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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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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
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Updated: May 30, 2025

A Nonsequencing Approach for the Rapid Detection of RNA Editing
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A Nonsequencing Approach for the Rapid Detection of RNA Editing

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Obstacles in quantifying A-to-I RNA editing by Sanger sequencing.

Alla Fishman1, Ayelet T Lamm1

  • 1Faculty of Biology, Technion - Israel Institute of Technology, Technion City, Haifa, Israel.

Methods in Enzymology
|January 27, 2025
PubMed
Summary
This summary is machine-generated.

Adenosine-to-Inosine (A-to-I) RNA editing detection using Sanger sequencing is improved by reducing reverse transcription bias. This method enhances reliable editing level quantification and increases product yield for biomedical research.

Keywords:
A-to-I RNA editingSanger Sequencingds stemhigh folding energymeltingsecondary structure

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Area of Science:

  • Molecular Biology
  • Genetics
  • Biochemistry

Background:

  • Adenosine-to-Inosine (A-to-I) RNA editing is a prevalent post-transcriptional modification crucial in neurological diseases and cancer.
  • Accurate detection and quantification of A-to-I RNA editing are vital for biomedical research and clinical applications.
  • While High-Throughput Sequencing (HTS) offers global detection, Sanger sequencing is preferred for precise analysis of editing sites and comparative studies.

Purpose of the Study:

  • To address the limitations of Sanger sequencing in accurately quantifying A-to-I RNA editing levels, particularly for transcripts with complex secondary structures.
  • To develop an improved method for Sanger sequencing-based RNA editing analysis that overcomes reverse transcription bias and increases amplification yield.

Main Methods:

  • RNA samples were reverse transcribed using a thermostable reverse transcriptase at high temperatures (65°C) to denature double-stranded RNA (dsRNA) structures.
  • cDNA was amplified using gene-specific primers, followed by Sanger sequencing.
  • Chromatogram outputs were compared to genomic DNA sequences to identify and quantify editing events.

Main Results:

  • Standard Sanger sequencing methods exhibit bias towards unedited transcripts, leading to underestimated editing levels and low amplification yield, especially for structured RNAs.
  • The study identified that reverse transcription bias is dependent on the transcript's secondary structure.
  • A novel approach was developed to significantly reduce this reverse transcription bias, enabling more reliable detection of editing levels and improving product yield.

Conclusions:

  • The developed method enhances the accuracy and reliability of Sanger sequencing for quantifying A-to-I RNA editing levels.
  • This improvement is critical for detailed studies of RNA editing in various biological contexts, including disease states.
  • The optimized protocol facilitates more robust comparative analyses of RNA editing across different conditions and samples.