The DOI matches its Crossref record.
MiR-34, SIRT1, and p53: The feedback loop
Open accessAbstract
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression. Several studies have linked dysregulation of miRNA with tumorigenesis. The TP53 is one of the most commonly mutated genes in human cancers, and its gene product p53 activates transcription of a set of miRNA including the miR-34 family of miRNA. The miR-34 family regulates cell cycle progression, cellular senescence and apoptosis, but the targets of miR-34 are not completely defined. We recently found that miR-34a inhibits SIRT1, a gene that regulates cellular senescence and limits longevity. SIRT1 also regulates p53 dependent apoptosis through deacetylating and stabilizing p53. We also discovered that SIRT1 mediates miR-34a activation of apoptosis by regulating p53 activity. Based on this observation, we propose a positive feedback loop, in which p53 induces expression of miR-34a which suppresses SIRT1, increasing p53 activity.
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
Cited by
Mammalian Sirtuins: Biological Insights and Disease Relevance
Haigis, M. C., & Sinclair, D. A. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev.pathol.4.110807.092250 · Cited by 2,085
MicroRNAs in metabolism and metabolic disorders
Rottiers, V., & Näär, A. M. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3313 · Cited by 1,156
Trang, P., Wiggins, J. F., Daige, C. L., Cho, C., Omotola, M., Brown, D., Weidhaas, J. B., Bader, A. G., & Slack, F. J. (2011) · Molecular Therapy · doi:10.1038/mt.2011.48 · Cited by 667
To differentiate or not — routes towards metastasis
Brabletz, T. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3265 · Cited by 623
Steelman, L. S., Chappell, W. H., Abrams, S. L., Kempf, C. R., Long, J., Laidler, P., Mijatovic, S., Maksimovic-Ivanic, D., Stivala, F., Mazzarino, M. C., et al. (2011) · Aging · doi:10.18632/aging.100296 · Cited by 553
Metadata
- Authors
- Yamakuchi, M., & Lowenstein, C. J.
- Venue
- Cell Cycle
- Publisher
- Informa UK Limited
- Published
- 2009-03
- Volume
- 8
- Issue
- 5
- Pages
- 712-715
- ISSN
- 1538-4101 (ISSN-L)
- 1551-4005
- OpenAlex
- W2092658747
- Cited by
- 468
- References
- 0
- FWCI
- 10.39
- 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: MiR-34, SIRT1, and p53: The feedback loop. https://app.cochat.ai/papers/10.4161/cc.8.5.7753
- The paper
- Yamakuchi, M., & Lowenstein, C. J. (2009). MiR-34, SIRT1, and p53: The feedback loop. Cell Cycle. https://doi.org/10.4161/cc.8.5.7753
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.
