Code used in Construction of a cross-species cell landscape at single-cell level.
We applied scRNA-seq to map organism-level cell landscapes at multiple life stages for mice, zebrafish, and Drosophila. By integrating the comprehensive dataset of more than 2.6 million single cells, we constructed a cross-species cell landscape and identified signatures and common pathways that changed throughout the lifespan. We identified structural inflammation and mitochondrial dysfunction as the most common hallmarks of organism ageing, and found that pharmacological activation of mitochondrial metabolism alleviated ageing phenotypes in mice. Meanwhile, the cross-species cell landscape with other published data sets were stored in an integrated online portal Cell Landscape.
DGE Data: GSE198832
RData and cell information: https://figshare.com/s/1ab3c6d7648d12247eb2
Cell Landscape: http://bis.zju.edu.cn/cellatlas/
MCDAA: http://bis.zju.edu.cn/MCA/
ZCDL: http://bis.zju.edu.cn/ZCL/
DCL: http://bis.zju.edu.cn/DCL/
Please cite the corresponding protocol published concurrently to this repository:
Renying Wang, Peijing Zhang, Jingjing Wang, Lifeng Ma, Weigao E, Shengbao Suo, Mengmeng Jiang, Jiaqi Li, Haide Chen, Huiyu Sun, Lijiang Fei, Ziming Zhou, Yincong Zhou, Yao Chen, Weiqi Zhang, Xinru Wang, Yuqing Mei, Zhongyi Sun, Chengxuan Yu, Jikai Shao, Yuting Fu, Yanyu Xiao, Fang Ye, Xing Fang, Hanyu Wu, Qile Guo, Xiunan Fang, Xia Li, Xianzhi Gao, Dan Wang, Peng-Fei Xu, Rui Zeng, Gang Xu, Lijun Zhu, Lie Wang, Jing Qu, Dan Zhang, Hongwei Ouyang, He Huang, Ming Chen, Shyh-Chang NG, Guang-Hui Liu, Guo-Cheng Yuan, Guoji Guo and Xiaoping Han. Constrction of a cross-species cell landscape at single-cell level. Nucleic Acids Research, 2022. https://doi.org/10.1093/nar/gkac633