The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs
Open accessAbstract
SUMMARY Here we demonstrate that protein-coding RNA transcripts can crosstalk by competing for common microRNAs, with microRNA response elements as the foundation of this interaction. We have termed such RNA transcripts as competing endogenous RNAs (ceRNAs). We tested this hypothesis in the context of PTEN, a key tumor suppressor whose abundance determines critical outcomes in tumorigenesis. By a combined computational and experimental approach, we identified and validated endogenous protein-coding transcripts that regulate PTEN, antagonize PI3K/AKT signaling and possess growth and tumor suppressive properties. Notably, we also show that these genes display concordant expression patterns with PTEN and copy number loss in cancers. Our study presents a road map for the prediction and validation of ceRNA activity and networks, and thus imparts a trans-regulatory function to protein-coding mRNAs.
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Salmena, L., Poliseno, L., Tay, Y., Kats, L., & Pandolfi, P. P. (2011) · Cell · doi:10.1016/j.cell.2011.07.014 · Cited by 7,262
Self-citationIntegrative Genomic Profiling of Human Prostate Cancer
Taylor, B. S., Schultz, N., Hieronymus, H., Gopalan, A., Xiao, Y., Carver, B. S., Arora, V. K., Kaushik, P., Cerami, E., Reva, B., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.05.026 · Cited by 3,701
A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA
Cesana, M., Cacchiarelli, D., Legnini, I., Santini, T., Sthandier, O., Chinappi, M., Tramontano, A., & Bozzoni, I. (2011) · Cell · doi:10.1016/j.cell.2011.09.028 · Cited by 2,554
A coding-independent function of gene and pseudogene mRNAs regulates tumour biology
Poliseno, L., Salmena, L., Zhang, J., Carver, B., Haveman, W. J., & Pandolfi, P. P. (2010) · Nature · doi:10.1038/nature09144 · Cited by 2,323
Self-citationMiranda, K. C., Huynh, T., Tay, Y., Ang, Y.-S., Tam, W.-L., Thomson, A. M., Lim, B., & Rigoutsos, I. (2006) · Cell · doi:10.1016/j.cell.2006.07.031 · Cited by 2,063
Self-citationMicromanagers of gene expression: the potentially widespread influence of metazoan microRNAs
Bartel, D. P., & Chen, C.-Z. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1328 · Cited by 1,425
MicroRNAs to Nanog, Oct4 and Sox2 coding regions modulate embryonic stem cell differentiation
Tay, Y., Zhang, J., Thomson, A. M., Lim, B., & Rigoutsos, I. (2008) · Nature · doi:10.1038/nature07299 · Cited by 1,385
Self-citation
Cited by
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016
Li, J.-H., Liu, S., Zhou, H., Qu, L.-H., & Yang, J.-H. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1248 · Cited by 4,686
The multilayered complexity of ceRNA crosstalk and competition
Tay, Y., Rinn, J., & Pandolfi, P. P. (2014) · Nature · doi:10.1038/nature12986 · Cited by 3,910
Self-citation
Metadata
- Authors
- Tay, Y., Kats, L., Salmena, L., Weiss, D., Tan, S. M., Ala, U., Karreth, F., Poliseno, L., Provero, P., Di Cunto, F., Lieberman, J., Rigoutsos, I., & Pandolfi, P. P.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 147
- Issue
- 2
- Pages
- 344-357
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2135398049
- Cited by
- 1,019
- References
- 36
- FWCI
- 27.28
- 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: Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs. https://app.cochat.ai/papers/10.1016/j.cell.2011.09.029
- The paper
- Tay, Y., Kats, L., Salmena, L., Weiss, D., Tan, S. M., Ala, U., Karreth, F., Poliseno, L., Provero, P., Di Cunto, F., Lieberman, J., Rigoutsos, I., & Pandolfi, P. P. (2011). Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs. Cell. https://doi.org/10.1016/j.cell.2011.09.029
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.