A novel computational method enables RNA editome profiling during human hematopoiesis from scRNA-seq data.

ABSTRACT: RNA editing is a post-transcriptional modification with a cell-specific manner and important biological implications. Although single-cell RNA-seq (scRNA-seq) is an effective method for studying cellular heterogeneity, it is difficult to detect and study RNA editing events from scRNA-seq data because of the low sequencing coverage. To overcome this, we develop a computational method to systematically identify RNA editing sites of cell types from scRNA-seq data. To demonstrate its effectiveness, we apply it to scRNA-seq data of human hematopoietic stem/progenitor cells (HSPCs) with an annotated lineage differentiation relationship according to previous research and study the impacts of RNA editing on hematopoiesis. The dynamic editing patterns reveal the relevance of RNA editing on differen

SUBMITTER: Wu Y 

PROVIDER: S-EPMC10293275 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature