Study / S3Y6NAR272024-02-26
DNA methylation-environment interactions in the human genome
Rachel A. Johnston, Katherine A. Aracena, Luis B. Barreiro, Amanda J. Lea, Jenny Tung
About this study
Previously, we showed that a massively parallel reporter assay, mSTARR-seq, could be used to simultaneously test for both enhancer-like activity and DNA methylation-dependent enhancer activity for millions of loci in a single experiment (Lea et al., 2018). Here, we apply mSTARR-seq to query nearly the entire human genome, including almost all CpG sites profiled either on the commonly used Illumina Infinium MethylationEPIC array or via reduced representation bisulfite sequencing. We show that fragments containing these sites are enriched for regulatory capacity, and that methylation-dependent regulatory activity is in turn sensitive to the cellular environment. In particular, regulatory responses to interferon alpha (IFNA) stimulation are strongly attenuated by methyl marks, indicating widespread DNA methylation-environment interactions. In agreement, methylation-dependent responses to IFNA identified via mSTARR-seq predict methylation-dependent transcriptional responses to challenge with influenza virus in human macrophages. Our observations support the idea that pre-existing DNA methylation patterns can influence the response to subsequent environmental exposures-one of the tenets of biological embedding. However, we also find that, on average, sites previously associated with early life adversity are not more likely to functionally influence gene regulation than expected by chance.
Full author list & citation
Rachel A. Johnston, Katherine A. Aracena, Luis B. Barreiro, Amanda J. Lea, Jenny Tung. DNA methylation-environment interactions in the human genome. 2024-02-26. https://doi.org/10.7554/eLife.89371
Experiments 4
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Captured human genomic DNA from GM12878 was cloned into the episomal pmSTARRseq1 reporter, treated with M.SssI or a sham reaction, and transfected into K562 cells. The table contains model statistics for 216,091 study-QC-passed windows under baseline/vehicle conditions.
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The captured GM12878 genomic mSTARR-seq library was treated with M.SssI or sham-treated, transfected into K562, and exposed to 1 µM dexamethasone 42 hours after transfection. The table contains model statistics for 250,569 study-QC-passed windows harvested 6 hours after stimulation.
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The previously generated Lea et al. 2018 mSTARR-seq library was treated with one M.SssI methyltransferase reaction or one sham reaction and transfected into HepG2 cells. The table contains model statistics for 514,742 study-QC-passed baseline windows.
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The captured GM12878 genomic mSTARR-seq library was treated with M.SssI or sham-treated, transfected into K562, and exposed to 2,000 U/mL IFNA2b 42 hours after transfection. The table contains model statistics for 193,948 study-QC-passed windows harvested 6 hours after stimulation.