The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Modulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression
Open accessAbstract
SUMMARY Transfer RNAs (tRNAs) are primarily viewed as static contributors to gene expression. By developing a high-throughput tRNA profiling method, we find that specific tRNAs are upregulated in human breast cancer cells as they gain metastatic activity. Through loss-of-function, gain-of-function, and clinical-association studies, we implicate tRNAGluUUC and tRNAArgCCG as promoters of breast cancer metastasis. Upregulation of these tRNAs enhances stability and ribosome occupancy of transcripts enriched for their cognate codons. Specifically, tRNAGluUUC promotes metastatic progression by directly enhancing EXOSC2 expression and enhancing GRIPAP1—constituting an “inducible” pathway driven by a tRNA. The cellular proteomic shift toward a prometastatic state mirrors global tRNA shifts, allowing for cell-state and cell-type transgene expression optimization through codon content quantification. TRNA modulation represents a mechanism by which cells achieve altered expression of specific transcripts and proteins. TRNAs are thus dynamic regulators of gene expression and the tRNA codon landscape can causally and specifically impact disease progression.
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.
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
Genes that mediate breast cancer metastasis to lung
Minn, A. J., Gupta, G. P., Siegel, P. M., Bos, P. D., Shu, W., Giri, D. D., Viale, A., Olshen, A. B., Gerald, W. L., & Massagué, J. (2005) · Nature · doi:10.1038/nature03799 · Cited by 2,922
Endogenous human microRNAs that suppress breast cancer metastasis
Tavazoie, S. F., Alarcón, C., Oskarsson, T., Padua, D., Wang, Q., Bos, P. D., Gerald, W. L., & Massagué, J. (2008) · Nature · doi:10.1038/nature06487 · Cited by 1,857
Self-citationSynonymous but not the same: the causes and consequences of codon bias
Plotkin, J. B., & Kudla, G. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2899 · Cited by 1,685
Codon bias and heterologous protein expression
Gustafsson, C., Govindarajan, S., & Minshull, J. (2004) · Trends in Biotechnology · doi:10.1016/j.tibtech.2004.04.006 · Cited by 1,330
Li, G.-W., Burkhardt, D., Gross, C., & Weissman, J. S. (2014) · Cell · doi:10.1016/j.cell.2014.02.033 · Cited by 1,251
Codon Optimality Is a Major Determinant of mRNA Stability
Presnyak, V., Alhusaini, N., Chen, Y.-H., Martin, S., Morris, N., Kline, N., Olson, S., Weinberg, D., Baker, K. E., Graveley, B. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.02.029 · Cited by 1,078
Mistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution
Drummond, D. A., & Wilke, C. O. (2008) · Cell · doi:10.1016/j.cell.2008.05.042 · Cited by 1,053
Solving the riddle of codon usage preferences: a test for translational selection
Reis, M. D. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh834 · Cited by 755
Ribosome Profiling Reveals Pervasive Translation Outside of Annotated Protein-Coding Genes
Ingolia, N. T., Brar, G. A., Stern-Ginossar, N., Harris, M. S., Talhouarne, G. J. S., Jackson, S. E., Wills, M. R., & Weissman, J. S. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.07.045 · Cited by 652
General Translational Repression by Activators of mRNA Decapping
Coller, J., & Parker, R. (2005) · Cell · doi:10.1016/j.cell.2005.07.012 · Cited by 628
Cited by
Gerstberger, S., Jiang, Q., & Ganesh, K. (2023) · Cell · doi:10.1016/j.cell.2023.03.003 · Cited by 913
The emerging complexity of the tRNA world: mammalian tRNAs beyond protein synthesis
Schimmel, P. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.77 · Cited by 462
Transfer RNA demethylase ALKBH3 promotes cancer progression via induction of tRNA-derived small RNAs
Chen, Z., Qi, M., Shen, B., Luo, G., Wu, Y., Li, J., Lu, Z., Zheng, Z., Dai, Q., & Wang, H. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1250 · Cited by 357
METTL1-mediated m7G modification of Arg-TCT tRNA drives oncogenic transformation
Orellana, E. A., Liu, Q., Yankova, E., Pirouz, M., De Braekeleer, E., Zhang, W., Lim, J., Aspris, D., Sendinc, E., Garyfallos, D. A., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.06.031 · Cited by 348
Translation affects mRNA stability in a codon-dependent manner in human cells
Wu, Q., Medina, S. G., Kushawah, G., DeVore, M. L., Castellano, L. A., Hand, J. M., Wright, M., & Bazzini, A. A. (2019) · eLife · doi:10.7554/elife.45396 · Cited by 283
Metadata
- Authors
- Goodarzi, H., Nguyen, H. C. B., Zhang, S., Dill, B. D., Molina, H., & Tavazoie, S. F.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 165
- Issue
- 6
- Pages
- 1416-1427
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2418276263
- Cited by
- 462
- References
- 37
- FWCI
- 18.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression. https://app.cochat.ai/papers/10.1016/j.cell.2016.05.046
- The paper
- Goodarzi, H., Nguyen, H. C. B., Zhang, S., Dill, B. D., Molina, H., & Tavazoie, S. F. (2016). Modulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression. Cell. https://doi.org/10.1016/j.cell.2016.05.046
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
