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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. 3 — a Heatmap representation and hierarchical clustering of control and leukemia samples based on the 1000 most significant (adj. p value) differentially expressed genes. b Heatmap representation of samples based on the 500 most significant (nominal p value) differentially expressed proteins between control and leukemia samples. c g:Profiler KEGG pathway functional enrichment analysis for significant and concordantly upregulated genes and proteins in leukemia samples. Significantly enriched pathways (A–G, adj. p < 0.05. Cumulative hypergeometric test) are represented in full opacity. Pathways below the significance threshold are represented in low opacity. Pathways where p = 1 are not featured. d, e Gene set enrichment analysis (GSEA)-enrichment plot of differential gene and protein expression between leukemias and controls showing a significant upregulation of the d cholesterol homeostasis and the e unfolded protein response (UPR) hallmark gene sets (normalized enrichment score (NES) > 1, FDR < 0.05). Source data are provided as a Source Data file.