Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution Journal Article


Authors: Lu, T. C.; Brbić, M.; Park, Y. J.; Jackson, T.; Chen, J.; Kolluru, S. S.; Qi, Y.; Katheder, N. S.; Cai, X. T.; Lee, S.; Chen, Y. C.; Auld, N.; Liang, C. Y.; Ding, S. H.; Welsch, D.; D’Souza, S.; Pisco, A. O.; Jones, R. C.; Leskovec, J.; Lai, E. C.; Bellen, H. J.; Luo, L.; Jasper, H.; Quake, S. R.; Li, H.
Article Title: Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution
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 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. Copyright © 2023 the authors, some rights reserved.
Keywords: human tissue; genetics; nonhuman; animal; metabolism; animals; gene expression; gene expression profiling; drosophila; age; aging; transcriptome; cell aging; cell; atlas; resolution; cell composition; cellular senescence; article
Journal Title: Science
Volume: 380
Issue: 6650
ISSN: 0036-8075
Publisher: American Association for the Advancement of Science  
Date Published: 2023-06-16
Start Page: eadg0934
Language: English
DOI: 10.1126/science.adg0934
PUBMED: 37319212
PROVIDER: scopus
PMCID: PMC10829769
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF. Corresponding author is MSK author Eric C. Lai -- Source: Scopus
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  1. Eric C Lai
    159 Lai
  2. Seungjae Lee
    8 Lee