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Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data
This study was aimed to explore the crucial genes and microRNAs (miRNAs) associated with the carotid atherosclerosis (CA). Two public datasets GSE28829 and GSE43292 were obtained from Gene Expression Omnibus databases to analyze the differentially expressed genes (DEGs) between primary and advanced...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895374/ https://www.ncbi.nlm.nih.gov/pubmed/29595698 http://dx.doi.org/10.1097/MD.0000000000009832 |
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author | Mao, Zhanglin Wu, Fen Shan, Yunfeng |
author_facet | Mao, Zhanglin Wu, Fen Shan, Yunfeng |
author_sort | Mao, Zhanglin |
collection | PubMed |
description | This study was aimed to explore the crucial genes and microRNAs (miRNAs) associated with the carotid atherosclerosis (CA). Two public datasets GSE28829 and GSE43292 were obtained from Gene Expression Omnibus databases to analyze the differentially expressed genes (DEGs) between primary and advanced atherosclerotic plaque tissues. The Gene Ontology (GO) terms, pathways, and protein–protein interactions (PPIs) of these DEGs were analyzed. miRNAs and transcription factor (TF) were predicted. A total of 112 upregulated and 179 downregulated intersection DEGs were identified between 2 datasets. In the PPI network, HSP90AB1 (degree = 19), RAP1A (degree = 14), and integrin subunit beta 1 (ITGB1) had higher degrees. A total of 23 miRNAs were predicted, such as miR-126, miR-155, miR-19A, and miR-19B. Four TFs were associated with upregulated DEGs, while 10 TFs were identified to be associated with downregulated genes. Our study suggests the important roles of HSP90AB1, RAP1A, and integrins proteins of ITGB1, ITGA11, ITGA9, and ITGB2 in the progression of CA plaque. Additionally, miR-126, miR-155, miR-19B, and miR-19A may be considered as biomarkers of CA. |
format | Online Article Text |
id | pubmed-5895374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-58953742018-04-18 Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data Mao, Zhanglin Wu, Fen Shan, Yunfeng Medicine (Baltimore) 3400 This study was aimed to explore the crucial genes and microRNAs (miRNAs) associated with the carotid atherosclerosis (CA). Two public datasets GSE28829 and GSE43292 were obtained from Gene Expression Omnibus databases to analyze the differentially expressed genes (DEGs) between primary and advanced atherosclerotic plaque tissues. The Gene Ontology (GO) terms, pathways, and protein–protein interactions (PPIs) of these DEGs were analyzed. miRNAs and transcription factor (TF) were predicted. A total of 112 upregulated and 179 downregulated intersection DEGs were identified between 2 datasets. In the PPI network, HSP90AB1 (degree = 19), RAP1A (degree = 14), and integrin subunit beta 1 (ITGB1) had higher degrees. A total of 23 miRNAs were predicted, such as miR-126, miR-155, miR-19A, and miR-19B. Four TFs were associated with upregulated DEGs, while 10 TFs were identified to be associated with downregulated genes. Our study suggests the important roles of HSP90AB1, RAP1A, and integrins proteins of ITGB1, ITGA11, ITGA9, and ITGB2 in the progression of CA plaque. Additionally, miR-126, miR-155, miR-19B, and miR-19A may be considered as biomarkers of CA. Wolters Kluwer Health 2018-03-30 /pmc/articles/PMC5895374/ /pubmed/29595698 http://dx.doi.org/10.1097/MD.0000000000009832 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | 3400 Mao, Zhanglin Wu, Fen Shan, Yunfeng Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data |
title | Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data |
title_full | Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data |
title_fullStr | Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data |
title_full_unstemmed | Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data |
title_short | Identification of key genes and miRNAs associated with carotid atherosclerosis based on mRNA-seq data |
title_sort | identification of key genes and mirnas associated with carotid atherosclerosis based on mrna-seq data |
topic | 3400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895374/ https://www.ncbi.nlm.nih.gov/pubmed/29595698 http://dx.doi.org/10.1097/MD.0000000000009832 |
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