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Very Few RNA and DNA Sequence Differences in the Human Transcriptome

Overview of attention for article published in PLOS ONE, October 2011
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Title
Very Few RNA and DNA Sequence Differences in the Human Transcriptome
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0025842
Pubmed ID
Authors

Daniel R. Schrider, Jean-Francois Gout, Matthew W. Hahn

Abstract

RNA editing is an important cellular process by which the nucleotides in a mature RNA transcript are altered to cause them to differ from the corresponding DNA sequence. While this process yields essential transcripts in humans and other organisms, it is believed to occur at a relatively small number of loci. The rarity of RNA editing has been challenged by a recent comparison of human RNA and DNA sequence data from 27 individuals, which revealed that over 10,000 human exonic sites appear to exhibit RNA-DNA differences (RDDs). Many of these differences could not have been caused by either of the two previously known human RNA editing mechanisms--ADAR-mediated A→G substitutions or APOBEC1-mediated C→U switches--suggesting that a previously unknown mechanism of RNA editing may be active in humans. Here, we reanalyze these data and demonstrate that genomic sequences exist in these same individuals or in the human genome that match the majority of RDDs. Our results suggest that the majority of these RDD events were observed due to accurate transcription of sequences paralogous to the apparently edited gene but differing at the edited site. In light of our results it seems prudent to conclude that if indeed an unknown mechanism is causing RDD events in humans, such events occur at a much lower frequency than originally proposed.

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The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 6%
United Kingdom 5 3%
Germany 2 1%
Ireland 1 <1%
India 1 <1%
Canada 1 <1%
Colombia 1 <1%
Spain 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 121 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 30%
Student > Ph. D. Student 33 23%
Student > Master 11 8%
Professor > Associate Professor 10 7%
Student > Bachelor 8 6%
Other 23 16%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 65%
Biochemistry, Genetics and Molecular Biology 17 12%
Medicine and Dentistry 6 4%
Computer Science 4 3%
Neuroscience 2 1%
Other 6 4%
Unknown 15 10%