Single-cell and spatially resolved analysis uncovers cell heterogeneity of breast cancer.

ABSTRACT: The heterogeneity and the complex cellular architecture have a crucial effect on breast cancer progression and response to treatment. However, deciphering the neoplastic subtypes and their spatial organization is still challenging. Here, we combine single-nucleus RNA sequencing (snRNA-seq) with a microarray-based spatial transcriptomics (ST) to identify cell populations and their spatial distribution in breast cancer tissues. Malignant cells are clustered into distinct subpopulations. These cell clusters not only have diverse features, origins and functions, but also emerge to the crosstalk within subtypes. Furthermore, we find that these subclusters are mapped in distinct tissue regions, where discrepant enrichment of stromal cell types are observed. We also inferred the abundance of thes

SUBMITTER: Liu SQ 

PROVIDER: S-EPMC8895670 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature