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Related Concept Videos

RNA Editing02:23

RNA Editing

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RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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A Nonsequencing Approach for the Rapid Detection of RNA Editing
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APOBEC Reporter Systems for Evaluating diNucleotide Editing Levels.

Amanda E Rieffer1, Yanjun Chen2, Daniel J Salamango1

  • 1Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota-Twin Cities, Minneapolis, Minnesota, USA; University of Texas Health San Antonio, San Antonio, Texas, USA.

The CRISPR Journal
|September 6, 2023
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Summary

A new tool, the APOBEC Reporter Systems for Evaluating diNucleotide Editing Levels (ARSENEL), enables real-time monitoring of base editor performance across all dinucleotide motifs. This system aids in developing more precise genome engineering technologies.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Biotechnology

Background:

  • Cytosine base editors (CBEs) are advancing precision genome engineering.
  • Current CBEs are primarily optimized for TC dinucleotide targets, limiting broader application.
  • Evaluating editing across all dinucleotide motifs is crucial for developing versatile base editors.

Purpose of the Study:

  • To develop and implement a novel reporter system, ARSENEL, for real-time evaluation of base editing across all four cytosine dinucleotide motifs (AC, CC, GC, TC).
  • To quantitatively assess the editing efficiency and specificity of various CBEs and identify potential inhibitors.

Main Methods:

  • Development of the ARSENEL panel, comprising four constructs that report editing via eGFP fluorescence accumulation.
  • Testing of twelve established and novel base editors using the ARSENEL system.
  • Real-time assessment of natural and synthetic APOBEC inhibitors.

Main Results:

  • ARSENEL successfully quantifies editing rates for AC, CC, GC, and TC motifs in living cells.
  • Established CBEs showed expected biases (APOBEC3Bctd to TC, AIDΔC to GC).
  • A full-length APOBEC3B CBE demonstrated high TC specificity, while APOBEC3A exhibited high editing efficiency. The Epstein-Barr virus ribonucleotide reductase large subunit was identified as a potent inhibitor.

Conclusions:

  • ARSENEL provides a versatile platform for quantitative, real-time assessment of base editor performance and inhibitor screening.
  • The system facilitates the development of highly specific and efficient genome editing tools.
  • ARSENEL has significant potential for advancing research and development in precision genome engineering.