Cargando…
Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets
Atherosclerosis is one of the most common type of cardiovascular disease and the prime cause of mortality in the aging population worldwide. However, the detail mechanisms and special biomarkers of atherosclerosis remain to be further investigated. Lately, long non-coding RNAs (lncRNAs) has attracte...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403132/ https://www.ncbi.nlm.nih.gov/pubmed/30873207 http://dx.doi.org/10.3389/fgene.2019.00123 |
_version_ | 1783400518169657344 |
---|---|
author | Wang, Chuan-hui Shi, Hui-hua Chen, Lin-hui Li, Xiao-li Cao, Guo-liang Hu, Xiao-feng |
author_facet | Wang, Chuan-hui Shi, Hui-hua Chen, Lin-hui Li, Xiao-li Cao, Guo-liang Hu, Xiao-feng |
author_sort | Wang, Chuan-hui |
collection | PubMed |
description | Atherosclerosis is one of the most common type of cardiovascular disease and the prime cause of mortality in the aging population worldwide. However, the detail mechanisms and special biomarkers of atherosclerosis remain to be further investigated. Lately, long non-coding RNAs (lncRNAs) has attracted much more attention than other types of ncRNAs. In our work, we found and confirmed differently expressed lncRNAs and mRNAs in atherosclerosis by analyzing GSE28829. We performed the weighted gene co-expression network analysis (WGCNA) by analyzing GSE40231 to confirm highly correlated genes. Gene Ontology (GO) analysis were utilized to assess the potential functions of differential expressed lncRNAs in atherosclerosis. Co-expression networks were also constructed to confirm hub lncRNAs in atherosclerosis. A total of 5784 mRNAs and 654 lncRNAs were found to be dysregulated in the progression of atherosclerosis. A total of 15 lncRNA-mRNA co-expression modules were identified in this study based on WGCNA analysis. Moreover, a few lncRNAs, such as ZFAS1, LOC100506730, LOC100506691, DOCK9-AS2, RP11-6I2.3, LOC100130219, were confirmed as important lncRNAs in atherosclerosis. Taken together, bioinformatics analysis revealed these lncRNAs were involved in regulating the leukotriene biosynthetic process, gene expression, actin filament organization, t-circle formation, antigen processing, and presentation, interferon-gamma-mediated signaling pathway, and activation of GTPase activity. We believed that this study would provide potential novel therapeutic and prognostic targets for atherosclerosis. |
format | Online Article Text |
id | pubmed-6403132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64031322019-03-14 Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets Wang, Chuan-hui Shi, Hui-hua Chen, Lin-hui Li, Xiao-li Cao, Guo-liang Hu, Xiao-feng Front Genet Genetics Atherosclerosis is one of the most common type of cardiovascular disease and the prime cause of mortality in the aging population worldwide. However, the detail mechanisms and special biomarkers of atherosclerosis remain to be further investigated. Lately, long non-coding RNAs (lncRNAs) has attracted much more attention than other types of ncRNAs. In our work, we found and confirmed differently expressed lncRNAs and mRNAs in atherosclerosis by analyzing GSE28829. We performed the weighted gene co-expression network analysis (WGCNA) by analyzing GSE40231 to confirm highly correlated genes. Gene Ontology (GO) analysis were utilized to assess the potential functions of differential expressed lncRNAs in atherosclerosis. Co-expression networks were also constructed to confirm hub lncRNAs in atherosclerosis. A total of 5784 mRNAs and 654 lncRNAs were found to be dysregulated in the progression of atherosclerosis. A total of 15 lncRNA-mRNA co-expression modules were identified in this study based on WGCNA analysis. Moreover, a few lncRNAs, such as ZFAS1, LOC100506730, LOC100506691, DOCK9-AS2, RP11-6I2.3, LOC100130219, were confirmed as important lncRNAs in atherosclerosis. Taken together, bioinformatics analysis revealed these lncRNAs were involved in regulating the leukotriene biosynthetic process, gene expression, actin filament organization, t-circle formation, antigen processing, and presentation, interferon-gamma-mediated signaling pathway, and activation of GTPase activity. We believed that this study would provide potential novel therapeutic and prognostic targets for atherosclerosis. Frontiers Media S.A. 2019-02-28 /pmc/articles/PMC6403132/ /pubmed/30873207 http://dx.doi.org/10.3389/fgene.2019.00123 Text en Copyright © 2019 Wang, Shi, Chen, Li, Cao and Hu. 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 Wang, Chuan-hui Shi, Hui-hua Chen, Lin-hui Li, Xiao-li Cao, Guo-liang Hu, Xiao-feng Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets |
title | Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets |
title_full | Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets |
title_fullStr | Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets |
title_full_unstemmed | Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets |
title_short | Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets |
title_sort | identification of key lncrnas associated with atherosclerosis progression based on public datasets |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403132/ https://www.ncbi.nlm.nih.gov/pubmed/30873207 http://dx.doi.org/10.3389/fgene.2019.00123 |
work_keys_str_mv | AT wangchuanhui identificationofkeylncrnasassociatedwithatherosclerosisprogressionbasedonpublicdatasets AT shihuihua identificationofkeylncrnasassociatedwithatherosclerosisprogressionbasedonpublicdatasets AT chenlinhui identificationofkeylncrnasassociatedwithatherosclerosisprogressionbasedonpublicdatasets AT lixiaoli identificationofkeylncrnasassociatedwithatherosclerosisprogressionbasedonpublicdatasets AT caoguoliang identificationofkeylncrnasassociatedwithatherosclerosisprogressionbasedonpublicdatasets AT huxiaofeng identificationofkeylncrnasassociatedwithatherosclerosisprogressionbasedonpublicdatasets |