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Histone H3 lysine 4 acetylation and methylation dynamics define breast cancer subtypes

Overview of attention for article published in Oncotarget, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

4 tweeters


68 Dimensions

Readers on

103 Mendeley
Histone H3 lysine 4 acetylation and methylation dynamics define breast cancer subtypes
Published in
Oncotarget, January 2016
DOI 10.18632/oncotarget.6922
Pubmed ID

Terri L. Messier, Jonathan A. R. Gordon, Joseph R. Boyd, Coralee E. Tye, Gillian Browne, Janet L. Stein, Jane B. Lian, Gary S. Stein


The onset and progression of breast cancer are linked to genetic and epigenetic changes that alter the normal programming of cells. Epigenetic modifications of DNA and histones contribute to chromatin structure that result in the activation or repression of gene expression. Several epigenetic pathways have been shown to be highly deregulated in cancer cells. Targeting specific histone modifications represents a viable strategy to prevent oncogenic transformation, tumor growth or metastasis. Methylation of histone H3 lysine 4 has been extensively studied and shown to mark genes for expression; however this residue can also be acetylated and the specific function of this alteration is less well known. To define the relative roles of histone H3 methylation (H3K4me3) and acetylation (H3K4ac) in breast cancer, we determined genomic regions enriched for both marks in normal-like (MCF10A), transformed (MCF7) and metastatic (MDA-MB-231) cells using a genome-wide ChIP-Seq approach. Our data revealed a genome-wide gain of H3K4ac associated with both early and late breast cancer cell phenotypes, while gain of H3K4me3 was predominantly associated with late stage cancer cells. Enrichment of H3K4ac was over-represented at promoters of genes associated with cancer-related phenotypic traits, such as estrogen response and epithelial-to-mesenchymal transition pathways. Our findings highlight an important role for H3K4ac in predicting epigenetic changes associated with early stages of transformation. In addition, our data provide a valuable resource for understanding epigenetic signatures that correlate with known breast cancer-associated oncogenic pathways.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Researcher 20 19%
Student > Master 15 15%
Student > Bachelor 11 11%
Student > Doctoral Student 5 5%
Other 13 13%
Unknown 14 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 35%
Agricultural and Biological Sciences 17 17%
Medicine and Dentistry 16 16%
Chemistry 4 4%
Immunology and Microbiology 2 2%
Other 13 13%
Unknown 15 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2016.
All research outputs
of 16,639,069 outputs
Outputs from Oncotarget
of 12,946 outputs
Outputs of similar age
of 345,497 outputs
Outputs of similar age from Oncotarget
of 672 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,946 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 672 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.