Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity.
Quy H NguyenNicholas PervolarakisKerrigan BlakeDennis MaRyan Tevia DavisNathan JamesAnh T PhungElizabeth WilleyRaj KumarEric JabartIan DriverJason RockAndrei GogaSeema A KhanDevon A LawsonZena WerbKai KessenbrockPublished in: Nature communications (2018)
Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we use single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produces one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides insights into the cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer.
Keyphrases
- single cell
- rna seq
- endothelial cells
- high throughput
- induced pluripotent stem cells
- pluripotent stem cells
- depressive symptoms
- gene expression
- signaling pathway
- induced apoptosis
- stem cells
- bone marrow
- dna methylation
- cell cycle arrest
- cancer therapy
- cell therapy
- endoplasmic reticulum stress
- pi k akt
- childhood cancer