Evidence map›Paper›PMID 40585248›Full record

ArticleResearch square2025

Super-resolution microscopy reveals distinct epigenetic states regulated by estrogen receptor activity.

Myles Brown, Tara Akhshi, Shengen Shawn Hu, Esme Wheeler, Christian Hellriegel, Douglas S Richardson, Nicole Cayting, Wangu Mvula, Buraq Ahmed, Rinath Jeselsohn and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Myles BrownDana-Farber Cancer Institute.ORCID 0000-0002-8213-1658
Tara AkhshiDana-Farber Cancer Institute.
Shengen Shawn HuUniversity of Virginia.
Esme WheelerDana-Farber Cancer Institute.
Christian HellriegelCarl Zeiss Microscopy.
Douglas S RichardsonHarvard University.
Nicole CaytingDana-Farber Cancer Institute.
Wangu MvulaDana-Farber Cancer Institute.
Buraq AhmedDana-Farber Cancer Institute.
Rinath JeselsohnDana-Farber Cancer Institute.
Chongzhi ZangUniversity of Virginia.

Funding

Integrative computational models for functional epigenomics and transcriptional regulationR35GM133712 · NIGMS · UNIVERSITY OF VIRGINIA · PI Chongzhi Zang · 2019 to 2026
$3.4M
NIGMS NIH HHS R35 GM133712
6 · The paper itself

Abstract

Changes in gene expression regulated by ligand-dependent transcription factors such as estrogen receptor-α (ERα) involves the recruitment of coactivators including p300 that acetylates histone H3 at lysine 27 (H3K27ac). While H3K27ac marks active enhancers, the detailed chromatin architecture of enhancers remains unclear. Using super-resolution microscopy, we reveal distinct structural states of H3K27ac modified chromatin in response to ERα activation. In estradiol (E2)-treated cells, H3K27ac modified chromatin adopts open, elongated structures associated with active enhancers, while ERα inhibition induces compact, spherical H3K27ac modified chromatin conformations linked to repression. A constitutively active ERα mutation linked to endocrine therapy resistance in breast cancer maintains open chromatin states independent of ligand, suggesting sustained transcriptional activity. Our findings provide the first direct visualization of H3K27ac associated chromatin structural dynamics, challenging the assumption that H3K27ac modification alone is sufficient to lead to enhancer activation. By demonstrating that H3K27ac architecture is dynamically regulated by ERα, we establish a new paradigm for understanding epigenetic regulation and highlight potential therapeutic targets for endocrine therapy resistant cancers.

Identifiers

PMID40585248
PMCPMC12204369

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.