Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution

• 成果类型: Article
• 署名作者: Lu, Tzu-Chiao; Brbic, Maria; Park, Ye-Jin; Jackson, Tyler; Chen, Jiaye; Kolluru, Sai Saroja; Qi, Yanyan; Katheder, Nadja Sandra; Cai, Xiaoyu Tracy; Lee, Seungjae; Chen, Yen -Chung; Auld, Niccole; Liang, Chung-Yi; Ding, Sophia H.; Welsch, Doug; D'Souza, Samuel; Pisco, Angela Oliveira; Jones, Robert C.; Leskovec, Jure; Lai, Eric C.; Bellen, Hugo J.; Luo, Liqun; Jasper, Heinrich; Quake, Stephen R.; Li, Hongjie
• 署名单位: Baylor College of Medicine; Baylor College of Medicine; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Baylor College of Medicine; Baylor College of Medicine; Baylor College Medical Hospital; Baylor College of Medicine; Baylor College of Medicine; Stanford University; Stanford University; Chan Zuckerberg Initiative (CZI); Roche Holding; Roche Holding USA; Genentech; Memorial Sloan Kettering Cancer Center; New York University; Stanford University; Stanford University; Howard Hughes Medical Institute
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-12524
• DOI: 10.1126/science.adg0934
• 发表日期: 2023-06-16
• 页码: 1145-+
• 关键词: stem-cells; drosophila; polyploidization; midgut; IMPACT

摘要

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.