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. 2021 Jan 11;12:245. doi: 10.1038/s41467-020-20491-8

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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 Clustering analysis of transcriptomic data obtained from mTORC1 high or low AML cells harvested from mouse bone marrow. b Gene ontology analysis of differentially expressed genes obtained from mTORC1 high or low AML cells harvested from mouse bone marrow. c Gene set enrichment analysis (GSEA) of differentially expressed genes obtained from mTORC1 high or low AML cells harvested from mouse bone marrow. d Classification of human AML samples (GSE12417) with the mouse mTORC1 high AML cell gene signature (mouse mTORC1 high gene signature). e GSEA of transcriptomic data (GSE12417) obtained from human AML samples classified according to their expression of the mouse mTORC1 high gene signature. f Overall survival probability of AML patients classified according to their expression of the mouse mTORC1 high gene signature. Overall log-rank test p-value (All) and the p-value at different time points (day 300, 600, and 900) were shown.