Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
A CLEAR pipeline for direct comparison of circular and linear RNA expression
Xu-Kai MaiD, Mengran WangiD, Chu‐Xiao LiuiD, Rui DongiD, Gordon CarmichaeliD, Ling‐Ling CheniD, Li Chun YangiD
Abstract
Sequences of circular RNAs (circRNAs) produced from back-splicing of exon(s) completely overlap with sequences from cognate linear RNAs transcribed from the same gene loci with the exception of their back-splicing junction (BSJ) sites. Examination of global circRNA expression from RNA-seq datasets generally relies on the detection of RNA-seq fragments spanning BSJ sites, but a direct comparison of circular and linear RNA expression from the same gene loci in a genome-wide manner has remained challenging. This is because quantification of BSJ fragments differs from that of linear RNA expression that uses normalized RNA-seq fragments mapped to the whole gene bodies. Here, we have developed a computational pipeline for circular and linear RNA expression analysis from ribosomal-RNA depleted RNA-seq (CLEAR, https://github.com/YangLab/CLEAR). A new quantitation parameter, FPB (fragments per billion mapped bases), is applied to evaluate circular and linear RNA expression individually by fragments mapped to circRNA-specific BSJ sites or to linear RNA-specific splicing junction (SJ) sites. Then, circular and linear RNA expression are directly compared by dividing FPBcirc by FPBlinear to generate a CIRCscore, which indicates the relative circRNA expression using linear RNA expression as the background. Highly-expressed circRNAs with low cognate linear RNA expression background can be identified for further investigation.
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: benchmarking
- approach: statistical model
- Citations
- 108
- FWCI
- 3.31
- Field percentile
- top 6%
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