scRNAseq data has been obtained from the indicated references (forebrain, midbrain, hindbrain: [34], spinal cord: [31], retina: [36]). For Figure 1 b, basic filtering of cells based on the number of detected genes per cell (> 600; < 6000) and the fraction of mitochondrial reads (< 6%) was performed using Seurat v4.1.1 [113]. Normalization of count data was performed using the default setting of Seurat’s ‘NormalizeData’ function. Subsetting was performed based on the cell type annotations provided with the datasets. The retina dataset was subset to cones, rods, photoreceptor precursors, amacrine cells, horizontal cells, retinal ganglion cells and bipolar cells. Forebrain, midbrain, hindbrain and spinal cord datasets were subset to neurons. Subsequently, for each gene and tissue normalized count levels were averaged per time point and divided by the maximum average level for that gene and tissue detected across all timepoints. Data was plotted in R using ggplot2.

© 2024 The Author(s). Published by Elsevier Ltd.