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An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx)
Aging is a complex biological process that is far from being completely understood. Analyzing transcriptional differences across age might help uncover genetic bases of aging. In this study, 1573 differentially expressed genes, related to chronological age, from the Genotype-Tissue Expression (GTEx)...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102484/ https://www.ncbi.nlm.nih.gov/pubmed/30155276 http://dx.doi.org/10.1038/s41420-018-0093-y |
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author | Jia, Kaiwen Cui, Chunmei Gao, Yuanxu Zhou, Yuan Cui, Qinghua |
author_facet | Jia, Kaiwen Cui, Chunmei Gao, Yuanxu Zhou, Yuan Cui, Qinghua |
author_sort | Jia, Kaiwen |
collection | PubMed |
description | Aging is a complex biological process that is far from being completely understood. Analyzing transcriptional differences across age might help uncover genetic bases of aging. In this study, 1573 differentially expressed genes, related to chronological age, from the Genotype-Tissue Expression (GTEx) project, were categorized as upregulated age-associated genes (UAGs) and downregulated age-associated genes (DAGs). Characteristics in evolution, expression, function and molecular networks were comprehensively described and compared for UAGs, DAGs and other genes. Analyses revealed that UAGs are more clustered, more quickly evolving, more tissue specific and have accumulated more single-nucleotide polymorphisms (SNPs) and disease genes than DAGs. DAGs were found with a lower evolutionary rate, higher expression level, greater homologous gene number, smaller phyletic age and earlier expression in body development. UAGs are more likely to be located in the extracellular region and to occur in both immune-relevant processes and cancer-related pathways. By contrast, DAGs are more likely to be located intracellularly and to be enriched in catabolic and metabolic processes. Moreover, DAGs are also critical in a protein–protein interaction (PPI) network, whereas UAGs have more influence on a signaling network. This study highlights characteristics of the aging transcriptional landscape in a healthy population, which may benefit future studies on the aging process and provide a broader horizon for age-dependent precision medicine. |
format | Online Article Text |
id | pubmed-6102484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61024842018-08-28 An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) Jia, Kaiwen Cui, Chunmei Gao, Yuanxu Zhou, Yuan Cui, Qinghua Cell Death Discov Article Aging is a complex biological process that is far from being completely understood. Analyzing transcriptional differences across age might help uncover genetic bases of aging. In this study, 1573 differentially expressed genes, related to chronological age, from the Genotype-Tissue Expression (GTEx) project, were categorized as upregulated age-associated genes (UAGs) and downregulated age-associated genes (DAGs). Characteristics in evolution, expression, function and molecular networks were comprehensively described and compared for UAGs, DAGs and other genes. Analyses revealed that UAGs are more clustered, more quickly evolving, more tissue specific and have accumulated more single-nucleotide polymorphisms (SNPs) and disease genes than DAGs. DAGs were found with a lower evolutionary rate, higher expression level, greater homologous gene number, smaller phyletic age and earlier expression in body development. UAGs are more likely to be located in the extracellular region and to occur in both immune-relevant processes and cancer-related pathways. By contrast, DAGs are more likely to be located intracellularly and to be enriched in catabolic and metabolic processes. Moreover, DAGs are also critical in a protein–protein interaction (PPI) network, whereas UAGs have more influence on a signaling network. This study highlights characteristics of the aging transcriptional landscape in a healthy population, which may benefit future studies on the aging process and provide a broader horizon for age-dependent precision medicine. Nature Publishing Group UK 2018-08-20 /pmc/articles/PMC6102484/ /pubmed/30155276 http://dx.doi.org/10.1038/s41420-018-0093-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jia, Kaiwen Cui, Chunmei Gao, Yuanxu Zhou, Yuan Cui, Qinghua An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) |
title | An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) |
title_full | An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) |
title_fullStr | An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) |
title_full_unstemmed | An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) |
title_short | An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx) |
title_sort | analysis of aging-related genes derived from the genotype-tissue expression project (gtex) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102484/ https://www.ncbi.nlm.nih.gov/pubmed/30155276 http://dx.doi.org/10.1038/s41420-018-0093-y |
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