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Supplementary data for the manuscript "Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic"

Dataset

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PublisherEdinburgh DataShare
Date made available7 Jun 2019
Geographical coverageUNITED KINGDOM,UK

Abstract

Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding protein that is mutated in the neurological disorder Rett Syndrome. Despite much research, the molecular mechanism by which MeCP2 regulates gene expression is not fully resolved. Here we integrate quantitative, multi-dimensional experimental analysis and mathematical modelling to show that MeCP2 is a novel type of global transcriptional regulator whose binding to DNA creates "slow sites" in gene bodies. Waves of slowed-down RNA polymerase II formed behind these sites travel backward and indirectly affect initiation, reminiscent of defect-induced shock waves in non-equilibrium physics transport models. This mechanism differs from conventional gene regulation mechanisms, which often involve direct modulation of transcription initiation. Our findings point to a genome-wide function of DNA methylation that may account for the reversibility of Rett syndrome in mice. Moreover, our combined theoretical and experimental approach provides a general method for understanding how global gene expression patterns are choreographed.

Data Citation

Waclaw, Bartlomiej; Cholewa-Waclaw, Justyna; Shah, Ruth; Webb, Shaun; Chhatbar, Kashyap; Ramsahoye, Bernard; Pusch, Oliver; Yu, Miao; Greulich, Philip; Bird, Adrian. (2019). Supplementary data for the manuscript "Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic", [dataset]. University of Edinburgh. School of Physics and Astronomy. https://doi.org/10.7488/ds/2568.

ID: 99983923