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Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration

DNA methylation plays a significant role in many diseases. Age-related macular degeneration (AMD) is a leading cause of vision loss for people aged 50 years and above, but the etiology and pathogenesis are largely unknown. This study aimed to identify the aberrantly methylated differentially express...

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Autores principales: Xu, Zixuan, Ruan, Zhaohui, Huang, Xuetao, Liu, Qiang, Li, Zhaozhi, Zhou, Xueyun, Zhang, Xian, Shang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455998/
https://www.ncbi.nlm.nih.gov/pubmed/30946360
http://dx.doi.org/10.1097/MD.0000000000015083
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author Xu, Zixuan
Ruan, Zhaohui
Huang, Xuetao
Liu, Qiang
Li, Zhaozhi
Zhou, Xueyun
Zhang, Xian
Shang, Lei
author_facet Xu, Zixuan
Ruan, Zhaohui
Huang, Xuetao
Liu, Qiang
Li, Zhaozhi
Zhou, Xueyun
Zhang, Xian
Shang, Lei
author_sort Xu, Zixuan
collection PubMed
description DNA methylation plays a significant role in many diseases. Age-related macular degeneration (AMD) is a leading cause of vision loss for people aged 50 years and above, but the etiology and pathogenesis are largely unknown. This study aimed to identify the aberrantly methylated differentially expressed genes (DEGs) in AMD and predict the related pathways on the basis of public data. Aberrant methylation can influence the functions of key genes by altering their expression. Here, we found out DEGs by overlapping public microarray data (GSE29801 and GSE102952). Functional and enrichment analyses of selected genes were performed using the DAVID database. Subsequently, protein–protein interaction (PPI) networks were constructed by using STRING and visualized in cytoscape to determine hub genes. Finally, we collected AMD patients’ blood samples to identify the methylation statuses of these hub genes by using methylated DNA immunoprecipitation. In total, 156 hypermethylation-low expression genes and 127 hypomethylation-high expression genes were predicted. The hypermethylation-low expression genes were enriched in biological processes of response to cardiac conduction, ATP binding, and cell–cell junction assembly. The top 5 hub genes of the PPI network were HSP90AA1, HSPA1L, HSPE1, HSP90B1, and NOP56. Meanwhile, the hypomethylation-high expression genes were enriched in the biological processes of response to positive regulation of the MAPK cascade, actin cytoskeleton reorganization, dentate gyrus development, and cell migration. The top 5 hub genes of this PPI network were PIK3R1, EZR, IGF2, SLC2A1, and CDKN1C. Moreover, the methylation statuses of NOP56, EZR, IGF2, SLC2A1, CDKN1C were confirmed to be altered in the blood of AMD patients. This study indicated possible aberrantly methylated DEGs and differentially expressed pathways in AMD by bioinformatics analysis, providing novel insights for unraveling the pathogenesis of AMD. Hub genes, including NOP56, EZR, IGF2, SLC2A1, CDKN1C, might serve as aberrant methylation-based candidate biomarkers for AMD in future applications.
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spelling pubmed-64559982019-05-29 Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration Xu, Zixuan Ruan, Zhaohui Huang, Xuetao Liu, Qiang Li, Zhaozhi Zhou, Xueyun Zhang, Xian Shang, Lei Medicine (Baltimore) Research Article DNA methylation plays a significant role in many diseases. Age-related macular degeneration (AMD) is a leading cause of vision loss for people aged 50 years and above, but the etiology and pathogenesis are largely unknown. This study aimed to identify the aberrantly methylated differentially expressed genes (DEGs) in AMD and predict the related pathways on the basis of public data. Aberrant methylation can influence the functions of key genes by altering their expression. Here, we found out DEGs by overlapping public microarray data (GSE29801 and GSE102952). Functional and enrichment analyses of selected genes were performed using the DAVID database. Subsequently, protein–protein interaction (PPI) networks were constructed by using STRING and visualized in cytoscape to determine hub genes. Finally, we collected AMD patients’ blood samples to identify the methylation statuses of these hub genes by using methylated DNA immunoprecipitation. In total, 156 hypermethylation-low expression genes and 127 hypomethylation-high expression genes were predicted. The hypermethylation-low expression genes were enriched in biological processes of response to cardiac conduction, ATP binding, and cell–cell junction assembly. The top 5 hub genes of the PPI network were HSP90AA1, HSPA1L, HSPE1, HSP90B1, and NOP56. Meanwhile, the hypomethylation-high expression genes were enriched in the biological processes of response to positive regulation of the MAPK cascade, actin cytoskeleton reorganization, dentate gyrus development, and cell migration. The top 5 hub genes of this PPI network were PIK3R1, EZR, IGF2, SLC2A1, and CDKN1C. Moreover, the methylation statuses of NOP56, EZR, IGF2, SLC2A1, CDKN1C were confirmed to be altered in the blood of AMD patients. This study indicated possible aberrantly methylated DEGs and differentially expressed pathways in AMD by bioinformatics analysis, providing novel insights for unraveling the pathogenesis of AMD. Hub genes, including NOP56, EZR, IGF2, SLC2A1, CDKN1C, might serve as aberrant methylation-based candidate biomarkers for AMD in future applications. Wolters Kluwer Health 2019-04-05 /pmc/articles/PMC6455998/ /pubmed/30946360 http://dx.doi.org/10.1097/MD.0000000000015083 Text en Copyright © 2019 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 Research Article
Xu, Zixuan
Ruan, Zhaohui
Huang, Xuetao
Liu, Qiang
Li, Zhaozhi
Zhou, Xueyun
Zhang, Xian
Shang, Lei
Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
title Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
title_full Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
title_fullStr Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
title_full_unstemmed Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
title_short Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
title_sort identification of aberrantly methylated differentially expressed genes in age-related macular degeneration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455998/
https://www.ncbi.nlm.nih.gov/pubmed/30946360
http://dx.doi.org/10.1097/MD.0000000000015083
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