Single-cell-scale spatial transcriptome of the developing and adult mouse ovary
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Mammalian ovary development is essential for female fertility, involving the complex spatial patterning of diverse cell types to establish the finite reserve of ovarian follicles. While single-cell transcriptome analyses have provided important insights into the mechanisms driving specification and developmental trajectories of ovarian cells, they disrupt this crucial spatial context. To overcome this limitation, we used 10X Genomics Visium HD spatial transcriptomics to analyze the developing mouse ovary while maintaining its native cellular architecture. We captured all ovarian cell types at eight key fetal and postnatal timepoints, generating a near single cell resolution library of spatial gene expression across ovarian development. This comprehensive dataset allows analysis of dynamic transcriptional signatures associated with unique spatial patterning throughout development, including the establishment of cortex and medulla and assembly of ovarian follicles in each region. This dataset represents a fundamental resource for the investigation of regulatory mechanisms driving spatial patterning of the ovary and opens new avenues to explore the spatial determinants of female fertility and reproductive longevity.
Short narrative
This report describes a near-single-cell map of spatially resolved gene expression in the developing mouse ovary using 10X Genomics Visium HD, preserving the crucial cellular architecture that is lost in traditional single-cell analyses. This comprehensive dataset, covering eight key developmental timepoints, provides a fundamental resource for investigating how spatial patterning regulates critical ovarian events like follicle assembly.
