Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 372

The DOI matches its Crossref record.

Activation of pS2 gene transcription is a primary response to estrogen in the human breast cancer cell line MCF-7.

Open access
Brown, A M, Jeltsch, J M, Roberts, M, Chambon, P·1984·Proceedings of the National Academy of Sciences

Abstract

We have shown previously that an increase in the level of accumulated pS2 mRNA is first detectable in MCF-7 cells after 3 hr of estradiol treatment. Using in vitro nuclear run-on transcription with nuclei prepared from MCF-7 cells grown in the presence of estradiol or in estradiol-stripped medium, we demonstrate here that expression of the pS2 gene is controlled by estrogen at the transcriptional level. Induction of transcription is a very early event that is already apparent within 15 min after addition of estradiol to the culture medium. In addition, pretreatment of the cells with the protein synthesis inhibitor cycloheximide does not prevent induction of pS2 gene transcription, indicating that it corresponds to a primary effect of estrogen. The pS2 gene in MCF-7 cells represents a unique example of a human gene whose transcription is directly controlled by 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.

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

Integrity signals

Registry

Crossref · 10.1073/pnas.81.20.6344

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.

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

Cited by

See all 372

Metadata

Authors
Brown, A. M., Jeltsch, J. M., Roberts, M., & Chambon, P.
Venue
Proceedings of the National Academy of Sciences
Published
1984-10
Volume
81
Issue
20
Pages
6344-6348
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1981771606
Cited by
372
References
0
FWCI
6.25
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: Activation of pS2 gene transcription is a primary response to estrogen in the human breast cancer cell line MCF-7. https://app.cochat.ai/papers/10.1073/pnas.81.20.6344
The paper
Brown, A. M., Jeltsch, J. M., Roberts, M., & Chambon, P. (1984). Activation of pS2 gene transcription is a primary response to estrogen in the human breast cancer cell line MCF-7. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.81.20.6344

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.