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Quantitative Analysis of Focused A-To-I RNA Editing Sites by Ultra-High-Throughput Sequencing in Psychiatric Disorders

Overview of attention for article published in PLOS ONE, August 2012
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Title
Quantitative Analysis of Focused A-To-I RNA Editing Sites by Ultra-High-Throughput Sequencing in Psychiatric Disorders
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043227
Pubmed ID
Authors

Hu Zhu, Daniel J. Urban, Jared Blashka, Matthew T. McPheeters, Wesley K. Kroeze, Piotr Mieczkowski, James C. Overholser, George J. Jurjus, Lesa Dieter, Gouri J. Mahajan, Grazyna Rajkowska, Zefeng Wang, Patrick F. Sullivan, Craig A. Stockmeier, Bryan L. Roth

Abstract

A-to-I RNA editing is a post-transcriptional modification of single nucleotides in RNA by adenosine deamination, which thereby diversifies the gene products encoded in the genome. Thousands of potential RNA editing sites have been identified by recent studies (e.g. see Li et al, Science 2009); however, only a handful of these sites have been independently confirmed. Here, we systematically and quantitatively examined 109 putative coding region A-to-I RNA editing sites in three sets of normal human brain samples by ultra-high-throughput sequencing (uHTS). Forty of 109 putative sites, including 25 previously confirmed sites, were validated as truly edited in our brain samples, suggesting an overestimation of A-to-I RNA editing in these putative sites by Li et al (2009). To evaluate RNA editing in human disease, we analyzed 29 of the confirmed sites in subjects with major depressive disorder and schizophrenia using uHTS. In striking contrast to many prior studies, we did not find significant alterations in the frequency of RNA editing at any of the editing sites in samples from these patients, including within the 5HT(2C) serotonin receptor (HTR2C). Our results indicate that uHTS is a fast, quantitative and high-throughput method to assess RNA editing in human physiology and disease and that many prior studies of RNA editing may overestimate both the extent and disease-related variability of RNA editing at the sites we examined in the human brain.

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The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 10 16%
Student > Master 7 11%
Professor > Associate Professor 6 9%
Professor 5 8%
Other 13 20%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 33%
Biochemistry, Genetics and Molecular Biology 19 30%
Neuroscience 7 11%
Psychology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 3 5%
Unknown 8 13%