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Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration
Age-related macular degeneration (AMD) is the leading cause of severe, permanent vision loss among the elderly in the developed world. The cellular and molecular pathogenesis of initiation and development of AMD remain poorly delineated. The limited resources of the human AMD RPE/choroid tissues imp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456487/ https://www.ncbi.nlm.nih.gov/pubmed/32904543 http://dx.doi.org/10.1155/2020/2714746 |
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author | Zhang, Junyu Zhou, Yu |
author_facet | Zhang, Junyu Zhou, Yu |
author_sort | Zhang, Junyu |
collection | PubMed |
description | Age-related macular degeneration (AMD) is the leading cause of severe, permanent vision loss among the elderly in the developed world. The cellular and molecular pathogenesis of initiation and development of AMD remain poorly delineated. The limited resources of the human AMD RPE/choroid tissues impeded the extensive study of the disease. To better understand the molecular and pathway changes in human AMD RPE/choroid tissues, we searched the literature and found three independent studies using high-throughput technology to analyze gene expression in 54 human AMD RPE/choroid tissues and 46 age-matched healthy controls. We downloaded these data, pooled them together, and reanalyzed the difference between molecular and pathways by the Ingenuity Pathway Analysis (IPA) database. Totally, 353 differentially expressed genes (DEGs) were identified, among which 181 genes were downregulated and 172 genes were upregulated in RPE/choroid of AMD patients. Furthermore, several significantly enriched biological processes, including cancer, organismal injury and abnormalities, and ophthalmic disease, were identified associated with these DEGs. By analysis of canonical pathway, the phototransduction pathway and atherosclerosis signaling were the top two significant canonical pathways altered in RPE/choroid tissues in human AMD. As expected, several ophthalmic disease-related molecules, including RHO, PDE6A, 3′,5′-cyclic-GMP phosphodiesterase, and G protein alpha, were in the central nodes of disease network. The bioinformatics technology combined with the existing high-throughput data was applied to evaluate the underlying key genes and pathways in human AMD tissues, which may predict downstream and upstream biological processes and identify potential therapeutic intervention targets in human AMD. |
format | Online Article Text |
id | pubmed-7456487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-74564872020-09-03 Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration Zhang, Junyu Zhou, Yu J Ophthalmol Research Article Age-related macular degeneration (AMD) is the leading cause of severe, permanent vision loss among the elderly in the developed world. The cellular and molecular pathogenesis of initiation and development of AMD remain poorly delineated. The limited resources of the human AMD RPE/choroid tissues impeded the extensive study of the disease. To better understand the molecular and pathway changes in human AMD RPE/choroid tissues, we searched the literature and found three independent studies using high-throughput technology to analyze gene expression in 54 human AMD RPE/choroid tissues and 46 age-matched healthy controls. We downloaded these data, pooled them together, and reanalyzed the difference between molecular and pathways by the Ingenuity Pathway Analysis (IPA) database. Totally, 353 differentially expressed genes (DEGs) were identified, among which 181 genes were downregulated and 172 genes were upregulated in RPE/choroid of AMD patients. Furthermore, several significantly enriched biological processes, including cancer, organismal injury and abnormalities, and ophthalmic disease, were identified associated with these DEGs. By analysis of canonical pathway, the phototransduction pathway and atherosclerosis signaling were the top two significant canonical pathways altered in RPE/choroid tissues in human AMD. As expected, several ophthalmic disease-related molecules, including RHO, PDE6A, 3′,5′-cyclic-GMP phosphodiesterase, and G protein alpha, were in the central nodes of disease network. The bioinformatics technology combined with the existing high-throughput data was applied to evaluate the underlying key genes and pathways in human AMD tissues, which may predict downstream and upstream biological processes and identify potential therapeutic intervention targets in human AMD. Hindawi 2020-08-21 /pmc/articles/PMC7456487/ /pubmed/32904543 http://dx.doi.org/10.1155/2020/2714746 Text en Copyright © 2020 Junyu Zhang and Yu Zhou. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Junyu Zhou, Yu Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration |
title | Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration |
title_full | Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration |
title_fullStr | Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration |
title_full_unstemmed | Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration |
title_short | Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration |
title_sort | identification of key genes and pathways associated with age-related macular degeneration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456487/ https://www.ncbi.nlm.nih.gov/pubmed/32904543 http://dx.doi.org/10.1155/2020/2714746 |
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