| Autor: |
Ye, Fang, Zhang, Guodong, E., Weigao, Chen, Haide, Yu, Chengxuan, Yang, Lei, Fu, Yuting, Li, Jiaqi, Fu, Sulei, Sun, Zhongyi, Fei, Lijiang, Guo, Qile, Wang, Jingjing, Xiao, Yanyu, Wang, Xinru, Zhang, Peijing, Ma, Lifeng, Ge, Dapeng, Xu, Suhong, Caballero-Pérez, Juan |
| Předmět: |
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| Zdroj: |
Nature Communications; 7/22/2022, Vol. 13 Issue 1, p1-18, 18p |
| Abstrakt: |
The Mexican axolotl (Ambystoma mexicanum) is a well-established tetrapod model for regeneration and developmental studies. Remarkably, neotenic axolotls may undergo metamorphosis, a process that triggers many dramatic changes in diverse organs, accompanied by gradually decline of their regeneration capacity and lifespan. However, the molecular regulation and cellular changes in neotenic and metamorphosed axolotls are still poorly investigated. Here, we develop a single-cell sequencing method based on combinatorial hybridization to generate a tissue-based transcriptomic landscape of the neotenic and metamorphosed axolotls. We perform gene expression profiling of over 1 million single cells across 19 tissues to construct the first adult axolotl cell landscape. Comparison of single-cell transcriptomes between the tissues of neotenic and metamorphosed axolotls reveal the heterogeneity of non-immune parenchymal cells in different tissues and established their regulatory network. Furthermore, we describe dynamic gene expression patterns during limb development in neotenic axolotls. This system-level single-cell analysis of molecular characteristics in neotenic and metamorphosed axolotls, serves as a resource to explore the molecular identity of the axolotl and facilitates better understanding of metamorphosis. The Mexican axolotl is a well-established tetrapod model for regeneration and development. Here the authors report a scRNA-seq method to profile neotenic, metamorphic and limb development stages, highlighting unique perturbation patterns of cell type-related gene expression throughout metamorphosis. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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Full text from SpringerLink