Ribo-ODDR: Oligo Design pipeline for experiment-specific Depletion of Ribosomal RNAs in Ribo-seq

Abstract

AbstractRibosome profiling (Ribo-seq) has revolutionized the study of RNA translation by providing information on ribosome positions across all translated RNAs with nucleotide-resolution. Yet, several technical limitations restrict the sequencing depth of such experiments, the most common of which is the overabundance of ribosomal RNA (rRNA) fragments, which frequently make up more than 90% of sequencing reads if not depleted. Various strategies can be employed to tackle this issue, including the use of commercial rRNA depletion kits. However, as they are designed for more standardized RNAseq experiments, such kits may perform suboptimally in Ribo-seq. There is therefore potential to significantly increase the information that can be gleaned from Ribo-seq experiments. Here we show that a major confounding issue is that the rRNA fragments generated via Ribo-seq vary significantly with differing experimental conditions, suggesting that a “one-size-fits-all” approach may result in inefficient rRNA depletion. In order to overcome this, it is possible to use custom-designed biotinylated oligos complementary to the most abundant rRNA fragments, however currently no computational framework exists to aid the design of optimal oligos. We have developed Ribo-ODDR, an oligo design pipeline integrated with a user-friendly interface that assists in oligo selection for efficient experiment-specific rRNA depletion. Ribo-ODDR uses preliminary data to identify the most abundant rRNA fragments, and calculates the rRNA depletion efficiency of potential oligos. We show that Ribo-ODDR designed oligos lead to a significant increase in rRNA depletion, and increased sequencing depth as a result, providing substantial information that would otherwise have been lost. Ribo-ODDR is freely accessible at https://github.com/fallerlab/Ribo-ODDR