Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution

Author:

Lu Tzu-Chiao12ORCID,Brbić Maria3ORCID,Park Ye-Jin1245ORCID,Jackson Tyler126ORCID,Chen Jiaye127ORCID,Kolluru Sai Saroja8910ORCID,Qi Yanyan12,Katheder Nadja Sandra11ORCID,Cai Xiaoyu Tracy11,Lee Seungjae12ORCID,Chen Yen-Chung13ORCID,Auld Niccole126ORCID,Liang Chung-Yi1214ORCID,Ding Sophia H.12ORCID,Welsch Doug12ORCID,D’Souza Samuel10,Pisco Angela Oliveira10ORCID,Jones Robert C.8ORCID,Leskovec Jure15ORCID,Lai Eric C.12ORCID,Bellen Hugo J.245ORCID,Luo Liqun16ORCID,Jasper Heinrich11ORCID,Quake Stephen R.8910ORCID,Li Hongjie12ORCID

Affiliation:

1. Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA.

2. Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

3. School of Computer and Communication Sciences, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland.

4. Program in Development, Disease Models and Therapeutics, Baylor College of Medicine, Houston, TX 77030, USA.

5. Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 77030, USA.

6. Program in Cancer Cell Biology, Baylor College of Medicine, Houston, TX 77030, USA.

7. Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.

8. Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

9. Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.

10. Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.

11. Regenerative Medicine, Genentech, Inc., South San Francisco, CA 94080, USA.

12. Developmental Biology Program, Sloan Kettering Institute, New York, NY 10065, USA.

13. Department of Biology, New York University, New York, NY 10013, USA.

14. Institute of Biochemistry and Molecular Biology, National Yang Ming Chiao Tung University (NYCU), Taipei 112304, Taiwan.

15. Department of Computer Science, Stanford University, Stanford, CA 94305, USA.

16. Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3