e.g. IL6;  SIRT6; 

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 Welcome to Aging Atlas

Proteomics

(Protein-protein Interaction)


The proteomics module focuses on datasets that reflect physical protein associations and helps to build protein-protein interaction networks.






 Welcome to Aging Atlas

Pharmacogenomics

(Geroprotective Compounds)


The pharmacogenomics module focuses on geroprotectors. Currently, the module has a list of hundreds of compounds and contains omics datasets from drug therapy analysis (both in vivo and in vitro), revealing changes in gene regulation and expression caused by the supplementation of specific lifespan/healthspan-extending drugs.







Welcome to Aging Atlas


Aging Atlas aims to compile large gene expression and regulation datasets created by a range of high-throughput omics technologies and serve as a valuable resource for a range of life science researchers. The current implementation includes five modules: transcriptomics, epigenomics, single-cell transcriptomics, proteomics, and pharmacogenomics. Aging Atlas provides user-friendly functionalities to explore age-related changes in gene expression and provides download services for raw multi-omics data from aging-related research.

Gene of the Month


Gene name: DDX58

Description for this gene: DEAD box proteins, characterized by the conserved motif Asp-Glu-Ala-Asp (DEAD), are putative RNA helicases which are implicated in a number of cellular processes involving RNA binding and alteration of RNA secondary structure. This gene encodes a protein containing RNA helicase-DEAD box protein motifs and a caspase recruitment domain (CARD). It is involved in viral double-stranded (ds) RNA recognition and the regulation of immune response. [provided by RefSeq, Jul 2008]

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Under maintenance

  Latest Updates

  • One publication has been added in the single-cell transcriptomics module. (2024-05)

  • One publication has been added in the single-cell transcriptomics module. (2024-03)

  • One publication has been added in the single-cell transcriptomics module. (2023-12)

  • One publication has been added in the single-cell transcriptomics module. (2023-09)

  • One publication has been added in the single-cell transcriptomics module. (2023-06)

  • One publication has been added in the single-cell transcriptomics module and two data sets have been added in the transcriptomics module. (2023-01-10)

  • One publication has been added in the single-cell transcriptomics module. (2022-12-16)

  • One publication has been added in the Transcriptomics module. (2022-07-09)

  • One publication has been added in the Transcriptomics module. (2022-04-17)

  • One publication has been added in the single-cell transcriptomics module. (2021-12-08)

  • Four publications have been added in the single-cell transcriptomics module. (2021-10-19)

  • Three data sets have been added in the transcriptomics module. （2021-03-09）

  • Aging-related gene set version 2.0 officially launched. （2021-01-13）

  • Eight data sets have been added in the transcriptomics module. （2021-01-05）

  • Two publications have been added in the single-cell transcriptomics module. (2020-10-17)

  • Nine publications have been added in the transcriptomics module. (2020-09-25)

  • The Aging Atlas version 1 was released. (2020-06-28)

  How to Cite

Aging Atlas Consortium, Aging Atlas: a multi-omics database for aging biology, Nucleic Acids Research, gkaa894,https://doi.org/10.1093/nar/gkaa894

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