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Dataset Information

Accurate identification of circRNA landscape and complexity reveals their pivotal roles in human oligodendroglia differentiation.


ABSTRACT:

Background

Circular RNAs (circRNAs), a novel class of poorly conserved non-coding RNAs that regulate gene expression, are highly enriched in the human brain. Despite increasing discoveries of circRNA function in human neurons, the circRNA landscape and function in developing human oligodendroglia, the myelinating cells that govern neuronal conductance, remains unexplored. Meanwhile, improved experimental and computational tools for the accurate identification of circRNAs are needed.

Results

We adopt a published experimental approach for circRNA enrichment and develop CARP (CircRNA identification using A-tailing RNase R approach and Pseudo-reference alignment), a comprehensive 21-module computational framework for accurate circRNA identification and quantification. Using CARP

SUBMITTER: Li Y 

PROVIDER: S-EPMC8819885 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature