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Long noncoding RNAs in mouse embryonic stem cell pluripotency and differentiation

Overview of attention for article published in Genome Research, June 2008
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
2 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
686 Dimensions

Readers on

mendeley
604 Mendeley
citeulike
5 CiteULike
connotea
5 Connotea
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Title
Long noncoding RNAs in mouse embryonic stem cell pluripotency and differentiation
Published in
Genome Research, June 2008
DOI 10.1101/gr.078378.108
Pubmed ID
Authors

Marcel E. Dinger, Paulo P. Amaral, Tim R. Mercer, Ken C. Pang, Stephen J. Bruce, Brooke B. Gardiner, Marjan E. Askarian-Amiri, Kelin Ru, Giulia Soldà, Cas Simons, Susan M. Sunkin, Mark L. Crowe, Sean M. Grimmond, Andrew C. Perkins, John S. Mattick

Abstract

The transcriptional networks that regulate embryonic stem (ES) cell pluripotency and lineage specification are the subject of considerable attention. To date such studies have focused almost exclusively on protein-coding transcripts. However, recent transcriptome analyses show that the mammalian genome contains thousands of long noncoding RNAs (ncRNAs), many of which appear to be expressed in a developmentally regulated manner. The functions of these remain untested. To identify ncRNAs involved in ES cell biology, we used a custom-designed microarray to examine the expression profiles of mouse ES cells differentiating as embryoid bodies (EBs) over a 16-d time course. We identified 945 ncRNAs expressed during EB differentiation, of which 174 were differentially expressed, many correlating with pluripotency or specific differentiation events. Candidate ncRNAs were identified for further characterization by an integrated examination of expression profiles, genomic context, chromatin state, and promoter analysis. Many ncRNAs showed coordinated expression with genomically associated developmental genes, such as Dlx1, Dlx4, Gata6, and Ecsit. We examined two novel developmentally regulated ncRNAs, Evx1as and Hoxb5/6as, which are derived from homeotic loci and share similar expression patterns and localization in mouse embryos with their associated protein-coding genes. Using chromatin immunoprecipitation, we provide evidence that both ncRNAs are associated with trimethylated H3K4 histones and histone methyltransferase MLL1, suggesting a role in epigenetic regulation of homeotic loci during ES cell differentiation. Taken together, our data indicate that long ncRNAs are likely to be important in processes directing pluripotency and alternative differentiation programs, in some cases through engagement of the epigenetic machinery.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 604 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 3%
United Kingdom 6 <1%
France 3 <1%
Japan 3 <1%
Germany 2 <1%
Turkey 2 <1%
Italy 2 <1%
Brazil 1 <1%
Finland 1 <1%
Other 10 2%
Unknown 556 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 151 25%
Student > Ph. D. Student 139 23%
Student > Master 72 12%
Student > Bachelor 46 8%
Professor > Associate Professor 28 5%
Other 94 16%
Unknown 74 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 307 51%
Biochemistry, Genetics and Molecular Biology 143 24%
Medicine and Dentistry 24 4%
Neuroscience 12 2%
Computer Science 9 1%
Other 28 5%
Unknown 81 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 13 February 2018.
All research outputs
#2,123,774
of 25,374,917 outputs
Outputs from Genome Research
#1,047
of 4,425 outputs
Outputs of similar age
#5,674
of 95,943 outputs
Outputs of similar age from Genome Research
#7
of 32 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. 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 95,943 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 94% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.