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Global Splicing Pattern Reversion during Somatic Cell Reprogramming

Overview of attention for article published in Cell Reports, October 2013
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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23 X users
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1 Facebook page

Citations

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56 Dimensions

Readers on

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136 Mendeley
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1 CiteULike
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Title
Global Splicing Pattern Reversion during Somatic Cell Reprogramming
Published in
Cell Reports, October 2013
DOI 10.1016/j.celrep.2013.09.016
Pubmed ID
Authors

Sho Ohta, Eisuke Nishida, Shinya Yamanaka, Takuya Yamamoto

Abstract

Alternative splicing generates multiple transcripts from a single gene, and cell-type-specific splicing profiles are important for the properties and functions of the cells. Recently, somatic cells have been shown to undergo dedifferentiation after the forced expression of transcription factors. However, it remains unclear whether somatic cell splicing is reorganized during reprogramming. Here, by combining deep sequencing with high-throughput absolute qRT-PCR, we show that somatic splicing profiles revert to pluripotent ones during reprogramming. Remarkably, the splicing pattern in pluripotent stem cells resembles that in testes, and the regulatory regions have specific characteristics in length and sequence. Furthermore, our siRNA screen has identified RNA-binding proteins that regulate splicing events in iPSCs. We have then demonstrated that two of the RNA-binding proteins, U2af1 and Srsf3, play a role in somatic cell reprogramming. Our results indicate that the drastic alteration in splicing represents part of the molecular network involved in the reprogramming process.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Japan 2 1%
United Kingdom 1 <1%
Germany 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Unknown 126 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 26%
Researcher 35 26%
Student > Master 15 11%
Professor > Associate Professor 13 10%
Other 6 4%
Other 16 12%
Unknown 16 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 48%
Biochemistry, Genetics and Molecular Biology 32 24%
Medicine and Dentistry 9 7%
Engineering 6 4%
Computer Science 3 2%
Other 5 4%
Unknown 16 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 November 2013.
All research outputs
#2,692,918
of 25,373,627 outputs
Outputs from Cell Reports
#5,699
of 12,955 outputs
Outputs of similar age
#24,347
of 224,556 outputs
Outputs of similar age from Cell Reports
#50
of 154 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,955 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 55% 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 224,556 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 89% of its contemporaries.
We're also able to compare this research output to 154 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 67% of its contemporaries.