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. 2017 Jul 21;7:6174. doi: 10.1038/s41598-017-06351-4

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© The Author(s) 2017

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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The integrin α6β4 drives both gene specific and global DNA hypomethylation. (A–C) Genomic DNA from Panc1-2G6 (β4 low; upper panels) and Panc1-3D7 (high β4; lower panels) was processed for high-resolution methyl-seq by the NextGen Sequencing Core at the Norris Comprehensive Cancer Center. Samples were analyzed bioinformatically and percent methylation shown for EREG (A), AREG (B), and AREG pseudogene (C). (D) Percent hypomethylation and hypermethylation per chromosome when comparing Panc1-3D7 vs. Panc1-2G6. (E) Defined regions of interest assessed for changes in DNA methylation (F) Location of DMLs across the genome. (G) Percent of methylation changes located in CpG islands and shores. (H) Location of DMLs associated with H3K27Ac. (H) Distance from TSSs for DMLs (I) Distances from TSSs for DMRs (J) Number of both hypomethylated and hypermethylated regions corresponding to genomic features.