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Histone modification profiling in breast cancer cell lines highlights commonalities and differences among subtypes

Overview of attention for article published in BMC Genomics, February 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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9 X users

Citations

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63 Dimensions

Readers on

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125 Mendeley
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1 CiteULike
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Title
Histone modification profiling in breast cancer cell lines highlights commonalities and differences among subtypes
Published in
BMC Genomics, February 2018
DOI 10.1186/s12864-018-4533-0
Pubmed ID
Authors

Yuanxin Xi, Jiejun Shi, Wenqian Li, Kaori Tanaka, Kendra L. Allton, Dana Richardson, Jing Li, Hector L. Franco, Anusha Nagari, Venkat S. Malladi, Luis Della Coletta, Melissa S. Simper, Khandan Keyomarsi, Jianjun Shen, Mark T. Bedford, Xiaobing Shi, Michelle C. Barton, W. Lee Kraus, Wei Li, Sharon Y. R. Dent

Abstract

Epigenetic regulators are frequently mutated or aberrantly expressed in a variety of cancers, leading to altered transcription states that result in changes in cell identity, behavior, and response to therapy. To define alterations in epigenetic landscapes in breast cancers, we profiled the distributions of 8 key histone modifications by ChIP-Seq, as well as primary (GRO-seq) and steady state (RNA-Seq) transcriptomes, across 13 distinct cell lines that represent 5 molecular subtypes of breast cancer and immortalized human mammary epithelial cells. Using combinatorial patterns of distinct histone modification signals, we defined subtype-specific chromatin signatures to nominate potential biomarkers. This approach identified AFAP1-AS1 as a triple negative breast cancer-specific gene associated with cell proliferation and epithelial-mesenchymal-transition. In addition, our chromatin mapping data in basal TNBC cell lines are consistent with gene expression patterns in TCGA that indicate decreased activity of the androgen receptor pathway but increased activity of the vitamin D biosynthesis pathway. Together, these datasets provide a comprehensive resource for histone modification profiles that define epigenetic landscapes and reveal key chromatin signatures in breast cancer cell line subtypes with potential to identify novel and actionable targets for treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Student > Bachelor 17 14%
Researcher 15 12%
Student > Master 13 10%
Student > Doctoral Student 6 5%
Other 18 14%
Unknown 32 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 39%
Agricultural and Biological Sciences 17 14%
Medicine and Dentistry 13 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Engineering 3 2%
Other 4 3%
Unknown 36 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 March 2018.
All research outputs
#6,587,629
of 23,305,591 outputs
Outputs from BMC Genomics
#2,927
of 10,742 outputs
Outputs of similar age
#116,107
of 331,808 outputs
Outputs of similar age from BMC Genomics
#62
of 192 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 331,808 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 64% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.