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. 2022 Jun 17;13(6):551. doi: 10.1038/s41419-022-05002-5

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© The Author(s) 2022

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. 4 — A Heatmap showing mRNA expression of differentially expressed genes in non-targeting sgRNA (sgNT), sgRNA targeting EHMT2 (#2) or T-ALL cells treated either with vehicle or UNC0642 (P < 0.05 and Log₂ fold changes > 1.5) and ranked for signal to noise ratio (snr). Each column represents the mean of two biological replicates per condition. B Clustergram showing transcription factor enrichment analysis (TFEA). G9a loss gene set from (A) was compared to the ChEA3 benchmark libraries as listed in https://amp.pharm.mssm.edu/chea3/#top for TF target over-representation analysis. Red boxes show the overlapping query gene targets among top library results. C Western blot showing expression of sestrin2 in PF382 cells treated at the indicated concentrations of G9a inhibitors after 48 h. Actin was used as a loading control. D Western blot showing expression of G9a/EHMT2, sestrin2, H3K9me2, and H3 Total, in PF382 and SUPT1 cells after 2 days post sgRNA selection. HSP90 was used as a loading control. NT non targeting; #2 = sgRNA #2 directed against EHMT2.