SplintQuant: a method for accurately quantifying circular RNA transcript abundance without reverse transcription bias

  1. Simon J. Conn
  1. Flinders Centre for Innovation in Cancer, Flinders University, College of Medicine and Public Health, Bedford Park, South Australia 5042, Australia
  2. UniSA Cancer Research Institute, University of South Australia, School of Pharmacy and Medical Sciences, Adelaide, South Australia 5000, Australia
  1. Corresponding author: simon.conn{at}flinders.edu.au

Abstract

Reverse transcription of RNA is fallible, introducing biases and confounding the quantification of transcript abundance. We demonstrate that circular RNAs (circRNAs) are more subjective to overestimation of transcript abundance than cognate linear RNAs due to their covalently closed, circular form, producing multiple concatameric products from a single priming of reverse transcriptase. We developed SplintQuant, where custom DNA oligonucleotides are ligated by PBCV-1 DNA ligase only when bound to their target RNA. These circRNA-specific DNA oligonucleotides are terminally tagged with universal primers, allowing SplintQuant to accurately quantify even lowly abundant circRNAs through highly specific quantitative PCR (qPCR) in the absence of reverse transcription. SplintQuant is sensitive, specific, highly reproducible, and applicable to the quantification of canonical and noncanonical RNA transcripts including alternative splice variants, gene fusions, and offers a gold-standard approach for accurately quantifying circRNAs.

Keywords

  • Received February 28, 2019.
  • Accepted May 29, 2019.

This article is distributed exclusively by the RNA Society for the first 12 months after the full-issue publication date (see http://rnajournal.cshlp.org/site/misc/terms.xhtml). After 12 months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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