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. 2024 Nov 18;2:88. doi: 10.1038/s44276-024-00112-3

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 1 — a Study design schema. Uniform manifold approximation and projection (UMAP) colored according to samples (b) or clusters (c). d Consensus cell type annotation table for each cluster. Hierarchical clustering was performed using gene expression values of the top 50 cluster-specific genes. e UMAP overlay of selected cell type markers. f Heatmap showing the top 50 cluster-specific genes. Annotations (right) indicate the most significant cell types predicted via gene enrichment analysis using cell type gene databases: PanglaoDB (black) and Tabula Sapiens (red). g UMAP colored according to SingleR automated cell type annotation. h Bar plot showing the proportion of each SingleR-predicted cell type in each cluster. i Bar plot showing the proportion of each sample in each cluster.