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. 2022 Apr 6;12:5776. doi: 10.1038/s41598-022-09765-x

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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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Correlations between average DNA methylation levels and gene expression. (A) Volcano plot showing Pearson’s correlation between average DNA methylation in SINE Alu elements and gene expression in the KG1a dataset. Genes involved in ‘translational initiation’ and ‘leukocyte mediated immunity’ are highlighted in purple and green, respectively. (B) Select examples showing expression levels of an individual gene and average DNA methylation levels in our treated and untreated KG1a cells. Examples include 6 genes (NPM1, FABP5, HLA-A, IFI44L, LAPTM5 and FCER1G) and 2 TEs (MER63C and L1PA11). The Pearson’s correlation coefficient (r) and false discovery rate (FDR) for each correlation are shown. RPM = reads per million. (C) Gene ontology (Panther) results for statistically overrepresented biological pathways in all genes with expression correlated to DNA methylation (FDR < 0.05). For related terms, only the pathway with the highest number of correlated genes is displayed for simplicity.