Potential usages of A-to-I RNA editing patterns as diagnostic biomarkers
Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
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Potential usages of A-to-I RNA editing patterns as diagnostic biomarkers. / Rodriguez Morales, David; Ilieva, Mirolyuba; Rennie, Sarah; Uchida, Shizuka.
I: American journal of physiology. Cell physiology, Bind 324, Nr. 4, 2023, s. C837-C842.Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
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TY - JOUR
T1 - Potential usages of A-to-I RNA editing patterns as diagnostic biomarkers
AU - Rodriguez Morales, David
AU - Ilieva, Mirolyuba
AU - Rennie, Sarah
AU - Uchida, Shizuka
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - diagnostic biomarkers
KW - epitranscriptomics
KW - RNA editing
KW - RNA-seq analysis
U2 - 10.1152/ajpcell.00024.2023
DO - 10.1152/ajpcell.00024.2023
M3 - Review
C2 - 36847441
AN - SCOPUS:85151312980
VL - 324
SP - C837-C842
JO - American Journal of Physiology: Cell Physiology
JF - American Journal of Physiology: Cell Physiology
SN - 0363-6143
IS - 4
ER -
ID: 341880559