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Differential Gene Expression in Tamoxifen-Resistant Breast Cancer Cells Revealed by a New Analytical Model of RNA-Seq Data

Overview of attention for article published in PLOS ONE, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
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4 X users

Citations

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53 Dimensions

Readers on

mendeley
114 Mendeley
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3 CiteULike
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Title
Differential Gene Expression in Tamoxifen-Resistant Breast Cancer Cells Revealed by a New Analytical Model of RNA-Seq Data
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041333
Pubmed ID
Authors

Kathryn J. Huber-Keener, Xiuping Liu, Zhong Wang, Yaqun Wang, Willard Freeman, Song Wu, Maricarmen D. Planas-Silva, Xingcong Ren, Yan Cheng, Yi Zhang, Kent Vrana, Chang-Gong Liu, Jin-Ming Yang, Rongling Wu

Abstract

Resistance to tamoxifen (Tam), a widely used antagonist of the estrogen receptor (ER), is a common obstacle to successful breast cancer treatment. While adjuvant therapy with Tam has been shown to significantly decrease the rate of disease recurrence and mortality, recurrent disease occurs in one third of patients treated with Tam within 5 years of therapy. A better understanding of gene expression alterations associated with Tam resistance will facilitate circumventing this problem. Using a next generation sequencing approach and a new bioinformatics model, we compared the transcriptomes of Tam-sensitive and Tam-resistant breast cancer cells for identification of genes involved in the development of Tam resistance. We identified differential expression of 1215 mRNA and 513 small RNA transcripts clustered into ERα functions, cell cycle regulation, transcription/translation, and mitochondrial dysfunction. The extent of alterations found at multiple levels of gene regulation highlights the ability of the Tam-resistant cells to modulate global gene expression. Alterations of small nucleolar RNA, oxidative phosphorylation, and proliferation processes in Tam-resistant cells present areas for diagnostic and therapeutic tool development for combating resistance to this anti-estrogen agent.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 2%
Australia 1 <1%
Italy 1 <1%
China 1 <1%
United States 1 <1%
Unknown 108 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 30%
Researcher 25 22%
Student > Master 12 11%
Student > Bachelor 9 8%
Other 5 4%
Other 16 14%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 39%
Biochemistry, Genetics and Molecular Biology 19 17%
Medicine and Dentistry 15 13%
Chemistry 3 3%
Engineering 3 3%
Other 12 11%
Unknown 18 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 31 July 2012.
All research outputs
#3,436,863
of 24,155,398 outputs
Outputs from PLOS ONE
#45,247
of 207,671 outputs
Outputs of similar age
#22,653
of 166,851 outputs
Outputs of similar age from PLOS ONE
#732
of 3,996 outputs
Altmetric has tracked 24,155,398 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 207,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 78% 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 166,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3,996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.