Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council, Bari, Italy.
Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, Bari, Italy.
Methods Mol Biol. 2021;2181:193-212. doi: 10.1007/978-1-0716-0787-9_12.
The advent of deep sequencing technologies has greatly improved the study of complex eukaryotic genomes and transcriptomes, allowing the investigation of posttranscriptional molecular mechanisms as alternative splicing and RNA editing at unprecedented throughput and resolution. The most prevalent type of RNA editing in higher eukaryotes is the deamination of adenosine to inosine (A-to-I) in double-stranded RNAs. Depending on the RNA type or the RNA region involved, A-to-I RNA editing contributes to the transcriptome and proteome diversity.Hereafter, we present an easy and reproducible computational protocol for the identification of candidate RNA editing sites in humans using deep transcriptome (RNA-Seq) and genome (DNA-Seq) sequencing.
深度测序技术的出现极大地改善了复杂真核生物基因组和转录组的研究，使我们能够以前所未有的通量和分辨率研究转录后分子机制，如选择性剪接和 RNA 编辑。在高等真核生物中，最常见的 RNA 编辑类型是双链 RNA 中腺嘌呤脱氨酶到肌苷（A-to-I）的脱氨作用。根据 RNA 类型或涉及的 RNA 区域，A-to-I RNA 编辑有助于转录组和蛋白质组的多样性。在此，我们提出了一种简单且可重复的计算方案，用于使用深度转录组（RNA-Seq）和基因组（DNA-Seq）测序鉴定人类中的候选 RNA 编辑位点。
