Multiple studies characterizing the human ageing phenotype have been conducted for decades. However,thereisnocentralizedresourceinwhichdataon 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.
['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']
The Digital Ageing Atlas: integrating the diversity of age-related changes into a unified resource