학술논문

Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity.
Document Type
article
Source
Nature communications. 9(1)
Subject
Breast
Epithelial Cells
Humans
Breast Neoplasms
Cell Transformation
Neoplastic
Cluster Analysis
Gene Expression Profiling
Sequence Analysis
RNA
Cell Differentiation
Cell Lineage
Adult
Female
Single-Cell Analysis
Transcriptome
Biomarkers
Tumor
Cell Transformation
Neoplastic
Sequence Analysis
RNA
Biomarkers
Tumor
Stem Cell Research
Genetics
Human Genome
Cancer
Breast Cancer
1.1 Normal biological development and functioning
2.1 Biological and endogenous factors
Language
Abstract
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.