Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 307

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Genomic Antagonism between Retinoic Acid and Estrogen Signaling in Breast Cancer

Open access
Hua, Sujun, Kittler, Ralf, White, Kevin P.·2009·Cell

Abstract

SUMMARY Retinoic acid (RA) triggers growth-suppressive effects in tumor cells and therefore RA has and its synthetic analogs have great potential as anti-carcinogenic agent. RA effects are mediated by Retinoic Acid Receptors (RARs), which regulate gene expression in an RA-dependent manner. To define the genetic network regulated by RARs in breast cancer, we identified RAR genomic targets using chromatin immunoprecipitation and expression analysis. We found that RAR binding throughout the genome is highly co-incident with estrogen receptor α (ERα) binding, and identified a widespread crosstalk of RA and estrogen signaling to antagonistically regulate breast cancer-associated genes. ERα and RAR binding sites appear to be co-evolved on a large scale throughout the human genome, allowing for competitive binding between these transcription factors via nearby or overlapping cis-regulatory elements. Together these data indicate the existence of a highly coordinated intersection between these two critical nuclear hormone receptor signaling pathways providing a global mechanism for balancing gene expression output via local regulatory interactions dispersed throughout the genome.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2009.04.043

Cites

11 of 11 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 307

Metadata

Authors
Hua, S., Kittler, R., & White, K. P.
Venue
Cell
Publisher
Elsevier BV
Published
2009-06
Volume
137
Issue
7
Pages
1259-1271
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2080683349
Cited by
307
References
11
FWCI
13.01
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

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.