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. 2022 Sep 22;41(2):222–231. doi: 10.1038/s41587-022-01455-3

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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. 5 — a, Raw RNA signals for selected markers to highlight various anatomical structures. From left to right: markers for striatum (Adora2a), hypothalamus (Gpx3) and thalamus (Rgs16); Mfge8 labels telencephalic astrocytes, whereas Agt labels nontelencephalic astrocytes; markers for meninges (Dcn, Slc6a13), ependymal (Foxj1) and choroid plexus epithelium (Otx2); layers of the cortex; hippocampal CA1 (Fibcd1), CA3 (Lpl) and dentate gyrus (Npnt); cerebellar Bergman glia cell body (Gdf10), processes (Fam107a) and granule cells (Calb2). b, Probabilities of neurotransmitter location by imputing single-cell RNA-seq data with the spatial mouse atlas show neurotransmitter domains. Intensity reflects the probability of neurotransmitter identity, and colors are proportionally mixed where neurotransmitters overlap.