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Construction of a cross-species cell landscape at single-cell level

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modified on 2022-08-05, 08:55

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 (http://bis.zju.edu.cn/cellatlas/). 


This work was supported by the National Natural Science Foundation of China (grants 31922049, 31930028, 32000461) and the National Key Research and Development Program (grants 2018YFA0800503). We thank Annoroad for supporting this project; Vazyme for supplying the customized enzymes in the study; the core facility plat form of Zhejiang University School of Medicine, Zhejiang University Medical Center and Liangzhu Laboratory for their technical support; the Center of Cryo-Electron Microscope (CCEM) at Zhejiang University for computational support.