| Dublin Core |
PKP Metadata Items |
Metadata for this Document |
| 1. |
Title |
Title of document |
AgeMeta: QUANTITATIVE GENE EXPRESSION DATABASE OF MAMMALIAN AGING |
| 2. |
Creator |
Author's name, affiliation, country |
S. A Tikhonov; Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University |
| 2. |
Creator |
Author's name, affiliation, country |
M. A Batin; Open Longevity |
| 2. |
Creator |
Author's name, affiliation, country |
V. N Gladyshev; Brigham and Women’s Hospital, Harvard Medical School |
| 2. |
Creator |
Author's name, affiliation, country |
S. E Dmitriev; Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University |
| 2. |
Creator |
Author's name, affiliation, country |
A. E Tyshkovskiy; Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University; Brigham and Women’s Hospital, Harvard Medical School |
| 3. |
Subject |
Discipline(s) |
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| 3. |
Subject |
Keyword(s) |
AgeMeta; age-meta; GSEA; aging; ageing; gene expression; differential expression; transcriptomics; mammalian; meta-analysis; AgeMeta; age-meta; database; GSEA |
| 4. |
Description |
Abstract |
AgeMeta is a database that provides systemic and quantitative description of mammalian aging at the level of gene expression. It encompasses transcriptomic changes with age across various tissues of humans, mice, and rats, based on a comprehensive meta-analysis of 122 publicly available gene expression datasets from 26 studies. AgeMeta provides an intuitive visual interface for quantification of aging-associated transcriptomics at the level of individual genes and functional groups of genes, allowing easy comparison among various species and tissues. Additionally, all the data in the database can be downloaded and analyzed independently. Overall, this work contributes to the understanding of the complex network of biological processes underlying mammalian aging and supports future advancements in this field. AgeMeta is freely available at: https://age-meta.com/. |
| 5. |
Publisher |
Organizing agency, location |
The Russian Academy of Sciences |
| 6. |
Contributor |
Sponsor(s) |
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| 7. |
Date |
(DD-MM-YYYY) |
15.12.2024
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| 8. |
Type |
Status & genre |
Peer-reviewed Article |
| 8. |
Type |
Type |
Research Article |
| 9. |
Format |
File format |
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| 10. |
Identifier |
Uniform Resource Identifier |
https://rjdentistry.com/0320-9725/article/view/665796 |
| 10. |
Identifier |
Digital Object Identifier (DOI) |
10.31857/S0320972524020099MHQEG |
| 10. |
Identifier |
eLIBRARY Document Number (EDN) |
XMHQEG |
| 11. |
Source |
Title; vol., no. (year) |
Biohimiâ; Vol 89, No 2 (2024) |
| 12. |
Language |
English=en |
ru |
| 13. |
Relation |
Supp. Files |
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| 14. |
Coverage |
Geo-spatial location, chronological period, research sample (gender, age, etc.) |
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| 15. |
Rights |
Copyright and permissions |
Copyright (c) 2024 Russian Academy of Sciences
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