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    Hair follicles facilitate the study of stem cell behavior because stem cells in progressive activation stages, ordered within the follicle architecture, are capable of cyclic regeneration. To study the gene network governing the homeostasis of hair bulge stem cells, we developed a Keratin 15-driven genetic model to directly perturb molecular signaling in the stem cells. We visualize the behavior of these modified stem cells, evaluating their hair-regenerating ability and profile their molecular expression. Bone morphogenetic protein (BMP)-inactivated stem cells exhibit molecular profiles resembling those of hair germs, yet still possess multipotentiality in vivo. These cells also exhibit up-regulation of Wnt7a, Wnt7b, and Wnt16 ligands and Frizzled (Fzd) 10 receptor. We demonstrate direct transcriptional modulation of the Wnt7a promoter. These results highlight a previously unknown intra-stem cell antagonistic competition, between BMP and Wnt signaling, to balance stem cell activity. Reduced BMP signaling and increased Wnt signaling tilts each stem cell toward a hair germ fate and, vice versa, based on a continuous scale dependent on the ratio of BMP/Wnt activity. This work reveals one more hierarchical layer regulating stem cell homeostasis beneath the stem cell-dermal papilla-based epithelial-mesenchymal interaction layer and the hair follicle-intradermal adipocyte-based tissue interaction layer. Although hierarchical layers are all based on BMP/Wnt signaling, the multilayered control ensures that all information is taken into consideration and allows hair stem cells to sum up the total activators/inhibitors involved in making the decision of activation.

    Citation

    Eve Kandyba, Yvonne Leung, Yi-Bu Chen, Randall Widelitz, Cheng-Ming Chuong, Krzysztof Kobielak. Competitive balance of intrabulge BMP/Wnt signaling reveals a robust gene network ruling stem cell homeostasis and cyclic activation. Proceedings of the National Academy of Sciences of the United States of America. 2013 Jan 22;110(4):1351-6

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    PMID: 23292934

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