Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome

Area of Science:

• Genomics
• Molecular Biology
• Post-transcriptional Modification

Background:

• RNA editing is a crucial post-transcriptional process that alters genetic information.
• Understanding the RNA editome provides insights into gene regulation and disease mechanisms.

Purpose of the Study:

• To comprehensively profile the RNA editome of a male Han Chinese individual.
• To develop and validate a computational pipeline for accurate RNA editing event detection.
• To investigate the types and prevalence of RNA editing events, including those in noncoding RNAs.

Main Methods:

• Analysis of approximately 767 million sequencing reads from poly(A)(+), poly(A)(-), and small RNA samples.
• Development of a computational pipeline for false-positive-controlled RNA editing event calling.
• Integration of genome and whole-transcriptome data from the same individual.

Main Results:

• Identification of 22,688 RNA editing events across various genomic regions, including noncoding genes, introns, UTRs, and coding sequences.
• Predominance of A-to-I(G) conversions (~93%), consistent with adenosine deaminase acting on RNA (ADAR) activity.
• Discovery of 44 editing sites in microRNAs (miRNAs), indicating a potential role in miRNA-mediated gene regulation.

Conclusions:

• The study provides a detailed RNA editome profile, expanding our understanding of RNA modifications.
• The developed computational approach enables robust and large-scale RNA editing studies.
• RNA editing, particularly ADAR-mediated A-to-I(G) changes and miRNA editing, plays a significant role in gene regulation.