This repository includes the codes used for the analysis of the postnatal hypothalamus of CRH-IRES-Cre mice that were sequenced using single nuclei RNA sequencing (snRNA-seq), by employing a retrograde nuConnect-seq approach. We investigate the properties of the hypothalamus neural stem cells and offers an integrated reference dataset for validation. We further uploaded the processed files at figshare "https://doi.org/10.6084/m9.figshare.21981251.v1".
Highlights: The integrated reference dataset comprises 152,524-QC passed cells from postnatal hypothalamic regions and the adjacent BNST. Identification of 36 unique hypothalamic neuronal and non-neuronal cell populations. Then we analyse our comprehensive snRNA-seq dataset derived from the postnatal hypothalamus of CRH-Cre mice using retrograde nuConnect-seq approach. Technical validation of the nuConnect-seq dataset by our large scale integrated dataset. Harmonized cell-level metadata, offering insights into cell type-specific gene expression. publication: Junaid, M., Choe, H.K., Kondoh, K. et al. Unveiling Hypothalamic Molecular Signatures via Retrograde Viral Tracing and Single-Cell Transcriptomics. Sci Data 10, 861 (2023). https://doi.org/10.1038/s41597-023-02789-6
Objective: The primary goal of this repository is to provide a robust resource for researchers investigating the gene expression patterns specific to cell types and pathways of cellular differentiation in the postnatal mouse hypothalamus. Furthermore, it offers a validation platform for the nuConnect-seq dataset.