1. Aging Fly Cell Atlas Identifies Exhaustive Aging Features at Cellular Resolution
- Author
-
Tzu-Chiao Lu, Maria Brbić, Ye-Jin Park, Tyler Jackson, Jiaye Chen, Sai Saroja Kolluru, Yanyan Qi, Nadja Sandra Katheder, Xiaoyu Tracy Cai, Seungjae Lee, Yen- Chung Chen, Niccole Auld, Chung-Yi Liang, Sophia H. Ding, Doug Welsch, Samuel D’Souza, Angela Oliveira Pisco, Robert C. Jones, Jure Leskovec, Eric C. Lai, Hugo J. Bellen, Liqun Luo, Heinrich Jasper, Stephen R. Quake, and Hongjie Li
- 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 agingDrosophila. We characterize 163 distinct cell types and perform an in-depth analysis of changes in tissue cell composition, gene expression, and cell identities. We further develop aging clock models to predict the fly age and show that ribosomal gene expression is a conserved predictive factor for age. Combining all aging features, we find unique cell type-specific aging patterns. This atlas provides a valuable resource for studying fundamental principles of aging in complex organisms.
- Published
- 2022
- Full Text
- View/download PDF