The Digital Ageing Atlas: Integrating the diversity of age-related changes into a unified resource

Thomas Craig, Chris Smelick, Robi Tacutu, Daniel Wuttke, Shona H. Wood, Henry Stanley, Georges Janssens, Ekaterina Savitskaya, Alexey Moskalev, Robert Arking, João Pedro De Magalhães

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

Multiple studies characterizing the human ageing phenotype have been conducted for decades. However, there is no centralized resource in which data on multiple age-related changes are collated. Currently, researchers must consult several sources, including primary publications, in order to obtain age-related data at various levels. To address this and facilitate integrative, system-level studies of ageing we developed the Digital Ageing Atlas (DAA). The DAA is a one-stop collection of human age-related data covering different biological levels (molecular, cellular, physiological, psychological and pathological) that is freely available online (http://ageing-map.org/). Each of the >3000 age-related changes is associated with a specific tissue and has its own page displaying a variety of information, including at least one reference. Age-related changes can also be linked to each other in hierarchical trees to represent different types of relationships. In addition, we developed an intuitive and user-friendly interface that allows searching, browsing and retrieving information in an integrated and interactive fashion. Overall, the DAA offers a new approach to systemizing ageing resources, providing a manually-curated and readily accessible source of age-related changes.

Original languageEnglish
Pages (from-to)D873-D878
JournalNucleic Acids Research
Volume43
Issue numberD1
DOIs
StatePublished - 15 Jan 2015
Externally publishedYes

ASJC Scopus subject areas

  • Genetics

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