five

Canonical and early lineage-specific stem cell types identified in planarian SirNeoblasts

收藏
干细胞与再生医学数据中心2022-02-20 更新2024-03-06 收录
下载链接:
http://data.iscr.ac.cn/Article?id=545d025050e0474c39af251f1844e163
下载链接
链接失效反馈
官方服务:
资源简介:
The pluripotent stem cells in planarians, a model for tissue and cellular regeneration, have yet to be definitively identified. We recently developed a method to enrich piwi-1+ cells in Schmidtea mediterranea, by staining cells with SiR-DNA and Cell Tracker Green, named SirNeoblasts that permits their propagation and subsequent functional study in vivo. Since traditional enrichment for planarian neoblasts by Hoechst 33342 staining, to generate X1 cells, blocks the cell cycle, inducing cytotoxicity, this method represents a substantive technological advance for functional investigation of cell fate and regeneration in basic and applied research questions. However, the similarities in heterogeneity of cell subtypes between SirNeoblasts and X1 remain unknown. In this work, we performed single cell RNA sequencing for SirNeoblasts for comparison with differential expression patterns in a publicly available X1 single cell RNA sequencing data. We found first that all of the lineage-specific progenitor cells in X1 were present in comparable proportions in SirNeoblasts. In addition, SirNeoblasts contain an early muscle progenitor unreported in X1. Analysis of new markers for putative pluripotent stem cells identified here, with subsequent sub-clustering analysis revealed earlier lineages of epidermal, muscular, intestinal, and pharyngeal progenitors than have been observed in X1. Using the ski-3 and GCM markers, we also identified a pluripotent cell population at higher resolution than that provided by tgs-1. The use of SirNeoblast will enable broad experimental advances in regeneration and cell fate specification, given the possibility for propagation and transplantation of recombinant and mutagenized pluripotent stem cells not previously afforded to this rapid and versatile model system.
提供机构:
Westlake University
创建时间:
2022-02-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作