Extended Data Fig. 6: Development of a spinal projecting neuron taxonomy.

a, Workflow diagram of QC filtering of snRNA-seq datasets. Nuclei that passed standard QC metrics were assessed for putative first- and second-order labeling. Putative second-order nuclei were removed, and first-order nuclei underwent multi-level iterative clustering. b, UMAPs at three levels of the taxonomy from iterative analysis. Example shows iterative clustering of the Modulatory Division into 5 Subclasses to yield 4 final HY Vgll2 Types. c, Dendrogram of SPN taxonomy as in Fig. 1, showing additional metadata. The colour blocks shading the taxonomy tree indicate division. The nodes at the end of the dendrogram indicate ‘type’, with type number labels and names on the far right. From left to right, the bar plots represent fractions of nuclei profiled with 10x and SSv4 platforms and replicate contribution to each type. Violin plots show gene counts in SSv4 and 10x data, and UMI count in 10x data. The centre line of the box and whisker plot depicts the median value (50^th percentile) while the box contains the 25^th to 75^th percentiles; the whiskers correspond to the 5^th and 95^th percentiles. The number of nuclei (n nuclei) profiled per type is labelled. QC, quality control; Tech, technology; Rep, replicate; UMI, Unique molecular identifier.