The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
The estrogen receptor-α-induced microRNA signature regulates itself and its transcriptional response
Open accessAbstract
Following estrogenic activation, the estrogen receptor-α (ERα) directly regulates the transcription of target genes via DNA binding. MicroRNAs (miRNAs) modulated by ERα have the potential to fine tune these regulatory systems and also provide an alternate mechanism that could impact on estrogen-dependent developmental and pathological systems. Through a microarray approach, we identify the subset of microRNAs (miRNAs) modulated by ERα, which include upregulation of miRNAs derived from the processing of the paralogous primary transcripts (pri-) mir-17–92 and mir-106a-363. Characterization of the mir-17–92 locus confirms that the ERα target protein c-MYC binds its promoter in an estrogen-dependent manner. We observe that levels of pri-mir-17–92 increase earlier than the mature miRNAs derived from it, implicating precursor cleavage modulation after transcription. Pri-mir-17–92 is immediately cleaved by DROSHA to pre-miR-18a, indicating that its regulation occurs during the formation of the mature molecule from the precursor. The clinical implications of this novel regulatory system were confirmed by demonstrating that pre-miR-18a was significantly upregulated in ERα-positive compared to ERα-negative breast cancers. Mechanistically, miRNAs derived from these paralogous pri-miRNAs (miR-18a, miR-19b, and miR-20b) target and downregulate ERα, while a subset of pri-miRNA-derived miRNAs inhibit protein translation of the ERα transcriptional p160 coactivator, AIB1. Therefore, different subsets of miRNAs identified act as part of a negative autoregulatory feedback loop. We propose that ERα, c-MYC, and miRNA transcriptional programs invoke a sophisticated network of interactions able to provide the wide range of coordinated cellular responses to estrogen.
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
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
MicroRNA Targeting Specificity in Mammals: Determinants beyond Seed Pairing
Grimson, A., Farh, K. K.-H., Johnston, W. K., Garrett-Engele, P., Lim, L. P., & Bartel, D. P. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.06.017 · Cited by 3,766
miR-15 and miR-16 induce apoptosis by targeting BCL2
Cimmino, A., Calin, G. A., Fabbri, M., Iorio, M. V., Ferracin, M., Shimizu, M., Wojcik, S. E., Aqeilan, R. I., Zupo, S., Dono, M., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506654102 · Cited by 3,517
A microRNA polycistron as a potential human oncogene
He, L., Thomson, J. M., Hemann, M. T., Hernando-Monge, E., Mu, D., Goodson, S., Powers, S., Cordon-Cardo, C., Lowe, S. W., Hannon, G. J., et al. (2005) · Nature · doi:10.1038/nature03552 · Cited by 3,483
Self-citationA microRNA component of the p53 tumour suppressor network
He, L., He, X., Lim, L. P., de Stanchina, E., Xuan, Z., Liang, Y., Xue, W., Zender, L., Magnus, J., Ridzon, D., et al. (2007) · Nature · doi:10.1038/nature05939 · Cited by 2,692
Self-citationThe role of site accessibility in microRNA target recognition
Kertesz, M., Iovino, N., Unnerstall, U., Gaul, U., & Segal, E. (2007) · Nature Genetics · doi:10.1038/ng2135 · Cited by 2,460
c-Myc-regulated microRNAs modulate E2F1 expression
O'Donnell, K. A., Wentzel, E. A., Zeller, K. I., Dang, C. V., & Mendell, J. T. (2005) · Nature · doi:10.1038/nature03677 · Cited by 2,347
Cited by
MicroRNAs in Development and Disease
Sayed, D., & Abdellatif, M. (2011) · Physiological Reviews · doi:10.1152/physrev.00006.2010 · Cited by 1,078
MicroRNAs en route to the clinic: progress in validating and targeting microRNAs for cancer therapy
Kasinski, A. L., & Slack, F. J. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3166 · Cited by 936
MicroRNA, a new paradigm for understanding immunoregulation, inflammation, and autoimmune diseases
Dai, R., & Ahmed, S. A. (2011) · Translational Research · doi:10.1016/j.trsl.2011.01.007 · Cited by 444
The miR-17-92 MicroRNA Cluster Regulates Multiple Components of the TGF-β Pathway in Neuroblastoma
Mestdagh, P., Boström, A.-K., Impens, F., Fredlund, E., Van Peer, G., De Antonellis, P., von Stedingk, K., Ghesquière, B., Schulte, S., Dews, M., et al. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.11.038 · Cited by 314
Roles of small RNAs in tumor formation
Di Leva, G., & Croce, C. M. (2010) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2010.04.001 · Cited by 262
Metadata
- Authors
- Castellano, L., Giamas, G., Jacob, J., Coombes, R. C., Lucchesi, W., Thiruchelvam, P., Barton, G., Jiao, L. R., Wait, R., Waxman, J., Hannon, G. J., & Stebbing, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-09-15
- Volume
- 106
- Issue
- 37
- Pages
- 15732-15737
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2031189791
- Cited by
- 329
- References
- 40
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- green
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: The estrogen receptor-α-induced microRNA signature regulates itself and its transcriptional response. https://app.cochat.ai/papers/10.1073/pnas.0906947106
- The paper
- Castellano, L., Giamas, G., Jacob, J., Coombes, R. C., Lucchesi, W., Thiruchelvam, P., Barton, G., Jiao, L. R., Wait, R., Waxman, J., Hannon, G. J., & Stebbing, J. (2009). The estrogen receptor-α-induced microRNA signature regulates itself and its transcriptional response. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0906947106
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.
