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Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
Skin aging is a specific manifestation of the physiological aging process that occurs in virtually all organisms. In this study, we used data independent acquisition mass spectrometry to perform a comparative analysis of protein expression in volar forearm skin samples from of 20 healthy young and e...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377841/ https://www.ncbi.nlm.nih.gov/pubmed/32602849 http://dx.doi.org/10.18632/aging.103461 |
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author | Ma, Jing Liu, Mengting Wang, Yaochi Xin, Cong Zhang, Hui Chen, Shirui Zheng, Xiaodong Zhang, Xuejun Xiao, Fengli Yang, Sen |
author_facet | Ma, Jing Liu, Mengting Wang, Yaochi Xin, Cong Zhang, Hui Chen, Shirui Zheng, Xiaodong Zhang, Xuejun Xiao, Fengli Yang, Sen |
author_sort | Ma, Jing |
collection | PubMed |
description | Skin aging is a specific manifestation of the physiological aging process that occurs in virtually all organisms. In this study, we used data independent acquisition mass spectrometry to perform a comparative analysis of protein expression in volar forearm skin samples from of 20 healthy young and elderly Chinese individuals. Our quantitative proteomic analysis identified a total of 95 differentially expressed proteins (DEPs) in aged skin compared to young skin. Enrichment analyses of these DEPs (57 upregulated and 38 downregulated proteins) based on the GO, KEGG, and KOG databases revealed functional clusters associated with immunity and inflammation, oxidative stress, biosynthesis and metabolism, proteases, cell proliferation, cell differentiation, and apoptosis. We also found that GAPDH, which was downregulated in aged skin samples, was the top hub gene in a protein-protein interaction network analysis. Some of the DEPs identified herein had been previously correlated with aging of the skin and other organs, while others may represent novel age-related entities. Our non-invasive proteomics analysis of human epidermal proteins may guide future research on skin aging to help develop treatments for age-related skin conditions and rejuvenation. |
format | Online Article Text |
id | pubmed-7377841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-73778412020-07-31 Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins Ma, Jing Liu, Mengting Wang, Yaochi Xin, Cong Zhang, Hui Chen, Shirui Zheng, Xiaodong Zhang, Xuejun Xiao, Fengli Yang, Sen Aging (Albany NY) Research Paper Skin aging is a specific manifestation of the physiological aging process that occurs in virtually all organisms. In this study, we used data independent acquisition mass spectrometry to perform a comparative analysis of protein expression in volar forearm skin samples from of 20 healthy young and elderly Chinese individuals. Our quantitative proteomic analysis identified a total of 95 differentially expressed proteins (DEPs) in aged skin compared to young skin. Enrichment analyses of these DEPs (57 upregulated and 38 downregulated proteins) based on the GO, KEGG, and KOG databases revealed functional clusters associated with immunity and inflammation, oxidative stress, biosynthesis and metabolism, proteases, cell proliferation, cell differentiation, and apoptosis. We also found that GAPDH, which was downregulated in aged skin samples, was the top hub gene in a protein-protein interaction network analysis. Some of the DEPs identified herein had been previously correlated with aging of the skin and other organs, while others may represent novel age-related entities. Our non-invasive proteomics analysis of human epidermal proteins may guide future research on skin aging to help develop treatments for age-related skin conditions and rejuvenation. Impact Journals 2020-06-29 /pmc/articles/PMC7377841/ /pubmed/32602849 http://dx.doi.org/10.18632/aging.103461 Text en Copyright © 2020 Ma et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Ma, Jing Liu, Mengting Wang, Yaochi Xin, Cong Zhang, Hui Chen, Shirui Zheng, Xiaodong Zhang, Xuejun Xiao, Fengli Yang, Sen Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins |
title | Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins |
title_full | Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins |
title_fullStr | Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins |
title_full_unstemmed | Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins |
title_short | Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins |
title_sort | quantitative proteomics analysis of young and elderly skin with dia mass spectrometry reveals new skin aging-related proteins |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377841/ https://www.ncbi.nlm.nih.gov/pubmed/32602849 http://dx.doi.org/10.18632/aging.103461 |
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