, CD83 and NR4A1 are involved in immune check-point regulation, which attenuates the immune response post-infection and during inflammation [13–15].”
BackgroundSelf-citationKiprina, A., Teichmann, T., Giménez, V. M. M., Wen-qing, X., Sailer, F. K., Windbergs, M., Manucha, W. A., Weigert, A., & Brandes, R. P. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1528759 · Cited by 2
Semitekolou, M., Paschalidis, N., Tartaro, D. L., Tsitsopoulou, A., Stamou, P., Mavroudis, A., Markaki, E., Varveri, A., Morianos, I., Lavigne, M. D., et al. (2025) · iScience · doi:10.1016/j.isci.2025.112804 · Cited by 2
Development of therapeutic cancer vaccines based on cancer immunity cycle
Zhang, J., Zheng, Y., Xu, L., Gao, J., Ou, Z., Zhu, M., & Wang, W. (2025) · Frontiers of Medicine · doi:10.1007/s11684-025-1134-6 · Cited by 2
Li, J., Chen, Y., Wang, C., Yu, J., Yang, Q., Liu, Y., & Tang, C. (2025) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.70713 · Cited by 2
Self-citationSamareh, P., Agudelo-Garcia, P. A., Zhang, Z., Gilbert, M. B., Mendoza, M. R., Huang, H., Wu, J. E., Baxter, A. E., Chen, Z., Alexander, K., et al. (2025) · The Journal of Immunology · doi:10.1093/jimmun/vkaf188 · Cited by 2
Self-citationRapid key gene discovery for bacterial shape: a cross-species machine learning approach
Liu, Q., Liu, H., Shi, J., Xu, C., Xie, Y., Hu, S., Zhang, Y., & Han, G. (2025) · BMC Microbiology · doi:10.1186/s12866-025-04411-8 · Cited by 2
UMP functions as an endogenous regulator of NR4A1 to control gastric cancer progression
Cai, G., Zhang, Z., Zhong, L., Wang, H., Miao, M., Su, J., An, Y., Zhang, C., Luo, X., Ju, H., et al. (2025) · Molecular Cell · doi:10.1016/j.molcel.2025.10.030 · Cited by 3
Cao, F., Liu, A., Tong, J., Guo, C. X., Zhang, H., Pang, Y., Tang, K., Yu, Q., & Guo, J. (2025) · mSystems · doi:10.1128/msystems.01403-25 · Cited by 2
“In the atopic dermatitis context, NR4A1 dysfunction may prevent effective inflammation termination, establishing chronic inflammatory states (44, 45).”
Bernacchi, A., Valerii, M. C., Spigarelli, R., Dussias, N. K., Rizzello, F., & Spisni, E. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27020649 · Cited by 2
“CN instead was associated with the downregulation of NR4A1 and JUNB , two transcriptional regulators involved in the expression of pro-inflammatory genes downstream of NF-κ B and AP-1 [50].”
Yang, Y., Liu, C., Yang, L., Zheng, S., Xu, H., Zhang, S., Tian, L., Sun, N., He, J., & Wang, Y. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218259 · Cited by 2
Self-citationWang, H., Li, J., Xu, X., Zeng, Y., 石国锋, Zhang, L., Zheng, J., & Li, H. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.157909 · Cited by 2
Self-citationAlleviation of experimental arthritis in SKG mice through Nr4a1 agonization
Nakayama, Y., Hiwa, R., Okubo, A., Shoji, M., Shirakashi, M., Tsuji, H., Kitagori, K., Nakashima, R., Akizuki, S., Yoshifuji, H., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1758616 · Cited by 2
Metadata
- Authors
- Liu, X., Wang, Y., Lu, H., Li, J., Yan, X., Xiao, M., Hao, J., Alekseev, A., Khong, H., Chen, T., Huang, R., Wu, J., Zhao, Q., Wu, Q., Xu, S., Wang, X., Jin, W., Yu, S., Wang, Y., Wei, L., Wang, A., Zhong, B., Ni, L., Liu, X., Nurieva, R., Ye, L., Tian, Q., Bian, X.-W., & Dong, C.
- Affiliations
- Army Medical University (CN)
- Institute for Systems Biology (US)
- Tsinghua University (CN)
- The University of Texas MD Anderson Cancer Center (US)
- Zhongshan Ophthalmic Center, Sun Yat-sen University (CN)
- Wuhan University (CN)
- Corresponding author
- Liu, Xindong
- Liu, Xiaolong
- Bian, Xiu-Wu
- Dong, Chen
- ORCID
- Venue
- Nature
- Published
- 2019-02-27
- Volume
- 567
- Issue
- 7749
- Pages
- 525-529
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6507425
- OpenAlex
- W2916738215
- Cited by
- 533
- References
- 30
- Citations by year
- 2026: 70 · 2025: 98 · 2024: 81 · 2023: 76 · 2022: 58 · 2021: 63 · 2020: 60 · 2019: 26
- FWCI
- 20.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL143520)
- National Cancer Institute (R03CA219760, P30CA016672)
- National Institute of Allergy and Infectious Diseases (R56AI125269, R21AI120012)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Receptors and Signaling
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- Nur77, T cell tolerance, T cell dysfunction, AP-1, H3K27 acetylation, histone acetylation, transcriptional repression, effector T cell differentiation, regulatory T cells, cancer immunotherapy, chronic viral infection, tumour immunity, epigenetic regulation
- MeSH terms
- Acetylation, Animals, Arenaviridae Infections, Colitis, Female, Gene Expression Regulation, Histones, Immune Tolerance, Immunotherapy, Lymphocytic choriomeningitis virus, Mice, Inbred C57BL, Neoplasms, T-Lymphocytes, Transcription, Genetic, Genome, Transcription Factor AP-1, Epigenesis, Genetic, Cell Line, Tumor, Mice, Nuclear Receptor Subfamily 4, Group A, Member 1
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