Extended Data Fig. 1: Cell type annotation, and concordance of snRNA-seq and spatial transcriptomics data. | Nature Cardiovascular Research

Extended Data Fig. 1: Cell type annotation, and concordance of snRNA-seq and spatial transcriptomics data.

From: Ventricular assist device unloading reverses microvascular senescence in single ventricle disease

Extended Data Fig. 1: Cell type annotation, and concordance of snRNA-seq and spatial transcriptomics data.

A, Circulating brain natriuretic peptide (BNP) levels in three HLHS patients, comparing pre- and post-VAD time points. Each line represents an individual patient. B, Heatmap showing the fraction of cell clusters (rows) in the integrated snRNA-seq data predicted as specific cell types (columns) from a reference dataset. HCA: Human Cell Atlas. C, Heatmap of cell type signature gene expression (rows) in all cells, grouped by cell type (columns). A representative signature gene for each cell type is labeled on the left. Cardiomyocytes (CM), endothelial cells (EC), fibroblasts (FB), smooth muscle cells (SMC), pericytes (PC), lymphoid cells (Lym), myeloid cells (Mye), adipocytes (AC), and neuronal cells (NC). D, Principal component analysis of pseudobulk snRNA-seq data showing variance in principal components 1 and 2. Each data point represents an individual donor or HLHS patient, with shapes indicating sex and colors depicting age. E, Scatter plot comparing cell type proportions quantified from matched snRNA-seq (x-axis) and Xenium (y-axis) datasets from the same hearts (C1, H12, H15, H16, V4, and V5).

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