Spatial single-cell atlas reveals regional variations in healthy and diseased human lung.

ABSTRACT: Integration of scRNA-seq data from millions of cells revealed a high diversity of cell types in the healthy and diseased human lung. In a large and complex organ, constantly exposed to external agents, it is crucial to understand the influence of lung tissue topography or external factors on gene expression variability within cell types. Here, we apply three spatial transcriptomics approaches, to: (i) localize the majority of lung cell types, including rare epithelial cells within the tissue topography, (ii) describe consistent anatomical and regional gene expression variability within and across cell types, and (iii) reveal distinct cellular neighborhoods in specific anatomical regions and examine gene expression variations in them. We thus provide a spatially resolved tissue reference at

SUBMITTER: Firsova AB 

PROVIDER: S-EPMC12589588 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature