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EditR: A Method to Quantify Base Editing from Sanger Sequencing.

Mitchell G Kluesner1,2,3, Derek A Nedveck4, Walker S Lahr1,2,3

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|April 26, 2019
PubMed
Summary
This summary is machine-generated.

A new tool called EditR accurately measures base editing efficiency using Sanger sequencing. This cost-effective method simplifies gene editing analysis, enabling wider adoption of CRISPR base editing technology.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Biotechnology

Background:

  • CRISPR-Cas9 base editors enable targeted C:G to T:A conversions without double-strand breaks.
  • Base editing offers efficient single-nucleotide modification, revolutionizing gene editing.
  • Current methods for analyzing base editing outcomes are often imprecise, costly, or time-consuming.

Purpose of the Study:

  • To develop a simple, cost-effective, and accurate program for measuring base editing efficiency.
  • To overcome the limitations of existing base editing analysis methods.
  • To provide a tool amenable to various base editing technologies, including DNA and RNA base editors.

Main Methods:

  • Development of a program named EditR.
  • Utilizing fluorescence-based Sanger sequencing data and guide RNA sequences.
  • EditR functions as a free online tool or downloadable desktop application.

Main Results:

  • EditR provides accurate measurement of base editing efficiency.
  • The tool offers insights into the position, type, and efficiency of base edits.
  • EditR demonstrates greater accuracy compared to enzymatic assays.
  • The program is potentially applicable to adenosine deaminase base editors (ABEs) and REPAIRs.

Conclusions:

  • EditR is a robust and inexpensive tool for quantifying base editing.
  • This tool will facilitate the broader application and innovation of base editing technologies.
  • EditR simplifies the analysis of gene editing outcomes, promoting advancements in the field.