Comprehensive characterization of circular RNAs in ~ 1000 human cancer cell lines.

ABSTRACT:

Background

Human cancer cell lines are fundamental models for cancer research and therapeutic strategy development. However, there is no characterization of circular RNAs (circRNAs) in a large number of cancer cell lines.

Methods

Here, we apply four circRNA identification algorithms to heuristically characterize the expression landscape of circRNAs across ~ 1000 human cancer cell lines from CCLE polyA-enriched RNA-seq data. By using integrative analysis and experimental approaches, we explore the expression landscape, biogenesis, functional consequences, and drug response of circRNAs across different cancer lineages.

Results

We revealed highly lineage-specific expression patterns of circRNAs, suggesting that circRNAs may be powerful diagnostic and/or prognostic marker

SUBMITTER: Ruan H 

PROVIDER: S-EPMC6709551 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature