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Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes
Alexey Moskalev1, Svetlana Zhikrivetskaya2, Mikhail Shaposhnikov3
1Laboratory of molecular radiobiology and gerontology, Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences, Syktyvkar, 167982, Russia Laboratory of genetics of aging and longevity, Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia Laboratory of postgenomic studies, Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow, 119991, Russia School of Systems Biology, George Mason University, VA, Manassas, 20110, USA Branch of N.I.Pirogov Russian State Medical University "Scientific Clinical Center of Gerontology", Moscow, 117997, Russia amoskalev@list.ru.
Abstract:
Aging research is a multi-disciplinary field encompassing knowledge from many areas of basic, applied and clinical research. Age-related processes occur on molecular, cellular, tissue, organ, system, organismal and even psychological levels, trigger the onset of multiple debilitating diseases and lead to a loss of function, and there is a need for a unified knowledge repository designed to track, analyze and visualize the cause and effect relationships and interactions between the many elements and processes on all levels. Aging Chart (http://agingchart.org/) is a new, community-curated collection of aging pathways and knowledge that provides a platform for rapid exploratory analysis. Building on an initial content base constructed by a team of experts from peer-reviewed literature, users can integrate new data into biological pathway diagrams for a visible, intuitive, top-down framework of aging processes that fosters knowledge-building and collaboration. As the body of knowledge in aging research is rapidly increasing, an open visual encyclopedia of aging processes will be useful to both the new entrants and experts in the field.
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