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. 2021 Mar 22;4:383. doi: 10.1038/s42003-021-01911-x

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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. 6 — a The mutational status of SEL1L3, HAPLN3, BST2, and IFITM1 in TCGA SKCM patients. Data were from the cBioPortal database. b, c mRNA levels of SEL1L3 (b) and HAPLN3 (c) in the TCGA SKCM patients stratified by the mutation status. Statistical significance was determined by the Wilcoxon test. SEL1L3 and HAPLN3 were not analyzed due to the very small sample size in the mutation group. The boxplot consists of a box and a set of whiskers. The box is drawn from the first quartile (25th percentile) to the third quartile (75th percentile) with a horizontal line drawn in the middle to denote the median. The lowest point is the minimum of the dataset and the highest point is the maximum of the dataset. d–g Correlations between mRNAs levels and methylation levels of SEL1L3 (d), HAPLN3 (e), BST2 (f), IFITM1 (g) in TCGA SKCM patients. Statistical significance was determined by the Spearman correlation test. h Heatmap of SEL1L3, HAPLN3, BST2, and IFITM1 methylation levels in H and L subtypes. Rows represent genes and columns represent patients.