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. 2021 Mar 24;12(4):311. doi: 10.1038/s41419-021-03597-9

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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. 2 — A The principal component analysis (PCA) plot of the transcriptomic data from wild-type (WT), H3.3K36M, and H3.1K36M cells. The transcriptomic data from the independent clones of H3.3K36M- and H3.1K36M-mutant cells and two replicates were presented. B Venn diagram illustrating the overlap between the genes altered in the H3.3K36M- and H3.1K36M-mutant cells compared with their levels in WT cells. The RNA-seq data from two independent clones were merged to analyze differentially expressed genes. C Gene expression heatmap for wild-type, H3.3K36M, and H3.1K36M cells. All the changed genes between wild-type and H3K36M-mutant cells were collected for this clustering analysis. To represent the consistently changes of RNA-seq data, we firstly merged two replicates of each cell line and then merged the RNA-seq data of two independent clones of H3.3K36M and H3.1K36M. D The scatterplot shows the gene ontology (GO) analysis of the differentially expressed genes. The colors indicate the p value. The size was scaled according to the fractions of genes in the GO terms. E The expression levels of chondrogenic differentiation-related marker genes were analyzed via RT-PCR. The data are represented by the mean ± SD (N = 3 independent replicates, ***p < 0.001).