bioRxivDevelopmental BiologyPreprint
Defining epithelial stem cell heterogeneity through undulating structures of the skin and oral mucosa
Mizuho IshikawaiD, Yen Xuan NgoiD, Ikuto NishikawaiD, Hiroko KatoiD, Ryo Maeda, Ryosuke Mizuno, Jun MizunoiD, Kenji IzumiiD, Hiromi YanagisawaiD, Aiko SadaiD
Abstract
Epithelial stem cells exhibit heterogeneity, with distinct stem cell populations occupying specific tissue regions. The human skin displays a characteristic undulating structure at the epidermal-dermal junction, which supports mechanical strength and influences the spatial organization of epithelial stem cells. Unlike human skin, mouse skin lacks these undulations, complicating studies into the effects of tissue architecture on stem cell distribution. Here, we leverage the mouse oral mucosa, which possesses an undulating structure similar to human skin, to characterize stem cell division dynamics and long-term fate in vivo. Using a combination of H2B-GFP pulse-chase analysis and lineage tracing with Dlx1-CreER and Slc1a3-CreER models, we demonstrate that slow-and fast-cycling stem cells localize to distinct anatomical regions relative to the undulating structure and maintain their respective compartments during tissue homeostasis. A three-dimensional culture model using micropatterned collagen scaffolds that recapitulate the undulating structures in vitro reveals that the mechanical environment generated by the undulating structures partially induces proliferative heterogeneity in epithelial stem cells. This study proposes tissue undulating surface structure as a common principle as a niche component that defines the localization of compartmentalized stem cell populations across different epithelial tissues. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=123 SRC="FIGDIR/small/634195v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@b3046aorg.highwire.dtl.DTLVardef@e6cd8forg.highwire.dtl.DTLVardef@c169ccorg.highwire.dtl.DTLVardef@8f772_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 2
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