4.7 Article

Time Point-Based Integrative Analyses of Deep-Transcriptome Identify Four Signal Pathways in Blastemal Regeneration of Zebrafish Lower Jaw

Journal

STEM CELLS
Volume 33, Issue 3, Pages 806-818

Publisher

WILEY
DOI: 10.1002/stem.1899

Keywords

Zebrafish; Blastemal regeneration; foxi1; RNA-sequencing; Tissue engineering

Funding

  1. Shanghai Municipal Education Commission [13ZZ126]
  2. Shanghai Ocean University [A2302110002]
  3. Shanghai Universities First-class Disciplines Project of Fisheries

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There has been growing interest in applying tissue engineering to stem cell-based regeneration therapies. We have previously reported that zebrafish can faithfully regenerate complicated tissue structures through blastemal cell type conversions and tissue reorganization. To unveil the regenerative factors and engineering arts of blastemal regeneration, we conducted transcriptomal analyses at four time points corresponding to preamputation, re-epitheliation, blastemal formation, and respecification. By combining the hierarchical gene ontology term network, the DAVID annotation system, and Euclidean distance clustering, we identified four signaling pathways: foxi1-foxo1b-pou3f1, pax3a-mant3a-col11/col2, pou5f1-cdx4-kdrl, and isl1-wnt11 PCP-sox9a. Results from immunohistochemical staining and promoter-driven transgenic fish suggest that these pathways, respectively, define wound epidermis reconstitution, cell type conversions, blastemal angiogenesis/vasculogenesis, and cartilage matrix-orientation. Foxi1 morpholinoknockdown caused expansions of Foxo1b-and Pax3a-expression in the basal layer-blastemal junction region. Moreover, foxi1 morphants displayed increased sox9a and hoxa2b transcripts in the embryonic pharyngeal arches. Thus, a Foxi1 signal switch is required to establish correct tissue patterns, including re-epitheliation and blastema formation. This study provides novel insight into a blastema regeneration strategy devised by epithelial cell transdifferentiation, blood vessel engineering, and cartilage matrix deposition.

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