Aging Fly Cell Atlas Identifies Exhaustive Aging Features at Cellular Resolution

Tzu-Chiao Lu and Maria Brbi and Ye-Jin Park and Tyler Jackson and Jiaye Chen and Sai Saroja Kolluru and Yanyan Qi and Nadja Sandra Katheder and Xiaoyu Tracy Cai and Seungjae Lee and Yen-Chung Chen and Niccole Auld and Doug Welsch and Samuel DSouza and Angela Oliveira Pisco and Robert C. Jones and Jure Leskovec and Eric C. Lai and Hugo J. Bellen and Liqun Luo and Heinrich Jasper and Stephen R. Quake and Hongjie Li, Samuel D'Souza
July, 2013
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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 (AFCA), a single-nucleus transcriptomic map of the whole aging Drosophila. We characterize 162 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.

Type
Conference paper
Publication
Aging Fly Cell Atlas Identifies Exhaustive Aging Features at Cellular Resolution
Samuel D'Souza
Samuel D'Souza
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Bioinformatics Software Engineer