Extended Data Fig. 8: Description of the PFC-SS-T model.
a-b) PCA embeddings of metacells of the three cell populations extracted from prefrontal cortex (PFC), somatosensory cortex (SS) and temporal cortex (Temp) of the human fetal brain37 (a) or from distinct segments of organoids (b) showing segregation of domain-associated identities along the PC1. PCA was computed on highly variable genes. PCA data are oriented to have prefrontal (a) or proximal (b) embeddings on the negative loading side (left side) of PC1. Each dot is a metacell calculated from cycling progenitors (left panels), progenitors (middle panels) and excitatory neurons (right panels). c) Number of coherent genes between fetal and organoid populations among the top 50 negative and positive PC1 loadings, where PFC or proximal metacells, and Temp or medial-distal metacells are located respectively. Data are shown per individual population. d) Genes following P low < M < D high trend (top) or P high > M > D low trend (bottom) for each cell type. Empty dot: no trend, Filled dot: expected trend. In bold, genes with a similar trend in all three cell types.
