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Metabolic programs of T cell tissue residency empower tumour immunity
Open accessAbstract
Tissue resident memory CD8+ T (T RM) cells offer rapid and long-term protection at sites of reinfection 1. Tumour-infiltrating lymphocytes with characteristics of T RM cells maintain enhanced effector functions, predict responses to immunotherapy and accompany better prognoses 2,3. Thus, an improved understanding of the metabolic strategies that enable tissue residency by T cells could inform new approaches to empower immune responses in tissues and solid tumours. Here, to systematically define the basis for the metabolic reprogramming supporting T RM cell differentiation, survival and function, we leveraged in vivo functional genomics, untargeted metabolomics and transcriptomics of virus-specific memory CD8+ T cell populations. We found that memory CD8+ T cells deployed a range of adaptations to tissue residency, including reliance on non-steroidal products of the mevalonate-cholesterol pathway, such as coenzyme Q, driven by increased activity of the transcription factor SREBP2. This metabolic adaptation was most pronounced in the small intestine, where T RM cells interface with dietary cholesterol and maintain a heightened state of activation 4, and was shared by functional tumour-infiltrating lymphocytes in diverse tumour types in mice and humans. Enforcing synthesis of coenzyme Q through deletion of Fdft1 or overexpression of PDSS2 promoted mitochondrial respiration, memory T cell formation following viral infection and enhanced antitumour immunity. In sum, through a systematic exploration of T RM cell metabolism, we reveal how these programs can be leveraged to fuel memory CD8+ T cell formation in the context of acute infections and enhance antitumour immunity.
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“Cholesterol homeostasis has also been implicated in tissue resident memory CD8 T cells (70).”
From Cholesterol efflux protein, ABCA1, supports anticancer functions of myeloid immune cells (2026) · cites this paper as [70]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
GSVA: gene set variation analysis for microarray and RNA-Seq data
Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-7 · Cited by 15,440
Fast, sensitive and accurate integration of single-cell data with Harmony
Korsunsky, I., Millard, N., Fan, J., Slowikowski, K., Zhang, F., Wei, K., Baglaenko, Y., Brenner, M., Loh, P.-R., & Raychaudhuri, S. (2019) · Nature Methods · doi:10.1038/s41592-019-0619-0 · Cited by 10,488
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Gu, Z., Eils, R., & Schlesner, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw313 · Cited by 10,037
QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17204-5 · Cited by 8,908
Aran, D., Looney, A. P., Liu, L., Wu, E., Fong, V., Hsu, A., Chak, S., Naikawadi, R. P., Wolters, P. J., Abate, A. R., et al. (2019) · Nature Immunology · doi:10.1038/s41590-018-0276-y · Cited by 4,984
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
MacLean, B., Tomazela, D. M., Shulman, N., Chambers, M., Finney, G. L., Frewen, B., Kern, R., Tabb, D. L., Liebler, D. C., & MacCoss, M. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq054 · Cited by 4,697
Li, W., Xu, H., Xiao, T., Cong, L., Love, M. I., Zhang, F., Irizarry, R. A., Liu, J. S., Brown, M., & Liu, X. S. (2014) · Genome Biology · doi:10.1186/s13059-014-0554-4 · Cited by 2,684
Easy quantitative assessment of genome editing by sequence trace decomposition
Brinkman, E. K., Chen, T., Amendola, M., & van Steensel, B. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku936 · Cited by 2,390
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Zhou, L., Lian, G., Zhou, T., Cai, Z., Yang, S., Li, W., Cheng, L., Ye, Y., He, M., Lu, J., et al. (2025) · Nature Cancer · doi:10.1038/s43018-025-00937-y · Cited by 146
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Huang, M., Yu, X., Wang, Q., Jiang, Z., Li, X., Chen, W., & Song, C. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-023-01455-z · Cited by 71
Venkatraman, K., Lee, C. T., García, G. C., Mahapatra, A., Milshteyn, D., Perkins, G. A., Keun-young Kim, A., Pasolli, H. A., Phan, S., Lippincott‐Schwartz, J., et al. (2023) · The EMBO Journal · doi:10.15252/embj.2023114054 · Cited by 68
Liu, X., Shen, M., Bing, T., Zhang, X., Li, Y., Cai, Q., Yang, X., & Yu, Y. (2024) · Advanced Science · doi:10.1002/advs.202402208 · Cited by 65
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Wu, J., Xue, X., & Qu, H. (2025) · Nano TransMed · doi:10.1016/j.ntm.2025.100092 · Cited by 45
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Green, W. D., Gomez, A., Plotkin, A. L., Pratt, B. M., Merritt, E. F., Mullins, G. N., Kren, N. P., Modliszewski, J. L., Zhabotynsky, V., Woodcock, M. G., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.04.030 · Cited by 34
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Zou, D., Li, X. C., & Chen, W. (2025) · Cellular and Molecular Immunology · doi:10.1038/s41423-025-01321-7 · Cited by 30
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Dou, T., Li, J., Zhang, Y., Pei, W., Zhang, B., Wang, B., Wang, Y., & Jia, H. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1368687 · Cited by 29
Gui, L., Chen, K., Yan, J., Chen, P., Gao, W., & Ma, B. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101913 · Cited by 29
Raynor, J. L., Collins, N., Shi, H., Guy, C. S., Saravia, J., Lim, S. A., Chapman, N. M., Zhou, P., Wang, Y., Sun, Y., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.09.013 · Cited by 25
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Dong, S., Li, X., Huang, Q., Li, Y., Li, J., Zhu, X., Xue, C., Chen, R., Zeng, Y., Wu, J., et al. (2025) · Drug Resistance Updates · doi:10.1016/j.drup.2025.101215 · Cited by 25
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Liu, N., Zhu, X., Wu, C., Liu, Y.-Y., Chen, M., & Gu, J.-H. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-02240-8 · Cited by 21
Liang, G., Huang, J., Chen, J., Wen, X., Li, R., Xie, H., Zhang, Z., Chen, Z., Chen, Y., Xian, Z., et al. (2024) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2024.02.014 · Cited by 20
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Gao, Y., Kennelly, J. P., Xu, X., Whang, E. C., Ferrari, A., Bedard, A. H., Mack, J. J., Nguyen, A., Srikanth, S., Weston, T. A., et al. (2025) · Science · doi:10.1126/science.adt4169 · Cited by 19
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Self-citationLiu, S., Wang, P., Wang, P., Zhao, Z., Zhang, X., Pan, Y., & Pan, J. (2024) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-024-03709-2 · Cited by 18
Tissue‐resident memory T cells in diseases and therapeutic strategies
Xie, D., Lu, G., Mai, G., Guo, Q., & Xu, G. (2025) · MedComm · doi:10.1002/mco2.70053 · Cited by 19
Luo, L., Lechuga‐Vieco, A. V., Sattentau, C., Borsa, M., & Simon, A. K. (2025) · EMBO Reports · doi:10.1038/s44319-025-00536-z · Cited by 14
Xu, L., Ye, L., & Huang, Q. (2025) · MedComm · doi:10.1002/mco2.70132 · Cited by 16
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Murakami, M. (2024) · Inflammation and Regeneration · doi:10.1186/s41232-024-00333-6 · Cited by 13
Chen, D. G., Xie, J., Choi, J., Ng, R. H., Zhang, R., Li, S., Edmark, R., Zheng, H., Solomon, B. D., Campbell, K. M., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113872 · Cited by 11
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Lan, Z., Yang, Y., Li, L., Wang, C., Sun, Z., Wang, Q., & Liu, Y. (2025) · British Journal of Cancer · doi:10.1038/s41416-025-03075-5 · Cited by 11
Li, J., Hu, X., & Zhang, S. (2025) · Oncology Letters · doi:10.3892/ol.2025.15281 · Cited by 11
Scharping, N. E., Ge, X., Matias, M. I., Jiang, F., Cafferata, A., Heeg, M., Monell, A., Galletti, G., Cheung, K. P., Rock, A. E., et al. (2025) · Cell · doi:10.1016/j.cell.2026.02.019 · Cited by 12
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Near‐Infrared‐II Nanomaterials for Activatable Photodiagnosis and Phototherapy
Jiang, W., Lin, L., Wu, P., Lin, H., & Sui, J. H. (2024) · Chemistry - A European Journal · doi:10.1002/chem.202400816 · Cited by 10
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“Cholesterol homeostasis has also been implicated in tissue-resident memory CD8 T cells ( 82 ).”
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Kiuchi, M., Nemoto, M., Yagyu, H., Aoki, A., Iwamura, C., Sugimoto, H., Masuo, Y., Morita, H., Ma, S., Okuno, Y., et al. (2025) · Science · doi:10.1126/science.adp0714 · Cited by 9
Spatial organization of tissue-resident memory T cells
Burn, T. N., & Mackay, L. K. (2026) · Immunity · doi:10.1016/j.immuni.2026.03.009 · Cited by 14
Nutritional competition within tumor microenvironment dictates anti-tumor immunity
Fei, Y., Cao, X., & Liu, J. (2023) · National Science Review · doi:10.1093/nsr/nwad277 · Cited by 8
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Wang, K., Zhang, Y., Si, C., Cao, Y., Shao, P., Zhang, P., Wang, N., Su, G., Qian, J., & Liu, Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e39425 · Cited by 7
SREBP2 as a central player in cancer progression: potential for targeted therapeutics
Chen, R., Chen, T., Li, X., Yu, J., Lin, M., Wen, S., Zhang, M., Chen, J., Yi, B., Zhong, H., et al. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1535691 · Cited by 6
Wei, H., Wang, Y., Jiang, S., Zhang, X., & Zhang, J. (2025) · Vaccine · doi:10.1016/j.vaccine.2025.127605 · Cited by 6
Tissue-Resident Memory T Cells in Cancer Metastasis Control
Montgomery, T., Master, A. P., Jin, Z., Shi, Q., Lai, Q., Desai, R., Zhang, W., Maharjan, C. K., & Kolb, R. H. (2025) · Cells · doi:10.3390/cells14161297 · Cited by 6
Metabolic determinants of cancer immunotherapy outcomes identified by plasma profiling
Suissa, D., Fidelle, M., Reich, E., Pham, T.-N., Thomas, S., Björk, J. R., Liu, P., Zhao, L., Kitaoka, K., Piard, E., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04481-9 · Cited by 9
Kong, D., Wang, Z.-L., Wang, H., Yang, R., Zhang, W., Cao, L., Nian, Y., Ren, J., Lu, J., Chen, T., et al. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.112955 · Cited by 6
Metabolic control of innate-like T cells
Riffelmacher, T., & Kronenberg, M. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01219-5 · Cited by 6
Cristae formation is a mechanical buckling event controlled by the inner membrane lipidomePreprint
Venkatraman, K., Lee, C. T., García, G. C., Mahapatra, A., Milshteyn, D., Perkins, G. A., Keun-young Kim, A., Pasolli, H. A., Phan, S., Lippincott‐Schwartz, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.13.532310 · Cited by 6
Ehlers, C., Biermann, H., Thiele, T., Schupp, J. C., Villa, M., Jänke, C., Risser, L. M., Witte, T., Kalinke, U., Seeliger, B., et al. (2025) · Lara D. Veeken · doi:10.1093/rheumatology/keaf198 · Cited by 6
Lin, H., Qi, J.-W., Lin, S.-W., Lin, M.-C., Chen, Z., Guo, Y., Zhang, X., Wang, Q.-L., Cai, T., Yang, W., et al. (2025) · The FASEB Journal · doi:10.1096/fj.202500115r · Cited by 5
Tang, C., Wu, Y., Jin, Y., Li, J., Zeng, C., Liao, P., & Long, S. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.157386 · Cited by 5
Ai, L., Kang, D., Feng, Z., Lian, H., Gao, X., Wu, X., Gao, H., Li, X., Kou, F., Lin, J., et al. (2025) · Cellular and Molecular Immunology · doi:10.1038/s41423-025-01361-z · Cited by 6
GPR25 promotes the formation of lung and liver tissue-resident memory CD8 T cells
Han, F., Park, S., Shin, J. W., Castañeda-Castro, F. E., Hernández, J., Schmiedel, B. J., Liu, C., Jackson, M. R., Ottensmeier, C. H. H., & Vijayanand, P. (2025) · Science Immunology · doi:10.1126/sciimmunol.adu2089 · Cited by 4
Cholesterol metabolism in immune cells: From mechanisms to therapeutic opportunities
Yin, M., Liang, T., Zhang, Y., Wang, G., Yang, W., & Xu, C. (2026) · Immunity · doi:10.1016/j.immuni.2026.05.007 · Cited by 5
Tang, K., Han, Y., Sun, D., Dong, X., Han, T., Wei, H., Shao, W., Hu, J., Liu, Z., Zhang, L., et al. (2025) · Genome Medicine · doi:10.1186/s13073-025-01572-z · Cited by 4
Brown, E., Nguyen, P. N. U., & Xavier, R. J. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.07.012 · Cited by 5
Du, Y., Yang, Y., Zheng, B., Zhang, Q., Zhou, S., & Zhao, L. (2025) · Oncogene · doi:10.1038/s41388-025-03273-8 · Cited by 4
The role of tumor microenvironment in regulating tumor cell dormancy
Xiao, Y., Xue, H., Hua, G., Shao, C., & Pan, Y. (2025) · Life Sciences · doi:10.1016/j.lfs.2025.124126 · Cited by 3
Williams, M., Joffe, D., Mandel, J. L., Schepps, S., Wallace, M., Portocarrero, C. P., Abinader, O., Mitra, R., Mishra, A., & Nikbakht, N. (2025) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2025.11.013 · Cited by 3
Trang, B. K., Sharma, P. K., Cook, L. E., Mount, Z., Thomas, R. M., Kulkarni, N. N., Cabrera, E. C., Rachimi, S., Pahl, M. C., Pippin, J. A., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03880-4 · Cited by 7
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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
Disrupting cholesterol homeostasis in T cells boosts antitumour responses
Kennewick, K. T., & Bensinger, S. J. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01240-x · Cited by 2
Self-citationObesity rewires CD8+ T cell iron metabolism in adipose tissue to fuel metabolic inflammation
Dai, J., Zeng, Z., Wang, L., Yuan, W., Rocha, K. C. E., Park, J., An, G., Wang, K., Song, J., Xiang, Q., et al. (2025) · Metabolism · doi:10.1016/j.metabol.2025.156438 · Cited by 2
Zhang, J., Duan, K., Liu, Q., Chen, S., Zheng, H., Liu, Y., Qian, J., Yin, M., Liu, J., Li, J., et al. (2026) · Bioactive Materials · doi:10.1016/j.bioactmat.2026.02.040 · Cited by 2
Memory T cell aging and rejuvenation
Adamo, S., Rurik, J. G., Gustafson, C. E., & Buggert, M. (2026) · Immunity · doi:10.1016/j.immuni.2026.02.018 · Cited by 4
Takehara, K. K., Monell, A., Luna, V., Melisso, B., Mempel, K. M., Cheung, K. P., Zane, N., Challita, P. P., Ferry, A., Xu, E. C., et al. (2026) · Immunity · doi:10.1016/j.immuni.2026.03.003 · Cited by 2
Self-citationWang, H. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1614012 · Cited by 2
ZFP1 is a biomarker related to poor prognosis and immunity in gastric cancer
Yao, J., Ma, F., Shi, D., & Da, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-72387-y · Cited by 2
Bataclan, M., Leoni, C., Moro, S. G., Pecoraro, M., Wong, E. H., Heissmeyer, V., & Monticelli, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.24.577016 · Cited by 2
CIMT 2024: Report on the 21st Annual Meeting of the Association for Cancer Immunotherapy
Ahrberg, Y., Dallmann, J., Freitag, J., Hassan, A., Jung, C., Kiefer, J., Muralidharan, A. M., Peter, M., & Beck, J. D. (2024) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2024.2381925 · Cited by 2
Trang, B. K., Sharma, P. K., Cook, L. E., Mount, Z., Thomas, R. M., Kulkarni, N. N., Cabrera, E. C., Rachimi, S., Pahl, M. C., Pippin, J. A., et al. (2024) · medRxiv · doi:10.1101/2024.08.12.24311676 · Cited by 2
Carroll, D. D., Cira, K., Archer, J., Shapiro, J. W., Pen, U.-Y., Tieri, D. A., Leonor, L., Roofchayee, N. D., Yee, S. S., Wahab, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.31.697156 · Cited by 2
Hartigan, C. R., McDonald-Hyman, C. S., Pavletic, S. Z., & Blazar, B. R. (2025) · Transplantation · doi:10.1097/tp.0000000000005444 · Cited by 1
Zhang, Y., Shao, Y., Li, X., Zhou, D., Zhou, J., Yan, Q., Gao, W., & Yang, L. (2026) · Communications Biology · doi:10.1038/s42003-026-09678-9 · Cited by 1
Molecular Targets for Cancer Immunotherapy: Focusing on (Immune and Tumor) Cell-Derived Metabolites
Quintans, R. D. T., de Freitas, Â. A., de Souza, M. M., Dias-Lopes, G., & Silva, R. C. M. C. (2026) · Applied Sciences · doi:10.3390/app16052461 · Cited by 1
Zhang, K., Zhu, S., Zhang, M., Hu, H., Qin, S., Li, H., Zhao, P., & Xu, Y. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1781447 · Cited by 1
Spatial instruction of tissue immunity
Reina‐Campos, M. (2026) · ImmunoHorizons · doi:10.1093/immhor/vlaf082 · Cited by 1
Self-citation
Metadata
- Authors
- Reina-Campos, M., Heeg, M., Kennewick, K., Mathews, I. T., Galletti, G., Luna, V., Nguyen, Q., Huang, H., Milner, J. J., Hu, K. H., Vichaidit, A., Santillano, N., Boland, B. S., Chang, J. T., Jain, M., Sharma, S., Krummel, M. F., Chi, H., Bensinger, S. J., & Goldrath, A. W.
- Affiliations
- University of California San Diego (US)
- University of California, Los Angeles (US)
- La Jolla Institute for Immunology (US)
- St. Jude Children's Research Hospital (US)
- University of North Carolina at Chapel Hill (US)
- University of California, San Francisco (US)
- Corresponding author
- Goldrath, Ananda W.
- ORCID
- Venue
- Nature
- Published
- 2023-08-30
- Volume
- 621
- Issue
- 7977
- Pages
- 179-187
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC11238873
- OpenAlex
- W4386304015
- Cited by
- 132
- References
- 69
- Citations by year
- 2026: 32 · 2025: 54 · 2024: 41 · 2023: 5
- FWCI
- 14.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute (GT14887)
- Cancer Research Institute (CRI4145)
- Leona M. and Harry B. Helmsley Charitable Trust
- National Institutes of Health (1s10od021815-01, 1s10od026929-01, P30 014195, CA030199, DK063720, AI132122, HL146358, AI067545)
- University of California, San Diego (#S10 OD026929)
- University of California, San Francisco (P30DK063720, DK063720)
- National Heart, Lung, and Blood Institute (P01HL146358, R01HL157710)
- National Cancer Institute (P30014195, CA 030199, 1S10OD021815, R01CA256133, P30CA030199, P30CA014195, P50CA257911, R01CA197363)
- National Institute of Allergy and Infectious Diseases (R01AI067545, R01AI150282, R01AI072117, P01AI132122, R37AI067545, R37AI052116)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK063720)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- tissue-resident memory T cells, tumor-infiltrating lymphocytes, coenzyme Q biosynthesis, SREBP2, FDFT1, PDSS2, mitochondrial respiration, antitumor immunity, memory T cell differentiation, viral infection, small intestine, immunotherapy
- MeSH terms
- Animals, Cholesterol, Humans, Immunologic Memory, Intestine, Small, Mevalonic Acid, Mitochondria, Neoplasms, Ubiquinone, Virus Diseases, Viruses, Lymphocytes, Tumor-Infiltrating, CD8-Positive T-Lymphocytes, Cell Respiration, Alkyl and Aryl Transferases, Mice, Sterol Regulatory Element Binding Protein 2, Metabolomics
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