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The Immunosuppressant Rapamycin Mimics a Starvation-Like Signal Distinct from Amino Acid and Glucose Deprivation
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RAFT1/FRAP/mTOR is a key regulator of cell growth and division and the mammalian target of rapamycin, an immunosuppressive and anticancer drug. Rapamycin deprivation and nutrient deprivation have similar effects on the activity of S6 kinase 1 (S6K1) and 4E-BP1, two downstream effectors of RAFT1, but the relationship between nutrient- and rapamycin-sensitive pathways is unknown. Using transcriptional profiling, we show that, in human BJAB B-lymphoma cells and murine CTLL-2 T lymphocytes, rapamycin treatment affects the expression of many genes involved in nutrient and protein metabolism. The rapamycin-induced transcriptional profile is distinct from those induced by glucose, glutamine, or leucine deprivation but is most similar to that induced by amino acid deprivation. In particular, rapamycin treatment and amino acid deprivation up-regulate genes involved in nutrient catabolism and energy production and down-regulate genes participating in lipid and nucleotide synthesis and in protein synthesis, turnover, and folding. Surprisingly, however, rapamycin had effects opposite from those of amino acid starvation on the expression of a large group of genes involved in the synthesis, transport, and use of amino acids. Supported by measurements of nutrient use, the data suggest that RAFT1 is an energy and nutrient sensor and that rapamycin mimics a signal generated by the starvation of amino acids but that the signal is unlikely to be the absence of amino acids themselves. These observations underscore the importance of metabolism in controlling lymphocyte proliferation and offer a novel explanation for immunosuppression by rapamycin.
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Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Gene expression profile of aging and its retardation by caloric restriction
Lee, C.-K., Klopp, R. G., Weindruch, R., & Prolla, T. A. (1999) · Science · doi:10.1126/science.285.5432.1390 · Cited by 1,473
Phosphatidic Acid-Mediated Mitogenic Activation of mTOR Signaling
Fang, Y., Vilella-Bach, M., Bachmann, R., Flanigan, A., & Chen, J. (2001) · Science · doi:10.1126/science.1066015 · Cited by 1,055
Isolation of a Protein Target of the FKBP12-Rapamycin Complex in Mammalian Cells
Sabers, C. J., Martin, M. M., Brunn, G. J., Williams, J. M., Dumont, F. J., Wiederrecht, G., & Abraham, R. T. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.2.815 · Cited by 887
Cited by
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Self-citationTOR signaling in growth and metabolism
Wullschleger, S., Loewith, R., & Hall, M. N. (2006) · Cell · doi:10.1016/j.cell.2006.01.016 · Cited by 5,787
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
Hypoxia signalling in cancer and approaches to enforce tumour regression
Pouysségur, J., Dayan, F., & Mazure, N. M. (2006) · Nature · doi:10.1038/nature04871 · Cited by 1,676
Enhancing CD8 T-cell memory by modulating fatty acid metabolism
Pearce, E. L., Walsh, M. C., Cejas, P. J., Harms, G. M., Shen, H., Wang, L.-S., Jones, R. G., & Choi, Y. (2009) · Nature · doi:10.1038/nature08097 · Cited by 1,559
mTOR controls mitochondrial oxidative function through a YY1–PGC-1α transcriptional complex
Cunningham, J. T., Rodgers, J. T., Arlow, D. H., Vazquez, F., Mootha, V. K., & Puigserver, P. (2007) · Nature · doi:10.1038/nature06322 · Cited by 1,488
mTOR signalling and cellular metabolism are mutual determinants in cancer
Mossmann, D., Park, S., & Hall, M. N. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0074-8 · Cited by 1,088
Regulation and function of ribosomal protein S6 kinase (S6K) within mTOR signalling networks
Magnuson, B., Ekim, B., & Fingar, D. C. (2012) · Biochemical Journal · doi:10.1042/bj20110892 · Cited by 1,015
Hypoxia signalling through mTOR and the unfolded protein response in cancer
Wouters, B. G., & Koritzinsky, M. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2501 · Cited by 894
The mTOR Signalling Pathway in Human Cancer
Pópulo, H., Lopes, J. M., & Soares, P. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms13021886 · Cited by 830
Carr, E. L., Kelman, A., Wu, G. S., Gopaul, R., Senkevitch, E., Aghvanyan, A., Turay, A. M., & Frauwirth, K. A. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.0903586 · Cited by 830
Li, S., Brown, M. S., & Goldstein, J. L. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914798107 · Cited by 733
Houde, V. P., Brûlé, S., Festuccia, W. T., Blanchard, P.-G., Bellmann, K., Deshaies, Y., & Marette, A. (2010) · Diabetes · doi:10.2337/db09-1324 · Cited by 456
Inducing and exploiting vulnerabilities for the treatment of liver cancer
Wang, C., Vegna, S., Jin, H., Benedict, B., Lieftink, C., Ramirez, C., de Oliveira, R. L., Morris, B., Gadiot, J., Wang, W., et al. (2019) · Nature · doi:10.1038/s41586-019-1607-3 · Cited by 427
Muscle inactivation of mTOR causes metabolic and dystrophin defects leading to severe myopathy
Risson, V., Mazelin, L., Roceri, M., Sanchez, H., Moncollin, V., Corneloup, C., Richard-Bulteau, H., Vignaud, A., Baas, D., Defour, A., et al. (2009) · Journal of Cell Biology · doi:10.1083/jcb.200903131 · Cited by 381
mTOR signaling and its roles in normal and abnormal brain development
Takei, N., & Nawa, H. (2014) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2014.00028 · Cited by 317
Metabolism in T cell activation and differentiation
Pearce, E. L. (2010) · Current Opinion in Immunology · doi:10.1016/j.coi.2010.01.018 · Cited by 314
Reiling, J. H., & Sabatini, D. M. (2006) · Oncogene · doi:10.1038/sj.onc.1209889 · Cited by 311
Self-citationRoos, S., Jansson, N., Palmberg, I., Säljö, K., Powell, T. L., & Jansson, T. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2007.129676 · Cited by 283
Park, Y., Reyna-Neyra, A., Philippe, L., & Thoreen, C. C. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.04.042 · Cited by 278
Activity- and mTOR-dependent suppression of Kv1.1 channel mRNA translation in dendrites
Raab-Graham, K. F., Haddick, P. C. G., Jan, Y. N., & Jan, L. Y. (2006) · Science · doi:10.1126/science.1131693 · Cited by 267
Rapamycin: an anti-cancer immunosuppressant?
Law, B. K. (2005) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2004.09.009 · Cited by 252
Averous, J., Fonseca, B. D., & Proud, C. G. (2008) · Oncogene · doi:10.1038/sj.onc.1210715 · Cited by 194
Rosario, F. J., Kanai, Y., Powell, T. L., & Jansson, T. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.238014 · Cited by 185
The central moTOR of metabolism
Simcox, J., & Lamming, D. W. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.02.024 · Cited by 174
Placental mTOR links maternal nutrient availability to fetal growth
Roos, S., Powell, T. L., & Jansson, T. (2009) · Biochemical Society Transactions · doi:10.1042/bst0370295 · Cited by 156
The Role of Placental Nutrient Sensing in Maternal-Fetal Resource Allocation1
Díaz, P., Powell, T. L., & Jansson, T. (2014) · Biology of Reproduction · doi:10.1095/biolreprod.114.121798 · Cited by 158
Neklesa, T. K., & Davis, R. W. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000515 · Cited by 151
Regulation of placental amino acid transporter activity by mammalian target of rapamycin
Roos, S., Kanai, Y., Prasad, P. D., Powell, T. L., & Jansson, T. (2009) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00330.2008 · Cited by 150
TOR‐mediated regulation of metabolism in aging
Antikainen, H., Driscoll, M., Haspel, G., & Dobrowolski, R. (2017) · Aging Cell · doi:10.1111/acel.12689 · Cited by 122
“Treatment with specific mTOR inhibitors, such as Torin, has been shown to lower expression levels of several genes involved in lipogenesis (Peng et al., 2002; Mauvoisin et al., 2007) by preventing the nuclear accumulation of SREBP in immortalized human retinal pigment epithelial cells (Porstmann et…”
BackgroundEhninger, D., De Vries, P. J., & Silva, A. J. (2009) · Journal of Intellectual Disability Research · doi:10.1111/j.1365-2788.2009.01208.x · Cited by 120
Drummond, M. J., Fry, C. S., Glynn, E. L., Timmerman, K. L., Dickinson, J. M., Walker, D. K., Gundermann, D. M., Volpi, E., & Rasmussen, B. B. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01408.2010 · Cited by 120
Dreesen, I. A. J., & Fussenegger, M. (2011) · Biotechnology and Bioengineering · doi:10.1002/bit.22990 · Cited by 110
Chen, K., Deng, S., Lu, H., Zheng, Y., Yang, G., Kim, D., Cao, Q., & Wu, J. Q. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072567 · Cited by 83
Rosario, F. J., Gupta, M. B., Myatt, L., Powell, T. L., Glenn, J. P., Cox, L., & Jansson, T. (2019) · Scientific Reports · doi:10.1038/s41598-018-36265-8 · Cited by 77
Bakker, L. E. H., van Schinkel, L. D., Guigas, B., Streefland, T. C. M., Jonker, J. T., van Klinken, J. B., van der Zon, G. C. M., Lamb, H. J., Smit, J. W. A., Pijl, H., et al. (2014) · Diabetes · doi:10.2337/db13-0696 · Cited by 77
Ganguly, A., Collis, L., & Devaskar, S. U. (2012) · Endocrinology · doi:10.1210/en.2011-1973 · Cited by 56
Kogan, K., Spear, E. D., Kaiser, C. A., & Fass, D. (2010) · Journal of Molecular Biology · doi:10.1016/j.jmb.2010.07.034 · Cited by 56
Fujita, Y., Ito, M., Nozawa, Y., Yoneda, M., Oshida, Y., & Tanaka, M. (2007) · Mitochondrion · doi:10.1016/j.mito.2006.11.003 · Cited by 34
Metadata
- Authors
- Peng, T., Golub, T. R., & Sabatini, D. M.
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2002-08-01
- Volume
- 22
- Issue
- 15
- Pages
- 5575-5584
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- OpenAlex
- W2150178760
- Cited by
- 395
- References
- 4
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- green
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