Evidence map›Paper›PMID 22002538›Full record

ArticleThe EMBO journal2011

Oestrogen receptor-co-factor-chromatin specificity in the transcriptional regulation of breast cancer.

Wilbert Zwart, Vasiliki Theodorou, Marleen Kok, Sander Canisius, Sabine Linn, Jason S Carroll

Open access · greenAbstract read
In one paragraph

Article in The EMBO journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

64 citing papers in PubMed, 118 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Wilbert ZwartThe Netherlands Cancer Institute, Amsterdam, The Netherlands.
Vasiliki Theodorou
Marleen Kok
Sander Canisius
Sabine Linn
Jason S Carroll
Cancer Research UK Cambridge Center · GBOncode Institute · NLThe Netherlands Cancer Institute · NL

Funding

Cancer Research UK 15602
6 · The paper itself

Abstract

The complexity of oestrogen receptor α (ERα)-mediated transcription is becoming apparent, but global insight into the co-regulatory proteins that assist ERα transcription is incomplete. Here, we present the most comprehensive chromatin-binding landscape of ERα co-regulatory proteins to date. We map by ChIP-seq the essential p160 co-regulators (SRC1, SRC2 and SRC3), and the histone acetyl transferases p300 and CBP in MCF-7 breast cancer cells. We find a complex network of co-regulator binding, with preferential binding sites for each co-regulator. Unlike previous suggestions, we find SRC recruitment almost exclusively following ligand treatment. Interestingly, we find specific subsets of genes regulated by ligand-dependent and -independent co-regulator recruitment. Co-factor-binding profiles were integrated with expression data from cell lines and primary tumour cohorts, to reveal specific transcriptional networks that influence clinical outcome. Genes that are bound by SRC3, but not other p160 proteins, have predictive value in cohorts of breast cancer patients. By generating a robust and global view of co-factor-binding properties, we discover new levels of co-regulator complexity, but also reveal specific gene networks that may influence endocrine response.

Indexed as

Breast NeoplasmsEstrogen Receptor alphaTranscription FactorsBinding SitesCell Line, TumorChromatinEstradiolFemaleGene Expression ProfilingGene Expression RegulationHistone AcetyltransferasesHumansModels, BiologicalNuclear Receptor Coactivator 3TamoxifenChromatinEstradiolEstrogen Receptor alphaHistone AcetyltransferasesNCOA3 protein, humanNuclear Receptor Coactivator 3TamoxifenTranscription Factors

Identifiers

PMID22002538
PMCPMC3243612
OpenAlexW2078332829

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.