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VBN
Article . 2023
Data sources: VBN
AJP Cell Physiology
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Potential usages of A-to-I RNA editing patterns as diagnostic biomarkers

Authors: David Rodriguez Morales; Mirolyuba Ilieva; Sarah Rennie; Shizuka Uchida;

Potential usages of A-to-I RNA editing patterns as diagnostic biomarkers

Abstract

Adenosine to inosine (A-to-I) RNA editing is one of the most frequent RNA modifications found in the mammalian transcriptome. Recent studies clearly indicate that RNA editing enzymes, adenosine deaminase acting on RNAs (ADARs), are upregulated in stressed cells and under disease conditions, suggesting that monitoring RNA editing patterns might be useful as diagnostic biomarkers of various diseases. Here, we provide an overview of epitranscriptomics, and focus particularly on the detection and analysis of A-to-I RNA editing using bioinformatic tools in RNA-seq data sets, as well as briefly reviewing the existing evidence about its involvement in disease progressions. Finally, we argue for the detection of RNA editing patterns as part of the routine analysis in RNA-based data sets, with the aim of accelerating the identification of RNA editing targets linked to disease.

Keywords

Mammals, RNA editing, diagnostic biomarkers, Animals, RNA, RNA Editing, epitranscriptomics, RNA-seq analysis, Transcriptome, Biomarkers

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green