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. 2022 Nov 9;611(7936):540–547. doi: 10.1038/s41586-022-05385-7

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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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Extended Data Fig. 6 — a, Spatial expression of key marker genes for canonical neuronal subpopulations of the mouse lumbar spinal cord. b, Deconvolution of spatial barcodes using snRNA-seq data to establish a spatial atlas of neuronal subpopulations. Panels show the score assigned by robust cell type decomposition (RCTD) to each of the 36 neuronal subpopulations for each barcode in the spatial transcriptomics dataset. c, Mean RCTD scores assigned for each of the 36 neuronal subpopulations to barcodes within five regions of the spinal cord.