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. 2022 May 11;605(7911):728–735. doi: 10.1038/s41586-022-04718-w

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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. 4 — (a) Heatmap overlays for the expression of key lineage transcripts on the UMAP plot for the APC population (see main Figure 2b). (b) Relative abundance of the APC clusters across donors and tissue origin. (c) Relative contribution of each tissue source to the indicated APC cluster (colors match the cluster description in main Fig. 2b). (d) Heatmaps showing the top 30 transcripts that were differentially expressed in HNSCC for the DC3 cluster (left) and cDC1 cluster (right), which are the two clusters showing the largest number of DE genes between OM and HNSCC (see main Figure 2e). (e) Heatmaps showing the top 30 transcripts that were shared between OM and HNSCC, but differentially expressed from matched peripheral blood, for each of the indicated APC clusters (mono classical, mono non-classical, cDC2s, DC3s, cDC1s and mreg DCs). For (d) and (e), the APC clusters identified in the scRNA-seq data (main Figure 2b) were subsetted, and either the genes shared between OM and HNSCC cells, or genes differentially expressed between HNSCC and OM cells were identified by the Seurat implementation of MAST (see material and methods and Github script for additional details).