An integrated single-cell transcriptome landscape of postnatal mouse hypothalamus
Junaid, M.; Choe, H. K.; Kondoh, K.; Lee, E. J.; Lim, S. B.
Show abstract
The neural stem cells (NSCs) in the hypothalamus are relatively more narrowly defined than in other neurogenic regions of the postnatal brain. By leveraging single-cell RNA sequencing (scRNA-seq) data, we generated an integrated reference dataset comprising 296,282 cells from postnatal hypothalamic regions and the adjacent region, bed nucleus of the stria terminalis (BNST), and identified 30 hypothalamic neuronal and non-neuronal cell populations. The analyses of their gene expression pattern, and specific differentiation trajectories reveal the presence of NSCs and intermediate progenitor cells (IPCs) that show a continuum of activation and differentiation processes in the hypothalamus after birth. Through comparative analyses of the integrated dataset with our lab-generated Connect-seq data obtained from the whole hypothalamus, we further assessed the technical validity of the dataset presented in this study. Our large-scale unified scRNA-seq dataset with harmonized cell-level metadata can serve as a valuable resource for investigating cell type-specific gene expression and cellular differentiation trajectories in the postnatal mouse hypothalamus.
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