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Comparison of multi-tissue aging between human and mouse
With the rapid growth of the aging population, exploring the biological basis of aging and related molecular mechanisms has become an important topic in modern scientific research. Aging can cause multiple organ function attenuations, leading to the occurrence and development of various age-related...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470208/ https://www.ncbi.nlm.nih.gov/pubmed/30996271 http://dx.doi.org/10.1038/s41598-019-42485-3 |
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author | Zhuang, Jujuan Zhang, Lijun Dai, Shuang Cui, Lingyu Guo, Cheng Sloofman, Laura Yang, Jialiang |
author_facet | Zhuang, Jujuan Zhang, Lijun Dai, Shuang Cui, Lingyu Guo, Cheng Sloofman, Laura Yang, Jialiang |
author_sort | Zhuang, Jujuan |
collection | PubMed |
description | With the rapid growth of the aging population, exploring the biological basis of aging and related molecular mechanisms has become an important topic in modern scientific research. Aging can cause multiple organ function attenuations, leading to the occurrence and development of various age-related metabolic, nervous system, and cardiovascular diseases. In addition, aging is closely related to the occurrence and development of tumors. Although a number of studies have used various mouse models to study aging, further research is needed to associate mouse and human aging at the molecular level. In this paper, we systematically assessed the relationship between human and mouse aging by comparing multi-tissue age-related gene expression sets. We compared 18 human and mouse tissues, and found 9 significantly correlated tissue pairs. Functional analysis also revealed some terms related to aging in human and mouse. And we performed a crosswise comparison of homologous age-related genes with 18 tissues in human and mouse respectively, and found that human Brain_Cortex was significantly correlated with Brain_Hippocampus, which was also found in mouse. In addition, we focused on comparing four brain-related tissues in human and mouse, and found a gene–GFAP–related to aging in both human and mouse. |
format | Online Article Text |
id | pubmed-6470208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64702082019-04-25 Comparison of multi-tissue aging between human and mouse Zhuang, Jujuan Zhang, Lijun Dai, Shuang Cui, Lingyu Guo, Cheng Sloofman, Laura Yang, Jialiang Sci Rep Article With the rapid growth of the aging population, exploring the biological basis of aging and related molecular mechanisms has become an important topic in modern scientific research. Aging can cause multiple organ function attenuations, leading to the occurrence and development of various age-related metabolic, nervous system, and cardiovascular diseases. In addition, aging is closely related to the occurrence and development of tumors. Although a number of studies have used various mouse models to study aging, further research is needed to associate mouse and human aging at the molecular level. In this paper, we systematically assessed the relationship between human and mouse aging by comparing multi-tissue age-related gene expression sets. We compared 18 human and mouse tissues, and found 9 significantly correlated tissue pairs. Functional analysis also revealed some terms related to aging in human and mouse. And we performed a crosswise comparison of homologous age-related genes with 18 tissues in human and mouse respectively, and found that human Brain_Cortex was significantly correlated with Brain_Hippocampus, which was also found in mouse. In addition, we focused on comparing four brain-related tissues in human and mouse, and found a gene–GFAP–related to aging in both human and mouse. Nature Publishing Group UK 2019-04-17 /pmc/articles/PMC6470208/ /pubmed/30996271 http://dx.doi.org/10.1038/s41598-019-42485-3 Text en © The Author(s) 2019 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 Zhuang, Jujuan Zhang, Lijun Dai, Shuang Cui, Lingyu Guo, Cheng Sloofman, Laura Yang, Jialiang Comparison of multi-tissue aging between human and mouse |
title | Comparison of multi-tissue aging between human and mouse |
title_full | Comparison of multi-tissue aging between human and mouse |
title_fullStr | Comparison of multi-tissue aging between human and mouse |
title_full_unstemmed | Comparison of multi-tissue aging between human and mouse |
title_short | Comparison of multi-tissue aging between human and mouse |
title_sort | comparison of multi-tissue aging between human and mouse |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470208/ https://www.ncbi.nlm.nih.gov/pubmed/30996271 http://dx.doi.org/10.1038/s41598-019-42485-3 |
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