Fig. 7: Single-cell transcriptomes provide insights into functional specializations of CN cell types.
From: Molecular logic for cellular specializations that initiate the auditory parallel processing pathways
a Dot plots showing scaled expression of the genes encoding ion channels across CN cell type (from snRNA-seq dataset). Sodium and potassium channel subtypes or subunits with low expression levels (<20% fraction of the cell in any cell type) were excluded in the figure. Circle size depicts the percentage of cells in the cluster in which the marker was detected (≥1 UMI), and color depicts the normalized average transcript count in expressing cells. b Sparse reduced-rank regression (RRR) model to predict electrophysiological features by the expression patterns of 119 ion channel genes (middle, cross-validated R2 = 0.35). The models selected 25 genes. Cross-validated correlations between the first three pairs of projections were 0.83, 0.65, and 0.61. Both transcriptome (left) and electrophysiology (Right) were embedded in the latent space (bibiplots). In each biplot, lines represent correlations between a feature (gene expression or electrophysiology) and two latent components; the circle corresponds to the maximum attainable correlation (r = 1). Only features with a correlation above 0.4 are shown. Source data are provided in the Source Data file. c Dot plots showing scaled expression of genes encoding ionotropic glutamate receptors in each CN cell type. AMPARs AMPA receptors, NMDARs NMDA receptors, KARs Kainate receptors, GluDRs delta glutamate receptors. See Fig. S12 for additional information.
