Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome
2012; Nature Portfolio; Volume: 30; Issue: 3 Linguagem: Inglês
10.1038/nbt.2122
ISSN1546-1696
AutoresZhiyu 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,
Tópico(s)CRISPR and Genetic Engineering
ResumoSites where RNA editing occurs can be found using RNA-Seq, but false positives confound the data analysis. Peng et al. describe algorithms for accurately calling editing events, and apply them to identify ~22,600 events, mostly A→G changes, in a human transcriptome. 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.
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