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