High-Throughput Sequencing to Detect DNA-RNA Changes

Methods Mol Biol. 2021:2181:193-212. doi: 10.1007/978-1-0716-0787-9_12.

Abstract

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.

Keywords: DNA-Seq; Epigenetics; Next-generation sequencing; RNA editing; RNA-Seq; Transcriptomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Computational Biology / instrumentation
  • Computational Biology / methods
  • Computers
  • DNA / analysis*
  • High-Throughput Nucleotide Sequencing / instrumentation
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • RNA / analysis*
  • RNA Editing / physiology*
  • Sequence Analysis, RNA / methods
  • Software
  • Transcriptome / physiology

Substances

  • RNA
  • DNA