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- Title
Single-cell RNA sequencing of freshly isolated bovine milk cells and cultured primary mammary epithelial cells.
- Authors
Becker, Doreen; Weikard, Rosemarie; Hadlich, Frieder; Kühn, Christa
- Abstract
Bovine mammary function at molecular level is often studied using mammary tissue or primary bovine mammary epithelial cells (pbMECs). However, bulk tissue and primary cells are heterogeneous with respect to cell populations, adding further transcriptional variation in addition to genetic background. Thus, understanding of the variation in gene expression profiles of cell populations and their effect on function are limited. To investigate the mononuclear cell composition in bovine milk, we analyzed a single-cell suspension from a milk sample. Additionally, we harvested cultured pbMECs to characterize gene expression in a homogeneous cell population. Using the Drop-seq technology, we generated single-cell RNA datasets of somatic milk cells and pbMECs. The final datasets after quality control filtering contained 7,119 and 10,549 cells, respectively. The pbMECs formed 14 indefinite clusters displaying intrapopulation heterogeneity, whereas the milk cells formed 14 more distinct clusters. Our datasets constitute a molecular cell atlas that provides a basis for future studies of milk cell composition and gene expression, and could serve as reference datasets for milk cell analysis. Measurement(s) single-cell gene expression analysis Technology Type(s) 10 × 3′ v3 • RNA sequencing Sample Characteristic - Organism Bos taurus Sample Characteristic - Environment mammary gland fluid/secretion • epithelium of mammary gland Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14611878
- Subjects
RNA sequencing; EPITHELIAL cells; GENE expression; MAMMARY glands; CELL populations
- Publication
Scientific Data, 2021, Vol 8, Issue 1, p1
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-021-00972-1