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. 2023 Feb 21;13:3051. doi: 10.1038/s41598-023-28480-9

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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 licence, and indicate if changes were made. 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/4.0/.

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scRNA-seq of tumor samples. (a) Identification of cell type in individual scRNA-seq datasets displayed as a 2-dimensional projection. (b) Location and expression level of HALLMARK_EMT signature genes in scRNA-seq datasets displayed as a 2-dimensional projection. (c) HALLMARK_EMT-related gene expression by cell type. In (b) and (c), the gene signature scores (0–100) represent the gene expression level for the EMT signatures in the scRNA-seq data. Analysis of additional EMT gene set signatures showed greater fold enrichment in fibroblasts and other non-malignant stromal cells than from tumor tissue, with the exception being the GENERIC_EMT_EPI_Tan_2014 gene set (data not shown).

scRNA-seq of tumor samples. (a) Identification of cell type in individual scRNA-seq datasets displayed as a 2-dimensional projection. (b) Location and expression level of HALLMARK_EMT signature genes in scRNA-seq datasets displayed as a 2-dimensional projection. (c) HALLMARK_EMT-related gene expression by cell type. In (b) and (c), the gene signature scores (0–100) represent the gene expression level for the EMT signatures in the scRNA-seq data. Analysis of additional EMT gene set signatures showed greater fold enrichment in fibroblasts and other non-malignant stromal cells than from tumor tissue, with the exception being the GENERIC_EMT_EPI_Tan_2014 gene set (data not shown).