AgeMeta: QUANTITATIVE GENE EXPRESSION DATABASE OF MAMMALIAN AGING

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Resumo

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/.

Sobre autores

S. Tikhonov

Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University

119992 Moscow, Russia; 119234 Moscow, Russia

M. Batin

Open Longevity

Sherman Oaks, CA 91403, USA

V. Gladyshev

Brigham and Women’s Hospital, Harvard Medical School

Boston, MA 02115, USA

S. Dmitriev

Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University

119992 Moscow, Russia; 119234 Moscow, Russia

A. Tyshkovskiy

Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University; Brigham and Women’s Hospital, Harvard Medical School

Email: atyshkovskii@bwh.harvard.edu
119992 Moscow, Russia; Boston, MA 02115, USA

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Declaração de direitos autorais © Russian Academy of Sciences, 2024

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