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Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples

RNA editing is phenomenon that occurs in both protein coding and non-coding RNAs. Increasing evidence have shown that adenosine-to-inosine RNA editing can potentially rendering substantial functional effects throughout the genome. Using RNA editing datasets from two large consortiums: The Cancer Gen...

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Autores principales: Chigaev, Michael, Yu, Hui, Samuels, David C., Sheng, Quanhu, Oyebamiji, Olufunmilola, Ness, Scott, Yue, Wei, Zhao, Ying-yong, Guo, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435843/
https://www.ncbi.nlm.nih.gov/pubmed/30949194
http://dx.doi.org/10.3389/fgene.2019.00211
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author Chigaev, Michael
Yu, Hui
Samuels, David C.
Sheng, Quanhu
Oyebamiji, Olufunmilola
Ness, Scott
Yue, Wei
Zhao, Ying-yong
Guo, Yan
author_facet Chigaev, Michael
Yu, Hui
Samuels, David C.
Sheng, Quanhu
Oyebamiji, Olufunmilola
Ness, Scott
Yue, Wei
Zhao, Ying-yong
Guo, Yan
author_sort Chigaev, Michael
collection PubMed
description RNA editing is phenomenon that occurs in both protein coding and non-coding RNAs. Increasing evidence have shown that adenosine-to-inosine RNA editing can potentially rendering substantial functional effects throughout the genome. Using RNA editing datasets from two large consortiums: The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) project, we quantitatively analyzed human genome-wide RNA editing events derived from tumor or normal tissues. Generally, a common RNA editing site tends to have a higher editing level in tumors as compared to normal samples. Of the 14 tumor-normal-paired cancer types examined, Eleven of the 14 cancers tested had overall increased RNA editing levels in the tumors. The editomes in cancer or normal tissues were dissected by genomic locations, and significant RNA editing locational difference was found between cancerous and healthy subjects. Additionally, our results indicated a significant correlation between the RNA editing rate and the gene density across chromosomes, highlighted hyper RNA editing clusters through visualization of running RNA editing rates along chromosomes, and identified hyper RNA edited genes (protein-coding genes, lincRNAs, and pseudogenes) that embody a large portion of cancer prognostic predictors. This study reinforces the potential functional effects of RNA editing in protein-coding genes, and also makes a strong foundation for further exploration of RNA editing’s roles in non-coding regions.
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spelling pubmed-64358432019-04-04 Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples Chigaev, Michael Yu, Hui Samuels, David C. Sheng, Quanhu Oyebamiji, Olufunmilola Ness, Scott Yue, Wei Zhao, Ying-yong Guo, Yan Front Genet Genetics RNA editing is phenomenon that occurs in both protein coding and non-coding RNAs. Increasing evidence have shown that adenosine-to-inosine RNA editing can potentially rendering substantial functional effects throughout the genome. Using RNA editing datasets from two large consortiums: The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) project, we quantitatively analyzed human genome-wide RNA editing events derived from tumor or normal tissues. Generally, a common RNA editing site tends to have a higher editing level in tumors as compared to normal samples. Of the 14 tumor-normal-paired cancer types examined, Eleven of the 14 cancers tested had overall increased RNA editing levels in the tumors. The editomes in cancer or normal tissues were dissected by genomic locations, and significant RNA editing locational difference was found between cancerous and healthy subjects. Additionally, our results indicated a significant correlation between the RNA editing rate and the gene density across chromosomes, highlighted hyper RNA editing clusters through visualization of running RNA editing rates along chromosomes, and identified hyper RNA edited genes (protein-coding genes, lincRNAs, and pseudogenes) that embody a large portion of cancer prognostic predictors. This study reinforces the potential functional effects of RNA editing in protein-coding genes, and also makes a strong foundation for further exploration of RNA editing’s roles in non-coding regions. Frontiers Media S.A. 2019-03-20 /pmc/articles/PMC6435843/ /pubmed/30949194 http://dx.doi.org/10.3389/fgene.2019.00211 Text en Copyright © 2019 Chigaev, Yu, Samuels, Sheng, Oyebamiji, Ness, Yue, Zhao and Guo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Chigaev, Michael
Yu, Hui
Samuels, David C.
Sheng, Quanhu
Oyebamiji, Olufunmilola
Ness, Scott
Yue, Wei
Zhao, Ying-yong
Guo, Yan
Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples
title Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples
title_full Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples
title_fullStr Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples
title_full_unstemmed Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples
title_short Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples
title_sort genomic positional dissection of rna editomes in tumor and normal samples
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435843/
https://www.ncbi.nlm.nih.gov/pubmed/30949194
http://dx.doi.org/10.3389/fgene.2019.00211
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