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. 2023 Aug 10;5(9):1544–1562. doi: 10.1038/s42255-023-00861-4

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© The Author(s) 2023

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. 5 — a. Protocol for the generation of single-cell RNAseq data. b, UMAP of Seurat clusters identified in the individual treatment groups parental, VR and VR_RANO. c, UMAP plots of VR compartment coloured for high discrete expression of the invasive or MITF activity state based on the 90th percentile of signature scores across the whole dataset. The corresponding clusters are shown. d, Enrichment analysis using gene markers for invasive^high (VR cells), MITF activity^high (VR cells) and indicated clusters (VR compartment) against MSigDB hallmark gene set collection⁶³. e, UMAP plots of VR_RANO compartment coloured for high discrete expression of the invasive or MITF activity state based on the 90th percentile of signature scores across whole dataset. The corresponding clusters in VR_RANO compartment are shown. f, Enrichment analysis using gene markers for invasive^high (VR_RANO cells), MITF activity^high (VR_RANO cells) and indicated clusters (VR_RANO compartment) against MSigDB hallmark gene set collection⁶³.