Spatiotemporal transcriptomic atlas reveals the dynamic characteristics and key regulators of planarian regeneration

Guanshen Cui, Kangning Dong, Jia-Yi Zhou (), Shang Li, Ying Wu, Qinghua Han, Bofei Yao, Qunlun Shen, Yong-Liang Zhao, Ying Yang, Jun Cai (), Shihua Zhang () and Yun-Gui Yang ()
Additional contact information
Guanshen Cui: Chinese Academy of Sciences
Kangning Dong: Chinese Academy of Sciences
Jia-Yi Zhou: Chinese Academy of Sciences
Shang Li: Chinese Academy of Sciences
Ying Wu: Chinese Academy of Sciences
Qinghua Han: Chinese Academy of Sciences
Bofei Yao: Chinese Academy of Sciences
Qunlun Shen: Chinese Academy of Sciences
Yong-Liang Zhao: Chinese Academy of Sciences
Ying Yang: Chinese Academy of Sciences
Jun Cai: Chinese Academy of Sciences
Shihua Zhang: Chinese Academy of Sciences
Yun-Gui Yang: Chinese Academy of Sciences

Nature Communications, 2023, vol. 14, issue 1, 1-16

Abstract: Abstract Whole-body regeneration of planarians is a natural wonder but how it occurs remains elusive. It requires coordinated responses from each cell in the remaining tissue with spatial awareness to regenerate new cells and missing body parts. While previous studies identified new genes essential to regeneration, a more efficient screening approach that can identify regeneration-associated genes in the spatial context is needed. Here, we present a comprehensive three-dimensional spatiotemporal transcriptomic landscape of planarian regeneration. We describe a pluripotent neoblast subtype, and show that depletion of its marker gene makes planarians more susceptible to sub-lethal radiation. Furthermore, we identified spatial gene expression modules essential for tissue development. Functional analysis of hub genes in spatial modules, such as plk1, shows their important roles in regeneration. Our three-dimensional transcriptomic atlas provides a powerful tool for deciphering regeneration and identifying homeostasis-related genes, and provides a publicly available online spatiotemporal analysis resource for planarian regeneration research.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-39016-0 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:14:y:2023:i:1:d:10.1038_s41467-023-39016-0

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

DOI: 10.1038/s41467-023-39016-0

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 ().