Figure 5 | Scientific Reports

Figure 5

From: Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease

Figure 5

Single-cell mapping of spatial transcriptomic data enables identification of individual cell types in BA with advanced fibrosis tissue. (A) Proportion of each cell type in the snRNAseq sample and proportion of cells per spot of each cell type in the spatial sample. The distribution in both samples is similar, affirming that the proportion is taken into consideration during the single-cell spatial mapping process. (B) H&E stained tissue section after annotation by a pathologist, with red circles corresponding to central veins and blue circles to periportal regions. (C) Spatial visualization of single-cell clustering after single-cell spatial mapping overlayed on H&E stain. The regions with absent cells represent regions with no spatial spots as they were discarded due to poor quality during our quality control steps. (D) Overlay of single-cell clustering after single-cell spatial mapping visualized on H&E section for each cell type. CV central-venous hepatocytes, HSC hepatic stellate cells, IZ interzonal hepatocytes, LSEC liver sinusoidal endothelial cells, NK natural killer cells, PP periportal hepatocytes. All figures were created in R (version 4.2.2).

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