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Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation
Long non-coding RNAs (lncRNAs) are an emerging class of RNA species that may play a critical regulatory role in gene expression. However, the association between lncRNAs and atrial fibrillation (AF) is still not fully understood. In this study, we used RNA sequencing data to identify and quantify th...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783610/ https://www.ncbi.nlm.nih.gov/pubmed/31632440 http://dx.doi.org/10.3389/fgene.2019.00908 |
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author | Wu, Dong-Mei Zhou, Zheng-Kun Fan, Shao-Hua Zheng, Zi-Hui Wen, Xin Han, Xin-Rui Wang, Shan Wang, Yong-Jian Zhang, Zi-Feng Shan, Qun Li, Meng-Qiu Hu, Bin Lu, Jun Chen, Gui-Quan Hong, Xiao-Wu Zheng, Yuan-Lin |
author_facet | Wu, Dong-Mei Zhou, Zheng-Kun Fan, Shao-Hua Zheng, Zi-Hui Wen, Xin Han, Xin-Rui Wang, Shan Wang, Yong-Jian Zhang, Zi-Feng Shan, Qun Li, Meng-Qiu Hu, Bin Lu, Jun Chen, Gui-Quan Hong, Xiao-Wu Zheng, Yuan-Lin |
author_sort | Wu, Dong-Mei |
collection | PubMed |
description | Long non-coding RNAs (lncRNAs) are an emerging class of RNA species that may play a critical regulatory role in gene expression. However, the association between lncRNAs and atrial fibrillation (AF) is still not fully understood. In this study, we used RNA sequencing data to identify and quantify the both protein coding genes (PCGs) and lncRNAs. The high enrichment of these up-regulated genes in biological functions concerning response to virus and inflammatory response suggested that chronic viral infection may lead to activated inflammatory pathways, thereby alter the electrophysiology, structure, and autonomic remodeling of the atria. In contrast, the downregulated GO terms were related to the response to saccharides. To identify key lncRNAs involved in AF, we predicted lncRNAs regulating expression of the adjacent PCGs, and characterized biological function of the dysregulated lncRNAs. We found that two lncRNAs, ETF1P2, and AP001053.11, could interact with protein-coding genes (PCGs), which were implicated in AF. In conclusion, we identified key PCGs and lncRNAs, which may be implicated in AF, which not only improves our understanding of the roles of lncRNAs in AF, but also provides potentially functional lncRNAs for AF researchers. |
format | Online Article Text |
id | pubmed-6783610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67836102019-10-18 Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation Wu, Dong-Mei Zhou, Zheng-Kun Fan, Shao-Hua Zheng, Zi-Hui Wen, Xin Han, Xin-Rui Wang, Shan Wang, Yong-Jian Zhang, Zi-Feng Shan, Qun Li, Meng-Qiu Hu, Bin Lu, Jun Chen, Gui-Quan Hong, Xiao-Wu Zheng, Yuan-Lin Front Genet Genetics Long non-coding RNAs (lncRNAs) are an emerging class of RNA species that may play a critical regulatory role in gene expression. However, the association between lncRNAs and atrial fibrillation (AF) is still not fully understood. In this study, we used RNA sequencing data to identify and quantify the both protein coding genes (PCGs) and lncRNAs. The high enrichment of these up-regulated genes in biological functions concerning response to virus and inflammatory response suggested that chronic viral infection may lead to activated inflammatory pathways, thereby alter the electrophysiology, structure, and autonomic remodeling of the atria. In contrast, the downregulated GO terms were related to the response to saccharides. To identify key lncRNAs involved in AF, we predicted lncRNAs regulating expression of the adjacent PCGs, and characterized biological function of the dysregulated lncRNAs. We found that two lncRNAs, ETF1P2, and AP001053.11, could interact with protein-coding genes (PCGs), which were implicated in AF. In conclusion, we identified key PCGs and lncRNAs, which may be implicated in AF, which not only improves our understanding of the roles of lncRNAs in AF, but also provides potentially functional lncRNAs for AF researchers. Frontiers Media S.A. 2019-10-02 /pmc/articles/PMC6783610/ /pubmed/31632440 http://dx.doi.org/10.3389/fgene.2019.00908 Text en Copyright © 2019 Wu, Zhou, Fan, Zheng, Wen, Han, Wang, Wang, Zhang, Shan, Li, Hu, Lu, Chen, Hong and Zheng 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 Wu, Dong-Mei Zhou, Zheng-Kun Fan, Shao-Hua Zheng, Zi-Hui Wen, Xin Han, Xin-Rui Wang, Shan Wang, Yong-Jian Zhang, Zi-Feng Shan, Qun Li, Meng-Qiu Hu, Bin Lu, Jun Chen, Gui-Quan Hong, Xiao-Wu Zheng, Yuan-Lin Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation |
title | Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation |
title_full | Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation |
title_fullStr | Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation |
title_full_unstemmed | Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation |
title_short | Comprehensive RNA-Seq Data Analysis Identifies Key mRNAs and lncRNAs in Atrial Fibrillation |
title_sort | comprehensive rna-seq data analysis identifies key mrnas and lncrnas in atrial fibrillation |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783610/ https://www.ncbi.nlm.nih.gov/pubmed/31632440 http://dx.doi.org/10.3389/fgene.2019.00908 |
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