Ribosome biogenesis and cell growth: mTOR coordinates transcription by all three classes of nuclear RNA polymerases
Abstract
The target of rapamycin (TOR) signal-transduction pathway is an important mechanism by which eucaryotic cells adjust their protein biosynthetic capacity to nutrient availability. Both in yeast and in mammals, the TOR pathway regulates the synthesis of ribosomal components, including transcription and processing of pre-rRNA, expression of ribosomal proteins and the synthesis of 5S rRNA. Expression of the genes encoding the numerous constituents of ribosomes requires transcription by all three classes of nuclear RNA polymerases. In this review, we summarize recent advances in understanding the interplay among nutrient availability, transcriptional control and ribosome biogenesis. We focus on transcription in response to nutrients, detailing the relevant downstream targets of TOR in yeast and mammals. The critical role of TOR in linking environmental queues to ribosome biogenesis provides an efficient means by which cells alter their overall protein biosynthetic capacity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
mTOR signaling regulates ribosome biogenesis across multiple cell lines.
“more recent evidence suggests mTOR signaling regulates ribosome biogenesis across multiple cell lines [reviewed in (Mayer and Grummt, 2006)]”
From Skeletal Muscle Ribosome and Mitochondrial Biogenesis in Response to Different Exercise Training Modalities (2021) · cites this paper as Mayer and Grummt, 2006
Cites
Life on a planet of its own: Regulation of RNA polymerase I transcription in the nucleolus
Grummt, I. (2003) · Genes & Development · doi:10.1101/gad.1098503r · Cited by 540 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Boulon, S., Westman, B. J., Hutten, S., Boisvert, F.-M., & Lamond, A. I. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.024 · Cited by 1,103 · see citing works
Meloche, S., & Pouysségur, J. (2007) · Oncogene · doi:10.1038/sj.onc.1210414 · Cited by 1,091 · see citing works
Signalling to translation: How signal transduction pathways control the protein synthetic machinery
Proud, C. G. (2007) · Biochemical Journal · doi:10.1042/bj20070024 · Cited by 520 · see citing works
Analysis of Nucleolar Protein Dynamics Reveals the Nuclear Degradation of Ribosomal Proteins
Lam, Y. W., Lamond, A. I., Mann, M., & Andersen, J. S. (2007) · Current Biology · doi:10.1016/j.cub.2007.03.064 · Cited by 369 · see citing works
The role of skeletal muscle mTOR in the regulation of mechanical load‐induced growth
Goodman, C. A., Frey, J. W., Mabrey, D. M., Jacobs, B. L., Lincoln, H. C., You, J., & Hornberger, T. A. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2011.218255 · Cited by 297 · see citing works
Inositol pyrophosphates: between signalling and metabolism
Wilson, M. S. C., Livermore, T. M., & Saiardi, A. (2013) · Biochemical Journal · doi:10.1042/bj20130118 · Cited by 256 · see citing works
mTORC1 signaling controls multiple steps in ribosome biogenesis
Iadevaia, V., Liu, R., & Proud, C. G. (2014) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2014.08.004 · Cited by 248 · see citing works
Jastrzebski, K., Hannan, K. M., Tchoubrieva, E. B., Hannan, R. D., & Pearson, R. B. (2007) · Growth Factors · doi:10.1080/08977190701779101 · Cited by 240 · see citing works
mTOR phosphorylates IMP2 to promote IGF2 mRNA translation by internal ribosomal entry
Dai, N., Rapley, J., Angel, M., Yanik, M. F., Blower, M. D., & Avruch, J. (2011) · Genes & Development · doi:10.1101/gad.2042311 · Cited by 208 · see citing works
Stec, M. J., Kelly, N. A., Many, G. M., Windham, S. T., Tuggle, S. C., & Bamman, M. M. (2016) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00486.2015 · Cited by 161 · see citing works
LIM, C., NUNES, E. A., CURRIER, B. S., MCLEOD, J. C., THOMAS, A. C. Q., & PHILLIPS, S. M. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002929 · Cited by 142 · see citing works
Regulation of ribosome biogenesis in skeletal muscle hypertrophy
Figueiredo, V. C., & McCarthy, J. J. (2019) · Physiology · doi:10.1152/physiol.00034.2018 · Cited by 140 · see citing works
Syncytial Knots (Tenney-Parker Changes) in the Human Placenta
Fogarty, N. M. E., Ferguson-Smith, A. C., & Burton, G. J. (2013) · The American Journal of Pathology · doi:10.1016/j.ajpath.2013.03.016 · Cited by 116 · see citing works
Translation Regulation as a Therapeutic Target in Cancer
Grzmil, M., & Hemmings, B. A. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-0026 · Cited by 103 · see citing works
Conserved regulators of nucleolar size revealed by global phenotypic analyses
Neumüller, R. A., Gross, T., Samsonova, A. A., Vinayagam, A., Buckner, M., Founk, K., Hu, Y., Sharifpoor, S., Rosebrock, A. P., Andrews, B., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004145 · Cited by 87 · see citing works
The effects of age and resistance loading on skeletal muscle ribosome biogenesis
Stec, M. J., Mayhew, D. L., & Bamman, M. M. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00489.2015 · Cited by 80 · see citing works
von Walden, F., Liu, C., Aurigemma, N., & Nader, G. A. (2016) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00144.2016 · Cited by 70 · see citing works
Mirzoev, T. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21217940 · Cited by 65 · see citing works
Rybchyn, M. S., De Silva, W. G. M., Sequeira, V. B., McCarthy, B. Y., Dilley, A. V., Dixon, K. M., Halliday, G. M., & Mason, R. S. (2018) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2017.11.037 · Cited by 63 · see citing works
Mesquita, P. H. C., Vann, C. G., Phillips, S. M., McKendry, J., Young, K. C., Kavazis, A. N., & Roberts, M. D. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.725866 · Cited by 62 · see citing works
Kirby, T. J. (2019) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01031.2018 · Cited by 37 · see citing works
Mobley, C. B., Fox, C. D., Thompson, R. M., Healy, J. C., Santucci, V., Kephart, W. C., McCloskey, A. E., Kim, M., Pascoe, D. D., Martin, J. S., et al. (2016) · Amino Acids · doi:10.1007/s00726-015-2121-z · Cited by 32 · see citing works
- Authors
- Mayer, C., & Grummt, I.
- Affiliations
- German Cancer Research Center (DE)
- Corresponding author
- Grummt, I
- Venue
- Oncogene
- Published
- 2006-10-16
- Volume
- 25
- Issue
- 48
- Pages
- 6384-6391
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W1972087054
- Cited by
- 568
- References
- 1
- Citations by year
- 2026: 20 · 2025: 11 · 2024: 24 · 2023: 35 · 2022: 40 · 2021: 58 · 2020: 37 · 2019: 32 · 2018: 28 · 2017: 26 · 2016: 29 · 2015: 25 · 2014: 33 · 2013: 42 · 2012: 21
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Oncogene (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Keywords
- ribosome biogenesis, mTOR signaling, TOR signaling, nutrient sensing, pre-rRNA transcription, nuclear RNA polymerase, ribosomal protein gene expression, cell growth, protein synthesis, yeast, mammals
- MeSH terms
- Animals, Cell Division, Cell Nucleus, DNA Polymerase I, Humans, Models, Biological, Protein Kinases, Ribosomes, DNA-Directed RNA Polymerases, Transcription, Genetic, Phosphatidylinositol 3-Kinases, TOR Serine-Threonine Kinases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
