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Ribo-ODDR: oligo design pipeline for experiment-specific rRNA depletion in Ribo-seq.

Ferhat Alkan ,
Joana Silva ,
Eric Pintó Barberà ,
William J Faller

Abstract

RESULTS

Here, we first 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 be inefficient. Therefore we 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 experimentally show that Ribo-ODDR designed oligos outperform commercially available kits and lead to a significant increase in rRNA depletion in Ribo-seq.

MOTIVATION

Ribosome 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 rRNA fragments. 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, they may perform suboptimally in Ribo-seq. In order to overcome this, it is possible to use custom biotinylated oligos complementary to the most abundant rRNA fragments, however currently no computational framework exists to aid the design of optimal oligos.

AVAILABILITY AND IMPLEMENTATION

Ribo-ODDR is freely accessible at https://github.com/fallerlab/Ribo-ODDR.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

More about this publication

Bioinformatics (Oxford, England)

Volume 37
Issue nr. 17
Pages 2659-2667
Publication date 09-09-2021

Full text links

Publisher website (DOI) 10.1093/bioinformatics/btab171
Europe PubMed Central 33720291
Pubmed 33720291

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