Fig. 10

Basic workflow schematic. Single Cell Expression Matrices were acquired through publicly available depositories. Data were processed according to the author’s original specifications and all genes were required to be expressed in 20 or more cells. Cell population identities were acquired from the author’s original clustering. Positive differential gene expression was calculated via Wilcoxon Rank-Sum Test. Upregulated genes were considered as those with q ≤ 0.05 and a Log2FC ≥ 1 for analysis levels 1 and 2, while this criterion was relaxed to Log2FC > 0 for level 3. Our imprinted gene list was used to filter upregulated genes and two different enrichment analyses were carried out, over-representation analysis via Fisher’s Exact Test and Gene Set Enrichment Analysis via Liger algorithm (Subramanian, Tamayo [71], https://github.com/JEFworks/liger). Venn diagrams and dot plots were utilised for visualisation