Figure 2.

Single-nucleus RNA-sequencing (snRNA-seq) has improved capture efficiencies for neuronal cell types. A, Uniform Manifold Approximation and Projection (UMAP) embedding of single-cell RNA-sequencing (scRNA-seq) and snRNA-seq profiles showing profiles of the combined data set (left) scRNA-seq (middle), and snRNA-seq (right), colored by the assigned cell type signatures. B, Heatmap of area under the receiver operating characteristics (AUROC) scores of the combined data set between all retinal cell types based on highly variable genes. All replicating cell types cluster together after applying hierarchical clustering. C, Bar plots of cell type proportions from each sequencing modality. RGC = retinal ganglion cell.