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Small RNA changes en route to distinct cellular states of induced pluripotency

Overview of attention for article published in Nature Communications, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
11 X users
weibo
1 weibo user

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
153 Mendeley
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Title
Small RNA changes en route to distinct cellular states of induced pluripotency
Published in
Nature Communications, December 2014
DOI 10.1038/ncomms6522
Pubmed ID
Authors

Jennifer L. Clancy, Hardip R. Patel, Samer M. I. Hussein, Peter D. Tonge, Nicole Cloonan, Andrew J. Corso, Mira Li, Dong-Sung Lee, Jong-Yeon Shin, Justin J. L. Wong, Charles G. Bailey, Marco Benevento, Javier Munoz, Aaron Chuah, David Wood, John E. J. Rasko, Albert J. R. Heck, Sean M. Grimmond, Ian M. Rogers, Jeong-Sun Seo, Christine A. Wells, Mira C. Puri, Andras Nagy, Thomas Preiss

Abstract

MicroRNAs (miRNAs) are critical to somatic cell reprogramming into induced pluripotent stem cells (iPSCs), however, exactly how miRNA expression changes support the transition to pluripotency requires further investigation. Here we use a murine secondary reprogramming system to sample cellular trajectories towards iPSCs or a novel pluripotent 'F-class' state and perform small RNA sequencing. We detect sweeping changes in an early and a late wave, revealing that distinct miRNA milieus characterize alternate states of pluripotency. miRNA isoform expression is common but surprisingly varies little between cell states. Referencing other omic data sets generated in parallel, we find that miRNA expression is changed through transcriptional and post-transcriptional mechanisms. miRNA transcription is commonly regulated by dynamic histone modification, while DNA methylation/demethylation consolidates these changes at multiple loci. Importantly, our results suggest that a novel subset of distinctly expressed miRNAs supports pluripotency in the F-class state, substituting for miRNAs that serve such roles in iPSCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Australia 1 <1%
Brazil 1 <1%
Sweden 1 <1%
France 1 <1%
Denmark 1 <1%
Mexico 1 <1%
Japan 1 <1%
China 1 <1%
Other 0 0%
Unknown 143 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 28%
Student > Ph. D. Student 31 20%
Student > Master 15 10%
Student > Bachelor 11 7%
Professor 10 7%
Other 28 18%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 35%
Biochemistry, Genetics and Molecular Biology 46 30%
Medicine and Dentistry 9 6%
Engineering 5 3%
Chemistry 4 3%
Other 19 12%
Unknown 17 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 23 January 2015.
All research outputs
#594,127
of 24,525,936 outputs
Outputs from Nature Communications
#10,277
of 52,815 outputs
Outputs of similar age
#7,496
of 371,189 outputs
Outputs of similar age from Nature Communications
#104
of 750 outputs
Altmetric has tracked 24,525,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 52,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has done well, scoring higher than 80% 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 371,189 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 97% of its contemporaries.
We're also able to compare this research output to 750 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.