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Principles Governing A-to-I RNA Editing in the Breast Cancer Transcriptome

Overview of attention for article published in Cell Reports, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
patent
1 patent

Citations

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183 Dimensions

Readers on

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243 Mendeley
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2 CiteULike
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Title
Principles Governing A-to-I RNA Editing in the Breast Cancer Transcriptome
Published in
Cell Reports, October 2015
DOI 10.1016/j.celrep.2015.09.032
Pubmed ID
Authors

Debora Fumagalli, David Gacquer, Françoise Rothé, Anne Lefort, Frederick Libert, David Brown, Naima Kheddoumi, Adam Shlien, Tomasz Konopka, Roberto Salgado, Denis Larsimont, Kornelia Polyak, Karen Willard-Gallo, Christine Desmedt, Martine Piccart, Marc Abramowicz, Peter J. Campbell, Christos Sotiriou, Vincent Detours

Abstract

Little is known about how RNA editing operates in cancer. Transcriptome analysis of 68 normal and cancerous breast tissues revealed that the editing enzyme ADAR acts uniformly, on the same loci, across tissues. In controlled ADAR expression experiments, the editing frequency increased at all loci with ADAR expression levels according to the logistic model. Loci-specific "editabilities," i.e., propensities to be edited by ADAR, were quantifiable by fitting the logistic function to dose-response data. The editing frequency was increased in tumor cells in comparison to normal controls. Type I interferon response and ADAR DNA copy number together explained 53% of ADAR expression variance in breast cancers. ADAR silencing using small hairpin RNA lentivirus transduction in breast cancer cell lines led to less cell proliferation and more apoptosis. A-to-I editing is a pervasive, yet reproducible, source of variation that is globally controlled by 1q amplification and inflammation, both of which are highly prevalent among human cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
France 1 <1%
Chile 1 <1%
Denmark 1 <1%
United Kingdom 1 <1%
Unknown 237 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 20%
Student > Ph. D. Student 48 20%
Student > Bachelor 24 10%
Student > Master 19 8%
Student > Doctoral Student 15 6%
Other 37 15%
Unknown 51 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 74 30%
Agricultural and Biological Sciences 58 24%
Medicine and Dentistry 23 9%
Computer Science 8 3%
Chemistry 5 2%
Other 20 8%
Unknown 55 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 May 2022.
All research outputs
#1,937,435
of 25,374,647 outputs
Outputs from Cell Reports
#4,409
of 12,958 outputs
Outputs of similar age
#26,584
of 286,876 outputs
Outputs of similar age from Cell Reports
#57
of 233 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 65% 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 286,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.