Single-cell RNA sequencing of 803,283 cells from 55 human breast tissue donors contributing to the integrated Human Breast Cell Atlas (iHBCA) v1.0.
Metadata
Dataset Type
Single. The file includes a single dataset whereby “dataset” means a single library or a set of technical replicates that can be combined without having to worry about the associated batch effect.
This dataset generates a comprehensive Human Breast Cell Atlas (HBCA) using scRNA-seq of over 800,000 cells from 55 donors, identifying 41 cell subclusters across the epithelial (LASP, LHS, BMYO), immune (T cells, NK, B cells, macrophages), and stromal (fibroblast, endothelial, perivascular) compartments. To capture how key risk-modifying factors alter the homeostatic cellular composition of the breast, we assembled a cohort with broad donor diversity spanning a wide range of ages, parity statuses, and germline mutation backgrounds. By annotating at this resolution we could apply differential abundance testing to detect subcluster-level compositional shifts associated with each risk factor. This annotation set also serves as a standardised reference taxonomy, enabling harmonised cell-type comparisons across existing datasets where nomenclature had been inconsistent.
