↓ Skip to main content

Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome

Overview of attention for article published in Nature Biotechnology, February 2012
Altmetric Badge

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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
6 blogs
twitter
31 X users
patent
4 patents
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
452 Dimensions

Readers on

mendeley
696 Mendeley
citeulike
14 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome
Published in
Nature Biotechnology, February 2012
DOI 10.1038/nbt.2122
Pubmed ID
Authors

Zhiyu Peng, Yanbing Cheng, Bertrand Chin-Ming Tan, Lin Kang, Zhijian Tian, Yuankun Zhu, Wenwei Zhang, Yu Liang, Xueda Hu, Xuemei Tan, Jing Guo, Zirui Dong, Yan Liang, Li Bao, Jun Wang

Abstract

RNA editing is a post-transcriptional event that recodes hereditary information. Here we describe a comprehensive profile of the RNA editome of a male Han Chinese individual based on analysis of ∼767 million sequencing reads from poly(A)(+), poly(A)(-) and small RNA samples. We developed a computational pipeline that carefully controls for false positives while calling RNA editing events from genome and whole-transcriptome data of the same individual. We identified 22,688 RNA editing events in noncoding genes and introns, untranslated regions and coding sequences of protein-coding genes. Most changes (∼93%) converted A to I(G), consistent with known editing mechanisms based on adenosine deaminase acting on RNA (ADAR). We also found evidence of other types of nucleotide changes; however, these were validated at lower rates. We found 44 editing sites in microRNAs (miRNAs), suggesting a potential link between RNA editing and miRNA-mediated regulation. Our approach facilitates large-scale studies to profile and compare editomes across a wide range of samples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 696 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 3%
Germany 6 <1%
Italy 5 <1%
Netherlands 4 <1%
Spain 4 <1%
United Kingdom 4 <1%
France 3 <1%
Hong Kong 3 <1%
China 3 <1%
Other 20 3%
Unknown 623 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 193 28%
Student > Ph. D. Student 187 27%
Student > Master 57 8%
Student > Bachelor 44 6%
Professor > Associate Professor 40 6%
Other 105 15%
Unknown 70 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 386 55%
Biochemistry, Genetics and Molecular Biology 138 20%
Computer Science 25 4%
Medicine and Dentistry 24 3%
Immunology and Microbiology 8 1%
Other 37 5%
Unknown 78 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 19 July 2022.
All research outputs
#592,072
of 25,301,208 outputs
Outputs from Nature Biotechnology
#1,262
of 8,783 outputs
Outputs of similar age
#3,475
of 261,745 outputs
Outputs of similar age from Nature Biotechnology
#5
of 109 outputs
Altmetric has tracked 25,301,208 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 8,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done well, scoring higher than 85% 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 261,745 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 98% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.