Fig. 4: KAT5 KO triggers gene expression changes in GSCs consistent with predicted quiescent states in patient-derived xenograft tumors.

a, b Projections of scRNA-seq data for GSC-0827 and GSC-464T tumor references, respectively. Data was visualized using uniform manifold approximation and projection (UMAP) for dimensional reduction of data and generation of de novo cell-based clusters (Becht et al. 2018). Overview of experiment, filter cutoffs, and QC analysis are available in Supplementary Fig. 7. Supporting data includes: top enriched genes for each cluster; gene expression modules; and individual and gene set expression profiles (Supplementary Data 7-10; Supplementary Figs. 8–11). c–f Cells from scRNA-seq analysis performed on GSC-0827 and GSC-464T CD8 and KAT5 KO cells. The tumor references from (a, b) were used for mapping cells from scRNA-seq analysis performed on GSC-0827 and GSC-464T CD8 and KAT5 KO cells passed quality control metrics. g, h Cell cycle predictions using ccAFv2 computational classifier for (a, b), respectively. i, j Cyclin B1 gene expression for each predicted phase of the cell cycle from (g, h), respectively. k, l Relative proportions of mapped single cells appearing in clusters from (c–f) for GSC−0827 and GSC-464T cells, respectively.