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. 2021 Oct 6;598(7879):200–204. doi: 10.1038/s41586-021-03910-8

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — a, Single cells from the neocortex represented in UMAP space. Cells in the far left UMAP plot are colour-coded by cell type or state annotation. Feature plots on the right depict the expression pattern of major cell population markers (SOX2, radial glia; EOMES, IPC; MKI67, dividing cells; HOPX, outer radial glia; PDGFRA, OPC/oligodendrocyte; AQP4, astrocytes; BCL11B, deep layer excitatory neurons; SATB2, superficial layer excitatory neurons; NEUROD6, broad excitatory neurons; DLX6-AS1, inhibitory neurons). b, Hierarchical clustering of 138 neocortical clusters on the basis of the Pearson correlations of cluster marker expression profiles across all neocortical stages sampled. Branches are colour-coded by the major cell type assigned to each cluster group. Histograms below show the fraction of cells from each area contributing to a cluster. Bottom bar chart shows the relative number of cells (log₂-transformed, range 0 to 20) in each cluster.