Molecular Therapy — Nucleic AcidsBioinformaticsPeer-reviewed journal article
MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing
Mitchell G. KluesneriD, Rafail Nikolaos TasakisiD, Taga Lerner, Annette Arnold, Sandra Wüst, Marco BinderiD, Beau R. WebberiD, Branden S. MoriarityiD, Riccardo PecoriiD
Abstract
RNA editing is the base change that results from RNA deamination by two predominant classes of deaminases; the APOBEC family and the ADAR family. Respectively, deamination of nucleobases by these enzymes are responsible for endogenous editing of cytosine to uracil (C-to-U) and adenosine to inosine (A-to-I). RNA editing is known to play an essential role both in maintaining normal cellular function, as well as altered cellular physiology during oncogenesis and tumour progression. Analysis of RNA editing in these important processes, largely relies on RNA-seq technology for the detection and quantification of RNA editing sites. Despite the power of these technologies, multiple sources of error in detecting and measuring base editing still exist, therefore additional validation and quantification of editing through Sanger sequencing is still required for confirmation of editing. Depending on the number of RNA editing sites that are of interest, this validation step can be both expensive and time-consuming. To address this need we developed the tool MultiEditR which provides a simple, and cost-effective method of detecting and quantifying RNA editing form Sanger sequencing. We expect that MultiEditR will foster further discoveries in this rapidly expanding field.
- assay: bulk RNA-seq
- research focus: variant calling
- research focus: variant effect prediction
- approach: experimental assay
- Citations
- 36
- FWCI
- 1.81
- Field percentile
- top 13%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- EditR: A novel base editing quantification software using Sanger sequencing
Mitchell G. Kluesner, Derek A. Nedveck, … Branden S. Moriarity·The CRISPR JournalPeer-reviewed·Jun 1, 2018
- hyperTRIBER: a flexible R package for the analysis of differential RNA editing
Sarah Rennie, Daniel Heidar Magnusson, Robin Andersson·bioRxiv·Oct 20, 2021
- Edi-Set-Flow: detecting differential RNA-editing at scale
Jacob E Munro, Melanie Bahlo, Brendan R E Ansell·bioRxiv·Nov 3, 2026
- Precise and efficient C-to-U RNA Base Editing with SNAP-CDAR-S
Ngadhnjim Latifi, Aline Maria Mack, … Thorsten Stafforst·Nucleic Acids ResearchPeer-reviewed·Jul 5, 2023
- TSniffer: Unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data
Maike Herrmann, Yvonne Krebs, … Christian Karl Pfaller·bioRxiv·Nov 13, 2024
- OmniRE-seq: A Dual-Method Framework for Decoding RNA Editing Dynamics in Disease and Therapy
Yuqing Hang, Hao Liu, … Yuxiang Zhao·bioRxiv·Oct 23, 2026