The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
A Rapid, Extensive, and Transient Transcriptional Response to Estrogen Signaling in Breast Cancer Cells
Open accessAbstract
Summary We report the immediate effects of estrogen signaling on the transcriptome of breast cancer cells using Global Run-On and sequencing (GRO-seq). The data were analyzed using a new bioinformatic approach that allowed us to identify transcripts directly from the GRO-seq data. We found that estrogen signaling directly regulates a strikingly large fraction of the transcriptome in a rapid, robust, and unexpectedly transient manner. In addition to protein coding genes, estrogen regulates the distribution and activity of all three RNA polymerases, and virtually every class of non-coding RNA that has been described to date. We also identified a large number of previously undetected estrogen-regulated intergenic transcripts, many of which are found proximal to estrogen receptor binding sites. Collectively, our results provide the most comprehensive measurement of the primary and immediate estrogen effects to date and a resource for understanding rapid signal-dependent transcription in other systems.
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
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statistics and Computing · doi:10.1007/978-0-387-21706-2 · Cited by 24,305
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
The widespread regulation of microRNA biogenesis, function and decay
Krol, J., Loedige, I., & Filipowicz, W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2843 · Cited by 4,672
Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt
Durinck, S., Spellman, P. T., Birney, E., & Huber, W. (2009) · Nature Protocols · doi:10.1038/nprot.2009.97 · Cited by 4,197
miRBase: microRNA sequences, targets and gene nomenclature
Griffiths-Jones, S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj112 · Cited by 3,950
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
SOAP2: an improved ultrafast tool for short read alignment
Li, R., Yu, C., Li, Y., Lam, T.-W., Yiu, S.-M., Kristiansen, K., & Wang, J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp336 · Cited by 3,760
Cited by
Transcriptional enhancers: from properties to genome-wide predictions
Shlyueva, D., Stampfel, G., & Stark, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3682 · Cited by 1,356
Li, G., Ruan, X., Auerbach, R. K., Sandhu, K. S., Zheng, M., Wang, P., Poh, H. M., Goh, Y., Lim, J., Zhang, J., et al. (2012) · Cell · doi:10.1016/j.cell.2011.12.014 · Cited by 1,232
Nuclear Receptors, RXR, and the Big Bang
Evans, R. M., & Mangelsdorf, D. J. (2014) · Cell · doi:10.1016/j.cell.2014.03.012 · Cited by 1,200
Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation
Li, W., Notani, D., Ma, Q., Tanasa, B., Nunez, E., Chen, A. Y., Merkurjev, D., Zhang, J., Ohgi, K., Song, X., et al. (2013) · Nature · doi:10.1038/nature12210 · Cited by 1,049
Precise Maps of RNA Polymerase Reveal How Promoters Direct Initiation and Pausing
Kwak, H., Fuda, N. J., Core, L. J., & Lis, J. T. (2013) · Science · doi:10.1126/science.1229386 · Cited by 849
Self-citation
Metadata
- Authors
- Hah, N., Danko, C. G., Core, L., Waterfall, J. J., Siepel, A., Lis, J. T., & Kraus, W. L.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 145
- Issue
- 4
- Pages
- 622-634
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2118532317
- Cited by
- 490
- References
- 63
- FWCI
- 25.58
- 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: A Rapid, Extensive, and Transient Transcriptional Response to Estrogen Signaling in Breast Cancer Cells. https://app.cochat.ai/papers/10.1016/j.cell.2011.03.042
- The paper
- Hah, N., Danko, C. G., Core, L., Waterfall, J. J., Siepel, A., Lis, J. T., & Kraus, W. L. (2011). A Rapid, Extensive, and Transient Transcriptional Response to Estrogen Signaling in Breast Cancer Cells. Cell. https://doi.org/10.1016/j.cell.2011.03.042
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.
