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. 2022 Feb 17;13:958. doi: 10.1038/s41467-022-28636-7

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© The Author(s) 2022

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. 6 — a, b Unsupervised clustering analysis of the single-cell transcriptomes of Slc18a3⁺ from E12.5 Kdm6b-cKO spinal cord (Kdm6b^f/f; Olig2-Cre;mTmG). 10 knockout clusters (KC), KC0 to KC9, were visualized using tSNE. Cell types were assigned according to the expression of specific marker genes. Each dot represents a single cell and was color-coded based on the cluster identity. c–i tSNE plots to show the expression of the indicated genes in each plot. The expression levels of the genes were indicated by blue color intensity. j-l Violin plots for selected marker genes in KC0-KC9.