e.g. IL6;  SIRT6; 

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 Welcome to Aging Atlas


(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


(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: KAT7

Description for this gene: The protein encoded by this gene is part of the multimeric HBO1 complex, which possesses histone H4-specific acetyltransferase activity. This activity is required for functional replication origins and is involved in transcriptional activation of some genes. In both cases, the acetylation of histone H4 helps unfold chromatin so that the DNA can be accessed and replicated or transcribed. [provided by RefSeq, Oct 2016]

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  Latest Updates

  • 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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