Extended Data Fig. 4: Single-cell mapping of mouse cerebellar development.
From: Resolving medulloblastoma cellular architecture by single-cell genomics
a–c, Two-dimensional representation of the cerebellar (CB) scRNA-seq dataset by t-SNE. Each dot represents one cell. In a, colours represent 13 different embryonic and early postnatal time points. In b, colours indicate the differentiation score across the entire dataset. In c, colours indicate cell types identified by Louvain clustering using the top 3,000 overdispersed genes. The main CB lineages were assigned on the basis of published lineage markers. d, Annotation of 18 CB cell types based on the expression of lineage specific marker genes shown as violin plot. Violin plots represent kernel density estimation showing the distribution shape of the data. e, Lineage tree reconstruction using partition-based graph abstraction. The abstracted graph shows all cell types (nodes) as identified in c and d. The size of the nodes is related to the number of cells in the defined cell type. The width of edges connecting cell types reflects the probability of the path. f, Radar plot showing CCA coefficients between each mouse CB cell type and human MB subgroup scRNA-seq.
