研究人员提出了衰老果蝇细胞图谱，这是整个衰老果蝇的单核转录组图。研究人员描述了163种不同的细胞类型，并对组织细胞组成、基因表达和细胞身份的变化进行了深入分析。研究人员进一步开发了衰老时钟模型来预测果蝇的年龄，并表明核糖体基因的表达是一个保守的年龄预测因素。结合所有的衰老特征，研究人员发现独特的细胞类型特异性衰老模式。这个图谱为研究复杂生物体内衰老的基本原理提供了一个宝贵的资源。
据了解，衰老的特点是组织功能的下降，但整个生物体内细胞分辨率的基本变化仍不清楚。
附：英文原文
Title: Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution
Author: Tzu-Chiao Lu, Maria Brbi, 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, Hongjie Li
Issue&Volume: 2023-06-16
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.
DOI: adg0934
Source: https://www.science.org/doi/10.1126/science.adg0934