학술논문

Transcriptogenomics identification and characterization of RNA editing sites in human primary monocytes using high-depth next generation sequencing data.
Document Type
Article
Source
Genomics. Jul2019, Vol. 111 Issue 4, p899-905. 7p.
Subject
*RNA editing
*MONOCYTES
*REPRODUCTION
*NUCLEOTIDE sequencing
Language
ISSN
0888-7543
Abstract
High-depth next generation sequencing data provide valuable insights into the number and distribution of RNA editing events. Here, we report the RNA editing events at cellular level of human primary monocyte using high-depth whole genomic and transcriptomic sequencing data. We identified over a ten thousand putative RNA editing sites and 69% of the sites were A-to-I editing sites. The sites enriched in repetitive sequences and intronic regions. High-depth sequencing datasets revealed that 90% of the canonical sites were edited at lower frequencies (<0.7). Single and multiple human monocytes and brain tissues samples were analyzed through genome sequence independent approach. The later approach was observed to identify more editing sites. Monocytes was observed to contain more C-to-U editing sites compared to brain tissues. Our results establish comparable pipeline that can address current limitations as well as demonstrate the potential for highly sensitive detection of RNA editing events in single cell type. • A total 8632 A-to-I editing sites identified in healthy human primary monocytes. • Majority of the A-to-I editing sites were enriched in intronic region of repetitive elements. • High-depth sequencing datasets revealed that 90% of the A-to-I editing sites were edited at lower frequencies (<0.7). • Genome sequence-independent approach was observed to identify more RNA editing sites compare to genome sequence-dependent approach. [ABSTRACT FROM AUTHOR]