The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
The Transcription Factor NFAT Promotes Exhaustion of Activated CD8 + T Cells
Open accessAbstract
During persistent antigen stimulation, CD8(+) T cells show a gradual decrease in effector function, referred to as exhaustion, which impairs responses in the setting of tumors and infections. Here we demonstrate that the transcription factor NFAT controls the program of T cell exhaustion. When expressed in cells, an engineered form of NFAT1 unable to interact with AP-1 transcription factors diminished T cell receptor (TCR) signaling, increased the expression of inhibitory cell surface receptors, and interfered with the ability of CD8(+) T cells to protect against Listeria infection and attenuate tumor growth in vivo. We defined the genomic regions occupied by endogenous and engineered NFAT1 in primary CD8(+) T cells and showed that genes directly induced by the engineered NFAT1 overlapped with genes expressed in exhausted CD8(+) T cells in vivo. Our data show that NFAT promotes T cell anergy and exhaustion by binding at sites that do not require cooperation with AP-1.
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?
In the citing paper
“Exhausted cells presented a high activity of Nfatc1 regulon, which is presumably involved in regulating the exhaustion process (50–53).”
From Aging promotes reorganization of the CD4 T cell landscape toward extreme regulatory and effector phenotypes (2019) · cites this paper as [51]
In the citing paper
“TCR-induced Ca2+–NFAT signaling is indispensable for T cell exhaustion and induces the expression of inhibitory surface receptors, such as PD-1, Lag-3 and Tim-3 (ref. 43).”
From Tumor-specific cholinergic CD4+ T lymphocytes guide immunosurveillance of hepatocellular carcinoma (2023) · cites this paper as [43]
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
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · cited 1×
“Barcoded librarieswere sequenced in aSOLID4 sequencer (Applied Biosystems) and the reads were mapped by Bowtie (Langmead et al., 2009) to the mm9 genome in color-space.”
Calcium's Role in Mechanotransduction during Muscle Development
Damm, T. B., & Egli, M. (2014) · Cellular Physiology and Biochemistry · doi:10.1159/000356667 · Cited by 14,552
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062 · cited 15×
“, 2011), and in CD8 T cells in the context of prolonged low-grade antigenic stimulation and/or inflammation, as encountered in chronic viral infections and cancer (Schietinger and Greenberg, 2014; Wherry, 2011).”
InfluentialRestoring function in exhausted CD8 T cells during chronic viral infection
Barber, D. L., Wherry, E. J., Masopust, D., Zhu, B., Allison, J. P., Sharpe, A. H., Freeman, G. J., & Ahmed, R. (2005) · Nature · doi:10.1038/nature04444 · Cited by 4,057 · cited 4×
“, 2006), and blocking this pathway during chronic LCMV infection reinvigorates virus-specific CD8 T cell responses, resulting in lower viral loads (Barber et al., 2006).”
InfluentialTRANSCRIPTION FACTORS OF THE NFAT FAMILY:Regulation and Function
Rao, A., Luo, C. H., & Hogan, P. G. (1997) · Annual Review of Immunology · doi:10.1146/annurev.immunol.15.1.707 · Cited by 2,592 · cited 2×
“Notably, most NFAT1 ChIP-seq peaks did not overlap with CARIT-NFAT1 ChIP-seq peaks (Figure 4A, left and middle), suggesting that at these sites, NFAT binding is strongly stabilized by AP-1 (probably by 20-fold ormore) (Rao et al., 1997).”
Self-citationMolecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S.-J., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.09.006 · Cited by 2,103 · cited 14×
“…in CD8+ and CD4+ T cells by CA-RIT-NFAT1 and those observed in exhausted CD8+ T cells and anergic CD4+ T cells in vivo (22/56 genes and 99/371 genes, respectively; p value < 10 10) (Figures 2E, 2F, and S3E; Tables 1, S1, and S2; Doering et al., 2012; Okamura et al., 2009; Wherry et al., 2007).”
InfluentialTargeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity
Sakuishi, K., Apetoh, L., Sullivan, J. M., Blazar, B. R., Kuchroo, V. K., & Anderson, A. C. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20100643 · Cited by 2,072 · cited 2×
“Moreover, antibodies to PD-1 and CTLA-4 have emerged as surprisingly effective agents for cancer immunotherapy (Schietinger and Greenberg, 2014), and individual or combined blockade of TIM3, PD-1, and LAG3 with antagonist antibodies has been shown to reverse exhaustion efficiently in CD8 T cells (Blackburn et al., 200…”
Blackburn, S. D., Shin, H., Haining, W. N., Zou, T., Workman, C. J., Polley, A., Betts, M. R., Freeman, G. J., Vignali, D. A. A., & Wherry, E. J. (2009) · Nature Immunology · doi:10.1038/ni.1679 · Cited by 2,062 · cited 2×
“Moreover, antibodies to PD-1 and CTLA-4 have emerged as surprisingly effective agents for cancer immunotherapy (Schietinger and Greenberg, 2014), and individual or combined blockade of TIM3, PD-1, and LAG3 with antagonist antibodies has been shown to reverse exhaustion efficiently in CD8 T cells (Blackburn et al., 200…”
Transcriptional regulation by calcium, calcineurin, and NFAT
Hogan, P. G., Chen, L., Nardone, J., & Rao, A. (2003) · Genes & Development · doi:10.1101/gad.1102703 · Cited by 1,991 · cited 3×
“The ability to participate inmultiple transcriptional complexes allows NFAT to contribute to different transcriptional programs depending on the cell type and signaling context in which it is activated (Hogan et al., 2003).”
Self-citation
Cited by
Sorted by citations
Items 701–800 of 866
[Tole of T cell exhaustion in inducing immune tolerance and preventing graft-versus-host disease].
Wang, J., & Han, M. (2019) · PubMed Central · doi:10.3760/cma.j.issn.0253-2727.2019.02.015
“[27] Martinez GJ, Pereira RM, Aijo T, et al.”
BackgroundCRELD1 controls T cell homeostasis
Gounari, F. (2020) · Nature Immunology · doi:10.1038/s41590-020-00820-1
Li, R., Guo, H., Wang, M., Hou, Y., Liu, S., Peng, T., Zhao, X., Lu, L., Han, Y., Shao, Y., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-150508/v1
Wu, Y.-J., Barreira‐Silva, P., Boyce, S., Powers, J., Cavallo, K., & Behar, S. M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3802857
Nguyen, J., Pettmann, J., Kruger, P., & Dushek, O. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.02.450833
“Moreover, imbalanced activation of transcription factors in favour of NFAT is also implicated in the induction of these states (40, 41, 44), so it is not surprising that TNFRSF costimulation has been reported to counteract both anergy and exhaustion in vivo (45–47).”
BackgroundCharacterizing the Development of T cell Exhaustion Independent of PD-1
Freeman, Z. T. (2016)
Destiny of CD8+ T cells exhaustion in cancer, and rescue of it: a narrative review
Wu, G. (2021) · Annals of Blood · doi:10.21037/aob-21-2
“Nuclear factor of activated T cells (NFAT), touted for its role in T cell activation, can promote CD8 T cell dysfunction in tumor and viral infection models while boundless with activated protein (AP-1) transcription factors, which might be the most crucial cis-element for PD1 expression (45).”
BackgroundCai, C., Samir, J., Pirozyan, M. R., Adikari, T. N., Gupta, M., Leung, P., Hughes, B., Byl, W. V. D., Rizzetto, S., Elthala, A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.09.459584
NFAT Family of Transcription Factors
Macián, F. (2021) · Springer eBooks · doi:10.1007/978-3-030-57401-7_216
NFAT Family of Transcription Factors
Macián, F. (2021) · Springer eBooks · doi:10.1007/978-3-030-21573-6_216-1
Rouse, B. T. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735164832.793558437
Wu, P. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.739857522.793584376
Pawelec, G. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737026147.793569308
Taniuchi, I. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735164859.793557257
Morianos, I., Tsitsopoulou, A., Potaris, Κ., Valakos, D., Fari, O., Vatsellas, G., Bostantzoglou, C., Photiades, A., Gaga, M., Xanthou, G., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-695724/v1
Winoto, A. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735164859.793557834
Eisenlohr, L. C., & Cosma, G. L. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727390481.793545054
Rouse, B. T. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735164859.793558438
Faculty Opinions recommendation of Cutting edge: chromatin accessibility programs CD8 T cell memory.
Pipkin, M. E. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727289065.793562836
Self-citationAltman, A. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.738776273.793586568
CD137 (4-1BB) Signaling Drives a TcR-Independent Exhaustion Program in CD8 T CellsPreprint
Pichler, A., Carrié, N., Voisin, A., Ghazali, S., Lucca, L. E., Tosolini, M., Cuisinier, M., Souto, L. D., Ekren, R., Blanquart, E., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4163142
Nuclear Factor of Activated T Cells and Tolerance
Macián, F. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-821618-7.00132-2
Co-stimulatory molecules decide T cell fate through regulations of their invigoration and impairmentPreprint
Ichikawa, K., & Ichikawa, K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.21.508809
Polycomb Repressive Complex 1 subunit Cbx4 positively regulates effector responses in CD8 T cellsPreprint
Melo, G. A., Xu, T., Calôba, C., Schutte, A., Brum, G., Passos, T. O., Higa, L. M., Gonçalves, A. N. A., Tanuri, A., Viola, J. P. B., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.03.510675
Self-citationCIMT 2022: Report on the 19th Annual Meeting of the Association for Cancer Immunotherapy
Berger, P. A., Freitag, J., Linkenbach, S.-C., Merz, L., Schork, M., Thevissen, S., Yildiz, I., & Beck, J. D. (2022) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2022.2124785
“Chromatin landscape analysis showed that IL-10R blockade impaired the NFAT/AP-1 cooperativity, thereby affecting TCR-mediated T-cell activation.(52) This concept has important implications for the clinic, given that PD-1 CD8+ T cells are present in the lymph nodes of CLL patients and IL-10R deficiency is associated wi…”
BackgroundLuan, R., & Deng, B. (2023) · Hematology and Oncology Discovery · doi:10.15212/hod-2022-0009
Wang, D., Prager, B. C., Gimple, R. C., Aguilar, B., Alizadeh, D., Tang, H., Lv, D., Starr, R., Brito, A., Wu, Q., et al. (2023) · doi:10.1158/2159-8290.c.6549389.v1
Wilson, T. L., Kim, H., Chou, C., Langfitt, D. M., Mettelman, R. C., Minervina, A. A., Allen, E. K., Métais, J., Pogorelyy, M. V., Riberdy, J. M., et al. (2023) · doi:10.1158/2159-8290.22541069.v1
Wang, D., Prager, B. C., Gimple, R. C., Aguilar, B., Alizadeh, D., Tang, H., Lv, D., Starr, R., Brito, A., Wu, Q., et al. (2023) · doi:10.1158/2159-8290.22540475.v1
Local Onco-Sphere: Tumor–Immune Cells Interactions
Saw, P. E., & Song, E. (2023) · Springer eBooks · doi:10.1007/978-981-99-1183-7_3
Ichiyama, K., Long, J., Kobayashi, Y., Horita, Y., Kinoshita, T., Nakamura, Y., Kominami, C., Georgopoulos, K., & Sakaguchi, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.12.553084
Wu, H., Zhao, X., Hochrein, S. M., Eckstein, M., Gubert, G. F., Knöpper, K., Mansilla, A. M., Öner, A., Doucet-Ladevèze, R., Schmitz, W., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.31.555662
Liu, Z., Wan, H., Tan, Y., Li, D., Huang, J., Zhang, C., Liu, F., & Qin, B. (2023) · International Journal of Immunopathology and Pharmacology · doi:10.1177/03946320231215219
“31,32 Effectively engaging host immune mechanisms can provide a more reliable and durable means of treating cancer while avoiding the persistent, deleterious side effects associated with aggressive chemotherapeutic treatment.”
BackgroundJamison, B. L., Lawrance, M. F., Wang, C. J., DeBerg, H. A., Sansom, D. M., Gavin, M. A., Walker, L. S. K., & Campbell, D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.01.569613
“TFs involved in cell cycle progression, such as E2f1, E2f2, Mybl2, and Tfdp1 were expressed in Clusters 4 and 5, while Tox , Nr4a1 , Nr4a3 , and Egr2 , which are associated with NFAT activation downstream of antigen receptor signaling were expressed in Cluster 6 ( 33-35 ).”
Studstill, C. J. (2020) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/88918
T cell exhaustion and challenges of CAR-T cell therapy for solid tumors
Kuramitsu, S., Yamaguchi, J., Nohira, S., Ohno, M., Fujita, M., & Saito, R. (2024) · Japanese Journal of Transplantation and Cellular Therapy · doi:10.7889/tct-23-029
Using structural controllability in detecting effective immune system elements against cancer cellsPreprint
Ebrahimi, A., Fayazi, R., Ghavami, S. B., Safari, E., Khoshbakht, S., Ghobadi, M. Z., Naghizadeh, M. M., & Masoudi‐Nejad, A. (2024) · doi:10.22541/au.170664208.89104563/v1
Mai, L. T., Swaminathan, S., Nguyen, T. H., Charpentier, T., Loucif, H., Carmona‐Pérez, L., Lamarre, A., Heinonen, K. M., Fritz, J. H., & Stäger, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.29.577789
Cellular reprogramming by protein degradation: The next frontier in cancer immunotherapy
Ehinger, E., & Rao, A. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.01.004
Self-citationFischer, M., Luo, J., & Edelblum, K. L. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.11.584444
“NFAT is necessary to induce rapid IFN g production by CD8 T cells (55-57); however, uncoupling NFAT and AP-1 induces cytolytic effector cells to adopt an exhausted phenotype, indicative of reduced cytotoxic effector function (58).”
BackgroundChen, Y., Zhou, P., Gubser, P. M., Leong, Y. A., He, J., Wei, Y., Makota, F. V., Pazhouhandeh, M., Zheng, T., Yunis, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.02.592184
“…factors, in particular NFATC1, TOX and IRF4 drive the sustained expression of inhibitory receptors and contribute to the downregulation of effector function (Alfei et al., 2019; Khan et al., 2019; Man et al., 2017; Martinez et al., 2015; Scott et al., 2019; Seo et al., 2019; Yao et al., 2019).”
BackgroundTranscriptional control of central T cell tolerance by NR4A family nuclear receptorsPreprint
Nielsen, H. V., Mueller, J. L., Hiwa, R., Yang, L., Proekt, I., Rackaityte, E., Aylard, D. A., Scharer, C. D., Anderson, M. S., Au‐Yeung, B. B., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.19.594881
Sheriff, L., Copland, A., Lecky, D. A. J., Done, R., George, L., Jennings, E. K., Rouvray, S., Elliot, T. A. E., Jinks, E., Pallan, L., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.06.597762
Yuan, D. Y., McKeague, M. L., Raghu, V. K., Schoen, R. E., Finn, O. J., & Benos, P. V. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.14.598031
“The AP-1 TF plays an important role in T cell activation ( 45 ) and low AP-1 levels are associated with T cell exhaustion and anergy ( 46-48 ).”
BackgroundWang, X., Almetwali, O., Wang, J., Wright, Z., Patton-Tackett, E. D., Roy, S., Tu, L., & Song, G. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13164783
“These agents can predispose susceptible patient populations to worsening upper gastrointestinal symptoms [26,27], exacerbating the already pro-inflammatory state of the gastrointestinal tract [28].”
BackgroundChen, Y., Zhou, P., Gubser, P. M., Leong, Y. A., He, J., Wei, Y., Makota, F. V., Pazhouhandeh, M., Zheng, T., Yunis, J., et al. (2024) · eLife · doi:10.7554/elife.99084.1
Mechanisms of resistance to immunotherapy
Blauensteiner, B., Lentner, T., & Moreno‐Viedma, V. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13376-3.00007-1 · Cited by 1
Generation of human and murine exhausted CD8+ T cells in vitro
Lacalle, R. A., Blanco, R., García-Lucena, R., & Mañes, S. (2024) · Methods in cell biology · doi:10.1016/bs.mcb.2024.10.007
The role of cellular persistence in CAR T cell therapy
Menkhoff, V. D., Bernhard, S., Michaelides, S., Stock, S., & Kobold, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14064-8.00029-1
Nutrient metabolism shapes epigenetic landscape of T cells
Poch, A., & Utzschneider, D. T. (2025) · Nature Immunology · doi:10.1038/s41590-025-02080-3
Sun, Z., Wu, Y., & Tong, J. (2025) · European Journal of Cancer Care · doi:10.1155/ecc/5062083
Wang, Z., Zhao, J., Huth, W. J., Naik, E., & Choi, K. (2025) · Journal of Immunological Methods · doi:10.1016/j.jim.2025.113904
Phenotypic, Functional and Transcriptional Heterogeneity in T Cell Exhaustion
Zander, R., & Cui, W. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-824465-4.00278-7
Fornier, M., Novarino, J., Naturel, M., Panouillot, M., Dieu‐Nosjean, M., & Marodon, G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.25.666825
“Reduced AP-1 signaling pathway is often observed in exhausted T cells that might be due to binding of unbound NFAT:AP1 complex on co-inhibitory genes (33,34).”
Epigenetic Regulation of CD8 T Cell Differentiation
Passos, T. O., Oliveira, J. P., Melo, G. A., Calôba, C., & Pereira, R. M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-824465-4.00283-0
Self-citationSgodzai, M., Klöster, K., Karakaya, H., Didhevar, P., Horstkemper, L., Rilke, N., Demir, S., Klimas, R., Pedreiturria, X., Blusch, A., et al. (2025) · Brain · doi:10.1093/brain/awaf304
JNK knockdown enhances CAR-T cell cytotoxicityPreprint
Kuhlmann, C. J., Jepson, C. E., Blucas, M. T., Suleiman, F. M., Manda, A., Kamata, Y. N., & Kamata, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.14.666406
Differential regulation of TCR-induced ZFP36 and ZFP36L1 expression by cyclosporin A in CD8+ T cellsPreprint
Evans, M. J., Mitchell, T. J., Zaucha, M., Petkau, G., & Turner, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.24.678222
An overview of small molecule approaches in cancer immunotherapy
Chisholm, J. D., & Kerr, W. G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29808-0.00039-x
Morianos, I., Tsitsopoulou, A., Potaris, Κ., Valakos, D., Fari, O., Vatsellas, G., Bostantzoglou, C., Photiades, A., Gaga, M., Xanthou, G., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655802
Jiang, D., Chen, C., Yan, D., Zhang, X., Liu, X., Yan, D., Cui, D., & Yang, S. (2022) · Figshare · doi:10.6084/m9.figshare.19625438
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626570
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626591
Wang, J., Zhang, Y., Liu, L., Cui, Z., Shi, R., Hou, J., Liu, Z., Yang, L., Wang, L., & Li, Y. (2020) · Figshare · doi:10.6084/m9.figshare.13059437
Self-citationMa, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626639
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626603
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626645
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626597
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626606
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626579
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626615
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626600
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626663
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626642
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626636
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626594
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626630
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626618
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626576
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626657
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626627
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626654
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626609
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626573
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626588
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626612
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626624
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626648
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626651
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626621
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626585
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626633
Ma, C., Yang, C., Peng, A., Sun, T., Ji, X., Mi, J., Wei, L., Shen, S., & Feng, Q. (2024) · Figshare · doi:10.6084/m9.figshare.26626582
Batorov, E. V., Vasilchenko, P. V., & Chernykh, E. R. (2025) · Advances in molecular oncology · doi:10.17650/2313-805x-2025-12-4-73-80
PI3Kδ promotes T cell effector differentiation and plasticity during chronic infectionPreprint
Pichler, A., Cannons, J. L., Golec, D. P., Reilley, J. M., Corral, D., Ansaldo, E., Xu, Q., Paul, S., Schaughency, P., Otaizo-Carrasquero, F. A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.19.695585
CCDC97 is a Promising Predictor in Cancer Diagnosis: A Pan Cancer Analysis
Yang, C., Yang, R., Wang, R., Ma, G., & Hua, L. (2026) · Analytical Cellular Pathology · doi:10.1155/ancp/2230769
“IL-10 and enhanced TGF-β signaling have been demonstrated to contribute CD8 T cell depletion [43 – 45], which has been proven in BRCA and SKCM [46, 47].”
Transcriptional and Epigenetic Regulation of T Cell States in Cancer
Ma, S., Hargreaves, D. C., & Kaech, S. M. (2026) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-061325-042744
Min, S., Xie, L., Wu, Y., Bo, L., Liu, Y., Zhu, Y., & Tan, Y. (2026) · BMC Women s Health · doi:10.1186/s12905-026-04274-9
“The binding of NFAT to the PD-1 promoter induces the expression of Pdcd1 (encoding PD-1) [50, 51].”
Martins, H. S., Teixeira, A. R., Johnson, D. M., & Williams, E. R. (2021) · Archive of International Journal of Cancer and Allied Science · doi:10.51847/8gpm3qli9r
Chen, D., Feng, S., Chen, Z., Weng, Z., Zhang, S., Lin, J., & Wang, Z. (2026) · Journal of Immunology Research · doi:10.1155/jimr/8444562
Metadata
- Authors
- 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., Lamperti, E. D., Ansel, K. M., Mempel, T. R., Lähdesmäki, H., Hogan, P. G., & Rao, A.
- Affiliations
- La Jolla Institute for Immunology (US)
- Harvard University (US)
- Scripps Research Institute (US)
- Helmholtz Munich (DE)
- St. Luke's-Roosevelt Hospital Center (US)
- Boston Children's Hospital (US)
- University of California, San Francisco (US)
- Aalto University (FI)
- Corresponding author
- Lähdesmäki, Harri
- Rao, Anjana
- ORCID
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 42
- Issue
- 2
- Pages
- 265-278
- ISSN
- 1074-7613 (ISSN-L)
- PMC
- PMC4346317
- OpenAlex
- W2018775174
- Cited by
- 857
- References
- 52
- Citations by year
- 2026: 104 · 2025: 97 · 2024: 110 · 2023: 104 · 2022: 84 · 2021: 95 · 2020: 84 · 2019: 69 · 2018: 30 · 2017: 37 · 2016: 26 · 2015: 17
- FWCI
- 18.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Immunity (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Site cant be reached (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Funders
- National Cancer Institute (R01CA150975, U19CA179563, R01CA042471, R01 CA-42471)
- National Institute of Allergy and Infectious Diseases (R01 AI40127, R01AI072543, R01AI095634, AI84167, U19AI109976, R01AI084167, R01AI109842, R01AI040127)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK043351)
- National Center for Research Resources (S10RR027366)
- Topics
- 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
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- NFAT1, T cell exhaustion, CD8+ T cells, T cell anergy, T cell receptor signaling, AP-1, inhibitory receptors, listeriosis, antitumor immunity, transcriptional regulation
- MeSH terms
- Animals, Cells, Cultured, Gene Expression Regulation, Listeriosis, Listeria monocytogenes, Lymphocyte Activation, Mice, Transgenic, Neoplasms, Promoter Regions, Genetic, Receptors, Antigen, T-Cell, Recombinant Proteins, Clonal Anergy, CD8-Positive T-Lymphocytes, Transcription Factor AP-1, NFATC Transcription Factors, Mice
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