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A Nonsequencing Approach for the Rapid Detection of RNA Editing
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Profiling RNA Editing in Single Cells.

Adriano Fonzino1, Graziano Pesole1,2, Ernesto Picardi3,4

  • 1Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari "A. Moro", Bari, Italy.

Methods in Molecular Biology (Clifton, N.J.)
|December 10, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a protocol to analyze adenosine to inosine (A-to-I) RNA editing in single human pancreatic cells. This method enables the characterization of epitranscriptomic dynamics at the single-cell level.

Keywords:
RNA editingSingle cellscRNAseq

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Area of Science:

  • Molecular Biology
  • Genomics
  • Epitranscriptomics

Background:

  • RNA editing, specifically adenosine to inosine (A-to-I) conversion by ADAR enzymes, is a crucial post-transcriptional modification in humans.
  • While studied in tissues, the biological role and dynamics of A-to-I RNA editing within single cells remain underexplored.
  • Advancements in single-cell sequencing allow for detailed epitranscriptomic profiling at cellular resolution.

Purpose of the Study:

  • To develop and describe a protocol for detecting and characterizing A-to-I RNA editing events in single human pancreatic cells.
  • To enable the in-depth investigation of RNA editing's biological role at the single-cell level.
  • To leverage publicly available single-cell RNA sequencing data for epitranscriptomic analysis.

Main Methods:

  • Utilizing cell sorting techniques combined with deep sequencing.
  • Applying a step-by-step protocol to analyze publicly available human single-cell RNA sequencing (scRNA-seq) datasets.
  • Focusing on A-to-I editing events in alpha and beta pancreatic cells.

Main Results:

  • A detailed protocol is provided for the detection and characterization of A-to-I RNA editing.
  • The methodology allows for the analysis of epitranscriptomic dynamics in human pancreatic cells at single-cell resolution.
  • Publicly available scRNA-seq data from human alpha and beta cells can be effectively utilized.

Conclusions:

  • The described protocol facilitates the study of A-to-I RNA editing in single human pancreatic cells.
  • This approach opens new avenues for understanding the functional significance of RNA editing in cellular heterogeneity.
  • The methodology is applicable to existing scRNA-seq datasets, promoting further research in epitranscriptomics.