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AgingReG: a curated database of aging regulatory relationships in humans
Aging and cellular senescence are characterized by a progressive loss of physiological integrity, which could be triggered by aging factors such as physiological, pathological and external factors. Numerous studies have shown that gene regulatory events play crucial roles in aging, increasing the ne...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558184/ https://www.ncbi.nlm.nih.gov/pubmed/37805704 http://dx.doi.org/10.1093/database/baad064 |
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author | Piao, Minghui Feng, Ke Liu, Xinyu Bai, Xuefeng Zheng, Yuqi Sun, Meiling Zhao, Peng Wang, Yani Ban, Xiaofang Xiong, Jie Shi, Chengyu Meng, Li Liu, Yuxin Yu, Li Li, Jing Zhong, Shan Jiang, Xinjian Chen, Yu Sun, Xin Zheng, Yan Tian, Jinwei |
author_facet | Piao, Minghui Feng, Ke Liu, Xinyu Bai, Xuefeng Zheng, Yuqi Sun, Meiling Zhao, Peng Wang, Yani Ban, Xiaofang Xiong, Jie Shi, Chengyu Meng, Li Liu, Yuxin Yu, Li Li, Jing Zhong, Shan Jiang, Xinjian Chen, Yu Sun, Xin Zheng, Yan Tian, Jinwei |
author_sort | Piao, Minghui |
collection | PubMed |
description | Aging and cellular senescence are characterized by a progressive loss of physiological integrity, which could be triggered by aging factors such as physiological, pathological and external factors. Numerous studies have shown that gene regulatory events play crucial roles in aging, increasing the need for a comprehensive repository of regulatory relationships during aging. Here, we established a manually curated database of aging factors (AgingReG, https://bio.liclab.net/Aging-ReG/), focusing on the regulatory relationships during aging with experimental evidence in humans. By curating thousands of published literature, 2157 aging factor entries (1345 aging gene entries, 804 external factor entries and eight aging-related pathway entries) and related regulatory information were manually curated. The regulatory relationships were classified into four types according to their functions: (i) upregulation, which indicates that aging factors upregulate the expression of target genes during aging; (ii) downregulation, which indicates that aging factors downregulate the expression of target genes during aging; (iii) activation, which indicates that aging factors influence the activity of target genes during aging and (iv) inhibition, which indicates that aging factors inhibit the activation of target molecule activity, leading to declined or lost target activity. AgingReG involves 651 upregulating pairs, 632 downregulating pairs, 330 activation-regulating pairs and 34 inhibition-regulating pairs, covering 195 disease types and more than 800 kinds of cells and tissues from 1784 published literature studies. AgingReG provides a user-friendly interface to query, browse and visualize detailed information about the regulatory relationships during aging. We believe that AgingReG will serve as a valuable resource database in the field of aging research. Database URL: https://bio.liclab.net/Aging-ReG/ |
format | Online Article Text |
id | pubmed-10558184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105581842023-10-07 AgingReG: a curated database of aging regulatory relationships in humans Piao, Minghui Feng, Ke Liu, Xinyu Bai, Xuefeng Zheng, Yuqi Sun, Meiling Zhao, Peng Wang, Yani Ban, Xiaofang Xiong, Jie Shi, Chengyu Meng, Li Liu, Yuxin Yu, Li Li, Jing Zhong, Shan Jiang, Xinjian Chen, Yu Sun, Xin Zheng, Yan Tian, Jinwei Database (Oxford) Database Tool Aging and cellular senescence are characterized by a progressive loss of physiological integrity, which could be triggered by aging factors such as physiological, pathological and external factors. Numerous studies have shown that gene regulatory events play crucial roles in aging, increasing the need for a comprehensive repository of regulatory relationships during aging. Here, we established a manually curated database of aging factors (AgingReG, https://bio.liclab.net/Aging-ReG/), focusing on the regulatory relationships during aging with experimental evidence in humans. By curating thousands of published literature, 2157 aging factor entries (1345 aging gene entries, 804 external factor entries and eight aging-related pathway entries) and related regulatory information were manually curated. The regulatory relationships were classified into four types according to their functions: (i) upregulation, which indicates that aging factors upregulate the expression of target genes during aging; (ii) downregulation, which indicates that aging factors downregulate the expression of target genes during aging; (iii) activation, which indicates that aging factors influence the activity of target genes during aging and (iv) inhibition, which indicates that aging factors inhibit the activation of target molecule activity, leading to declined or lost target activity. AgingReG involves 651 upregulating pairs, 632 downregulating pairs, 330 activation-regulating pairs and 34 inhibition-regulating pairs, covering 195 disease types and more than 800 kinds of cells and tissues from 1784 published literature studies. AgingReG provides a user-friendly interface to query, browse and visualize detailed information about the regulatory relationships during aging. We believe that AgingReG will serve as a valuable resource database in the field of aging research. Database URL: https://bio.liclab.net/Aging-ReG/ Oxford University Press 2023-10-06 /pmc/articles/PMC10558184/ /pubmed/37805704 http://dx.doi.org/10.1093/database/baad064 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Piao, Minghui Feng, Ke Liu, Xinyu Bai, Xuefeng Zheng, Yuqi Sun, Meiling Zhao, Peng Wang, Yani Ban, Xiaofang Xiong, Jie Shi, Chengyu Meng, Li Liu, Yuxin Yu, Li Li, Jing Zhong, Shan Jiang, Xinjian Chen, Yu Sun, Xin Zheng, Yan Tian, Jinwei AgingReG: a curated database of aging regulatory relationships in humans |
title | AgingReG: a curated database of aging regulatory relationships in humans |
title_full | AgingReG: a curated database of aging regulatory relationships in humans |
title_fullStr | AgingReG: a curated database of aging regulatory relationships in humans |
title_full_unstemmed | AgingReG: a curated database of aging regulatory relationships in humans |
title_short | AgingReG: a curated database of aging regulatory relationships in humans |
title_sort | agingreg: a curated database of aging regulatory relationships in humans |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558184/ https://www.ncbi.nlm.nih.gov/pubmed/37805704 http://dx.doi.org/10.1093/database/baad064 |
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