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Related Concept Videos

RNA Editing02:23

RNA Editing

9.3K
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...
9.3K

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A Nonsequencing Approach for the Rapid Detection of RNA Editing
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Quantification of Mitochondrial RNA Editing Efficiency Using Sanger Sequencing Data.

Mizuki Takenaka1

  • 1Department of Botany, Graduate School of Science, Kyoto University, Kyoto, Japan. mizuki.takenaka@pmg.bot.kyoto-u.ac.jp.

Methods in Molecular Biology (Clifton, N.J.)
|September 21, 2021
PubMed
Summary

This study introduces a fast and simple method to quantify RNA editing efficiency at hundreds of sites using Sanger sequencing data. This approach aids in characterizing the many factors involved in plant organelle RNA editing.

Keywords:
C-to-U conversionMitochondriaRNA editingRT-PCRSanger sequencing

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Area of Science:

  • Plant Biology
  • Molecular Biology
  • Genetics

Background:

  • C-to-U RNA editing is crucial in plant mitochondria and plastids, altering amino acids in organelle mRNAs.
  • Flowering plants have hundreds of mitochondrial and dozens of plastid RNA editing sites.
  • Over 100 RNA editing factors are known, necessitating comprehensive monitoring of editing sites.

Purpose of the Study:

  • To present a quick and easy method for quantifying RNA editing efficiency.
  • To enable comprehensive monitoring of numerous RNA editing sites.

Main Methods:

  • Utilizes Sanger sequencing chromatogram data.
  • Applies a method for quantifying RNA editing efficiency at multiple sites simultaneously.

Main Results:

  • A straightforward method for RNA editing efficiency quantification is described.
  • The method is applicable to hundreds of RNA editing sites.

Conclusions:

  • This method facilitates the characterization of RNA editing factors.
  • Efficient monitoring of RNA editing sites is essential for understanding plant organelle gene expression.