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. 2021 Mar 8;12:1510. doi: 10.1038/s41467-021-21725-z

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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. 1 — a A schematic view of the workflow. b UMAP plots showing (left) the contribution of individual animals (N = 3) to STRT-2i-seq clusters and (right) final cluster numbers (m = male, f = female). c Violin plots showing total counts of unique transcripts, detected genes, and transcript counts for neuronal and satellite-glia marker genes in the neuronal clusters. Y-axes show detected genes per cell for nFeature_RNA; all others are raw UMI counts. Boxplot defines the median, interquartile range (IQR), and 1.5 × IQR (whiskers). d A hierarchically organized heatmap with the five most specific genes (by p-adj) for each cluster. e UMAPs showing mouse canonical marker gene expression in the STRT-2i-seq macaque clusters. f STRT-2i-seq macaque clusters named after most likely mouse counterparts. g Named Smart-seq2 clusters after label transfer from the STRT-2i-seq data. Image sources: freevectors.net (human silhouette), needpix.com (microwell plates), openclipart.org (Eppendorf tube).