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. 2022 Feb 4;12:1943. doi: 10.1038/s41598-022-04827-6

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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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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High zinc concentrations inhibit MYC as a transcriptional regulator of metabolic gene expression in CD4⁺ T cells. (A) Upstream regulator anaylsis using Landscape in silico analysis (Lisa; http://lisa.cistrome.org/)³¹ of the RNA sequencing data from OT-II TCR tg CD4⁺ T cells in the presence of 100 μM or 150 μM zinc aspartate 24 h after activation. (B) Upstream regulators specific to OT-II TCR tg CD4⁺ T cells in the presence of 150 μM zinc aspartate identified by IPA. (C) Shared upstream regulators between OT-II TCR tg CD4⁺ T cells in the presence of 100 μM and 150 μM zinc aspartate identified by Ingenuity Pathway Analysis (IPA). (D) Histograms show nuclear MYC expression in OT-II CD4⁺ T cells activated for 24 h in the absence or presence of the indicated zinc concentrations. Graphs show cumulated data from 4 mice. RNA sequencing data (A–C) was generated in biological triplicates from 3 mice. Statistical analysis in (D) by one-way ANOVA followed by Tukey’s honestly significant difference (HSD) post hoc test for multiple comparisons. Data in (D) are from 4 mice. *p < 0.05, **p < 0.01, ***p < 0.001.