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. 2023 Jul 10;14:4057. doi: 10.1038/s41467-023-39684-y

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© The Author(s) 2023

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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Fig. 2 — a Dimension reduction shows the top two principal components that capture 34.8% and 18.9% variability in the global metabolic differences in the indicated samples. b The heatmap shows the top enriched and depleted metabolites in WT and MED12 Gly-44 mutant cells. Each raw represents a biological replicate (n = 4 total). c The scatterplot shows statistical significance (−log10 p value) versus the magnitude of change (−log 2-fold change) in metabolites of MED12 Gly-44 cells vs. WT cells. d The bar plots show the normalized intensity of LC-MS peaks for Tryptophan and Kynurenine metabolites in indicated cells (n = 5 replicates). Error bars indicate the standard error of the mean. For statistical tests, a two-sided unpaired t test was used. e Dot plots show the p value and enrichment levels of top metabolic terms for the differentially regulated metabolites between WT and MED12 mutant cells. f Western blots show MED12 and TDO2 protein levels, and B-actin and Ponceau S staining is shown for loading control. Whole membrane blots are shown in Supplementary Fig. 12.