{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lu TC"],"funding":["NIA NIH HHS","NIDCD NIH HHS","NINDS NIH HHS","NCI NIH HHS","NIGMS NIH HHS"],"pagination":["eadg0934"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10829769"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["380(6650)"],"pubmed_abstract":["Aging 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 <i>Drosophila</i>. 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."],"journal":["Science (New York, N.Y.)"],"pubmed_title":["Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution."],"pmcid":["PMC10829769"],"funding_grant_id":["R01 NS083833","P30 CA008748","T32 GM136560","R01 DC005982","R00 AG062746"],"pubmed_authors":["Brbic M","Lee S","Ding SH","Chen YC","Pisco AO","Cai XT","Liang CY","Welsch D","Park YJ","Qi Y","Katheder NS","Li H","Lu TC","Jasper H","D'Souza S","Jackson T","Chen J","Leskovec J","Auld N","Luo L","Quake SR","Jones RC","Lai EC","Kolluru SS","Bellen HJ"],"additional_accession":[]},"is_claimable":false,"name":"Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution.","description":"Aging 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 <i>Drosophila</i>. 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.","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jun","modification":"2025-04-26T10:29:57.161Z","creation":"2025-04-06T13:23:40.571Z"},"accession":"S-EPMC10829769","cross_references":{"pubmed":["37319212"],"doi":["10.1126/science.adg0934"]}}