ReviewJournal of mammary gland biology and neoplasia2012
Functional genomic methods to study estrogen receptor activity.
Review in Journal of mammary gland biology and neoplasia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- The 5p12 breast cancer susceptibility locus affects MRPS30 expression in estrogen-receptor positive tumors.Molecular oncology · 2014Trial
- Loss of progesterone receptor is associated with distinct tyrosine kinase profiles in breast cancer.Breast cancer research and treatment · 2020Article
- High Throughput Chemical Screening Reveals Multiple Regulatory Proteins on FOXA1 in Breast Cancer Cell Lines.International journal of molecular sciences · 2018Article
- Estrogen Receptors: New Directions in the New Millennium.Endocrine reviews · 2018Review
- Modulation of gene transcription and epigenetics of colon carcinoma cells by bacterial membrane vesicles.Scientific reports · 2018Article
- CTCF modulates Estrogen Receptor function through specific chromatin and nuclear matrix interactions.Nucleic acids research · 2016Article
- What's new in estrogen receptor action in the female reproductive tract.Journal of molecular endocrinology · 2016Review
- Review
- Exploring the effects of polymorphisms on cis-regulatory signal transduction response.Trends in molecular medicine · 2013Review
- Critical questions in mammary gland development, lactational biology and breast cancer.Journal of mammary gland biology and neoplasia · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estrogen Receptor (ER) is a nuclear receptor that mediates the actions of estrogen and tamoxifen. ER is expressed in a major fraction of human breast cancers. Recently, genomic maps for estrogen- and tamoxifen-ER have been published. Interestingly, estrogen and tamoxifen induce similar genomic interactions and both ligands have been shown to use co-operating factors. The interactions of these co-operating factors within ER regions have impact both on ER-DNA interactions and gene expression regulated by estrogen and tamoxifen. Moreover, the study of chromatin changes induced by these factors has also provided significant insight into our understanding of ER transcriptional regulation. This methods review describes some functional genomic methods to study the influence of both ER ligands and ER co-operating factors. The analysis of protein-DNA interactions and chromatin changes can be explored by using classical and novel methods such as Chromatin Immunoprecipitation (ChIP) or Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE). This review also explores the properties of each of these methods and the advantages of combining them with high throughput sequencing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.