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. 2021 Dec 14;12:7268. doi: 10.1038/s41467-021-27197-5

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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 Principal component analysis (PCA) plot of gene expression profiles from mouse leukemia samples. b Mutational burden map of copy number variants (CNVs), single nucleotide variants (SNVs), and indel variants with predicted high and moderate impact in genes of interest. c Heatmap of PAM posterior probabilities classification of human Ph-like samples (from ref. ¹⁶) into the two apparent Ph-like subgroups observed in IL7R mutant leukemic mice. d Oncogenes and tumor suppressor genes significantly (adj. p < 0.05; moderate t-test) up- and downregulated, respectively, in leukemic samples as compared to controls. Log2 fold-changes (FC) are indicated for each gene. Source data are provided as a Source Data file.