Extended Data Fig. 8: Pseudotime differential trajectory analysis of RG-like NSCs, tanycytes and neurons from the Ins2-Cre;Ai14 tdTomato⁺ scRNA-Seq dataset.

a, Integrated diffusion map of RG-like NSCs, tanycytes and neurons from the Ins2-Cre;Ai14 tdTomato dataset reveals a single linear differentiation trajectory (Left). A line with arrow indicates pseudotime trajectory inferred by the Slingshot method. Cells are color-coded for defined pseudotime score. Expression profiles of genes for stemness (Sox2), enriched in radial glia-like NSCs (Hes5) and neurons (Tubb3) in pseudo-trajectory (Right). Cells are color-coded according to expression level. Termination with higher Sox2/Hes5 expression was chosen as the root. b, Pseudotime trajectory analysis performed using minimum-spanning tree (MST) shows a similar trajectory to the Slingshot method. c, Integrated diffusion map of RG-like NSCs, tanycytes and orexigenic (Agrp⁺/Npy⁺)/anorexigenic (Pomc⁺/Cartpt⁺) neurons from postnatal Ins2-Cre;Ai14 tdTomato⁺ scRNA-seq dataset reveals a single linear differentiation trajectory (Left). A line with arrow indicates pseudotime trajectory defined by Slingshot. Cells are color-coded for defined pseudotime score. Expression profiles of genes for stemness (Sox2), enriched in radial glia-like NSCs (Hes5) and orexigenic/anorexigenic neurons (Agrp and Npy for orexigenic neurons; Pomc and Cartpt for anorexigenic neurons) in pseudo-trajectory (Right). Cells are color-coded according to expression level. Termination with higher Sox2 expression was chosen as the root.