Fig. 2: Deep proteome coverage enables spatial analysis of human liver zonation. | Nature Metabolism

Fig. 2: Deep proteome coverage enables spatial analysis of human liver zonation.

From: Single-cell spatial proteomics maps human liver zonation patterns and their vulnerability to disruption in tissue architecture

Fig. 2

a, Number of proteins identified per hepatocyte shape after quality filtering (n = 649, N = 18). The dotted line indicates the median depth across all included samples at 2,539 proteins. b, PCA of single-cell proteomes after outlier removal from healthy liver tissue. Each dot represents a single hepatocyte shape, with its colour indicating spatial ratio S (n = 413, N = 14). c, Protein expression heatmap (Z-scored) from healthy individuals across 20 equal-width spatial bins from central (spatial ratio S = 0) to portal (spatial ratio S = 1). Proteins are ordered by expression differences from portal (top) to central vein (bottom). The top ten proteins in each direction are labelled. Unless otherwise stated, only proteins detected in 70% of samples are included (n = 1,741, N = 14). PC1, principal component 1; PC2, principal component 2.

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