Lu, Tzu-ChiaoBrbic, MariaPark, Ye-JinJackson, TylerChen, JiayeKolluru, Sai SarojaQi, YanyanKatheder, Nadja SandraCai, Xiaoyu TracyLee, SeungjaeChen, Yen -ChungAuld, NiccoleLiang, Chung-YiDing, Sophia H.Welsch, DougD'Souza, SamuelPisco, Angela OliveiraJones, Robert C.Leskovec, JureLai, Eric C.Bellen, Hugo J.Luo, LiqunJasper, HeinrichQuake, Stephen R.Li, Hongjie2023-09-112023-09-112023-09-112023-06-1610.1126/science.adg0934https://infoscience.epfl.ch/handle/20.500.14299/200614WOS:001010744500001Aging is characterized by a decline in tissue function, but the underlying changes at cellular resolution across the organism remain unclear. Here, we present the Aging Fly Cell Atlas, a single-nucleus transcriptomic map of the whole aging Drosophila. We characterized 163 distinct cell types and performed an in-depth analysis of changes in tissue cell composition, gene expression, and cell identities. We further developed aging clock models to predict fly age and show that ribosomal gene expression is a conserved predictive factor for age. Combining all aging features, we find distinctive cell type-specific aging patterns. This atlas provides a valuable resource for studying fundamental principles of aging in complex organisms.Multidisciplinary SciencesScience & Technology - Other Topicsstem-cellsdrosophilapolyploidizationmidgutimpacttext::journal::journal article::research article