Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

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

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 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/.

PMC Copyright notice

Extended Data Fig. 2 — a, UMAP projection of neocortex, allocortex and proneocortex cells alone, using cell type annotations from the previous analysis. Left UMAP plot shows integration of neocortex and allocortex cells (green and salmon, respectively), but exclusion of proneocortex cells (blue). In the middle UMAP plot, cells are colored by individual. Right UMAP plot shows the distribution and strong segregation by cell type. b, Marker genes (columns) specific to distinct cortical regions by cell type. Rows and columns are hierarchically clustered columns using one minus Pearson correlation for the distance metric. Heatmap reflects strong regional transcriptional identities, even among these 3 cortical structures. Additionally, it highlights expression signatures that cross cell type boundaries. c, Marker genes (columns) specific to distinct cortical regions analyzed in progenitors only. Rows and columns are hierarchically clustered columns using one minus Pearson correlation for the distance metric. d, Marker genes (columns) specific to distinct cortical regions analyzed in excitatory neurons only. Rows and columns are hierarchically clustered columns using one minus Pearson correlation for the distance metric. e, Marker genes (columns) specific to distinct cortical regions analyzed in mature glia only. Rows and columns are hierarchically clustered columns using one minus Pearson correlation for the distance metric.