Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing
卵巢
生物
卵泡膜
卵母细胞
转录组
卵巢皮质
细胞生物学
基因
胚胎
遗传学
基因表达
卵巢组织
作者
Andrea Jones,D. Ford Hannum,Jordan H. Machlin,Ansen Q. Tan,Qianyi Ma,Nicole Ulrich,Yu-chi Shen,M.J. Ciarelli,Vasantha Padmanabhan,Erica E. Marsh,Saher Sue Hammoud,Jun Z. Li,Ariella Shikanov
出处
期刊:Science Advances [American Association for the Advancement of Science (AAAS)] 日期:2024-04-05卷期号:10 (14)被引量:11
The reproductive and endocrine functions of the ovary involve spatially defined interactions among specialized cell populations. Despite the ovary’s importance in fertility and endocrine health, functional attributes of ovarian cells are largely uncharacterized. Here, we profiled >18,000 genes in 257 regions from the ovaries of two premenopausal donors to examine the functional units in the ovary. We also generated single-cell RNA sequencing data for 21,198 cells from three additional donors and identified four major cell types and four immune cell subtypes. Custom selection of sampling areas revealed distinct gene activities for oocytes, theca, and granulosa cells. These data contributed panels of oocyte-, theca-, and granulosa-specific genes, thus expanding the knowledge of molecular programs driving follicle development. Serial samples around oocytes and across the cortex and medulla uncovered previously unappreciated variation of hormone and extracellular matrix remodeling activities. This combined spatial and single-cell atlas serves as a resource for future studies of rare cells and pathological states in the ovary.