Construction of the axolotl cell landscape using combinatorial hybridization sequencing at single-cell resolution

Fang Ye, Guodong Zhang, Weigao E., Haide Chen, Chengxuan Yu, Lei Yang, Yuting Fu, Jiaqi Li, Sulei Fu, Zhongyi Sun, Lijiang Fei, Qile Guo, Jingjing Wang, Yanyu Xiao, Xinru Wang, Peijing Zhang, Lifeng Ma, Dapeng Ge, Suhong Xu, Juan Caballero-Pérez, Alfredo Cruz-Ramírez, Yincong Zhou, Ming Chen, Ji-Feng Fei (), Xiaoping Han () and Guoji Guo ()
Additional contact information
Fang Ye: Zhejiang University School of Medicine
Guodong Zhang: Zhejiang University School of Medicine
Weigao E.: Zhejiang University School of Medicine
Haide Chen: Zhejiang University School of Medicine
Chengxuan Yu: Zhejiang University School of Medicine
Lei Yang: Zhejiang University School of Medicine
Yuting Fu: Zhejiang University School of Medicine
Jiaqi Li: Zhejiang University School of Medicine
Sulei Fu: Guangdong Academy of Medical Sciences
Zhongyi Sun: Zhejiang University School of Medicine
Lijiang Fei: Zhejiang University School of Medicine
Qile Guo: Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Zhejiang University
Jingjing Wang: Zhejiang University School of Medicine
Yanyu Xiao: Zhejiang University School of Medicine
Xinru Wang: Zhejiang University School of Medicine
Peijing Zhang: Zhejiang University School of Medicine
Lifeng Ma: Zhejiang University School of Medicine
Dapeng Ge: Zhejiang University School of Medicine
Suhong Xu: Zhejiang University School of Medicine
Juan Caballero-Pérez: Cinvestav Unidad Irapuato
Alfredo Cruz-Ramírez: Cinvestav Unidad Irapuato
Yincong Zhou: Zhejiang University
Ming Chen: Zhejiang University
Ji-Feng Fei: Guangdong Academy of Medical Sciences
Xiaoping Han: Zhejiang University School of Medicine
Guoji Guo: Zhejiang University School of Medicine

Nature Communications, 2022, vol. 13, issue 1, 1-18

Abstract: Abstract 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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-31879-z Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31879-z

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-31879-z

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().